Principal Software Engineer, Data Infrastructure

At Authentic Insurance, we empower insurance brokers to develop superior insurance products tailored for their clients. Leveraging our cutting-edge technology platform and comprehensive support, brokers can craft customized insurance solutions aimed at specific industries or customer segments. We act as the operational backbone for these specialized insurance offerings, enabling brokers to provide unique products that set them apart from their competitors. This results in increased earnings and reduced administrative burdens, allowing brokers to focus on customer service and business growth. Our expertise encompasses intricate areas such as technology integration, compliance, and partnerships with top-rated insurance carriers.Key ResponsibilitiesDesign and implement robust data pipelines and infrastructure that support underwriting models, claims processing, and operational reporting.Take ownership of data models from inception through transformation to delivery, ensuring high standards of data quality, freshness, and accessibility for internal teams, product features, and external partners.Identify and resolve bottlenecks in existing data workflows, implementing solutions that enhance reliability, reduce latency, and scale with business growth.Develop and maintain data warehouse architecture optimized for both analytical and operational use cases.Collaborate with engineering, product, and operations teams to assess data requirements and translate them into effectively designed pipelines and models.Establish monitoring, alerting, and data quality checks to proactively identify issues before they affect downstream users.Contribute to data governance initiatives, including documentation, lineage tracking, and access management to meet regulatory and compliance standards.

At Genius Sports, we harness next-gen technology and the most accurate live data to usher in a new age of sports for fans globally, providing them with more immersive, interactive, and personalized experiences than ever before. Discover more at geniussports.com About the RoleWe are seeking talented Software Engineers eager to embrace continuous learning and take full ownership of their tools and products, adhering to best practices in Agile Software Development. We believe that a proficient engineer can transition between projects and acquire new skills effortlessly if driven by passion. Don’t let your current programming language or framework deter you from applying!Your technical expertise and pragmatic approach to problem-solving will be essential as you collaborate with a team prioritizing Agile delivery and ongoing improvement. You will adopt a data-driven mindset, comfortable with continuous experimentation and validation.Key ResponsibilitiesDesign, develop, and maintain data processing applications and services utilizing Spark, Java, and Kotlin.Construct and manage ETL pipelines and Data Processing architectures.Implement and oversee relational databases, ensuring data integrity and optimal performance.Enhance applications for peak speed and scalability.Produce clean, maintainable, and efficient code.Diagnose and rectify application issues.Keep abreast of emerging technologies and industry trends.QualificationsDemonstrated experience as a Software Engineer.Proficiency in at least one distributed columnar data store (e.g., Spark, Hive, Redshift, Presto, Snowflake).Proficiency in a compiled language (Java, Scala, Kotlin, Python).Strong comprehension of relational databases (MySQL, PostgreSQL).Familiarity with version control systems (e.g., Git).Excellent analytical skills and attention to detail.Able to work independently as well as part of a team.Exceptional communication skills.

About UsAt Perchwell, we are redefining the landscape of real estate listings. Our innovative platform empowers agents to conduct intelligent searches, enhance collaboration, and expedite transactions. We are dedicated to establishing a state-of-the-art infrastructure for residential real estate listings, seamlessly merging market research with client collaboration.Our cutting-edge architecture supports ongoing innovation that outpaces legacy systems, featuring AI-driven functionalities and mobile-first designs tailored for real-world applications by agents. As technology and consumer expectations evolve, our commitment remains steadfast: to provide real estate professionals with the most sophisticated, data-centric, and interconnected platform available.Supported by premier venture capital firms like Lux Capital and Founders Fund, along with strategic alliances with leading Multiple Listing Services (MLSs), Perchwell stands as the foremost new entrant into the listings technology market in decades. This unique blend of institutional backing and industry integration offers the resources and credibility necessary to revolutionize the multi-trillion dollar residential real estate sector.Position OverviewAs a Senior Software Engineer, Data, you will be integral to Perchwell's mission of developing a cohesive Multiple Listing System (MLS). You will work collaboratively with cross-functional teams, including Data Analysts, Product Managers, Designers, and Engineers, to construct robust data solutions. Your responsibilities will encompass establishing a data lake and warehouse solution, enhancing our existing data framework, and creating a premier system that accelerates the accurate onboarding of client data. As a key contributor to this initiative, you will have the chance to influence the standards, culture, and values of the data engineering team.We invite candidates to work from our SoHo NYC office three days a week.Your ContributionsDevelop and scale efficient data pipelines that integrate millions of property listings and market insights from diverse real estate data sources and APIs.Promote data excellence by designing automated governance systems that ensure high data quality and comprehensive observability across our platform.Drive the advancement of our data infrastructure to facilitate swift MLS onboarding, crafting solutions that benefit real estate professionals across the nation.Collaborate with our Data Analytics team to convert raw property data into actionable insights that enhance decision-making processes.

Role Overview adonis is hiring a Senior Software Engineer focused on the Data Platform in New York City. This role centers on building and refining data solutions that help the company serve clients better. The position calls for hands-on leadership in developing and optimizing data systems. What You Will Do Lead the design and improvement of data architectures for the platform Collaborate with teams across the company to deliver reliable data solutions Implement analytics tools and processes that support business insights and decision-making Collaboration This role works closely with colleagues from engineering, analytics, and other departments to create and maintain data systems that meet business needs.

At Peregrine Technologies, we are backed by prominent Silicon Valley investors and are committed to aiding public safety organizations, state and local governments, federal agencies, and private-sector institutions in meeting society's challenges with remarkable speed and precision. Our cutting-edge AI-enabled platform converts fragmented and isolated data into actionable operational intelligence, providing immediate access to crucial information that empowers swift and informed decision-making, enhancing outcomes across all interactions. Presently, Peregrine serves hundreds of clients across over 30 states and two countries, benefiting more than 125 million people, and we are on a mission to expand our impact globally.TeamWe believe that empathy is essential in crafting superior solutions. Understanding how users interact with our products is a priority, allowing us to arrive at the best answers effectively. Engineers will closely collaborate with our onsite team to comprehend the diverse use cases that Peregrine addresses.We are actively seeking a Data Governance Engineer to join our dynamic engineering teams, tackling a variety of challenges, from facilitating real-time user collaboration on intricate maps to constructing high-scale backend architectures capable of processing billions of data points.The Data Governance team is responsible for developing services, systems, and product features that enable our customers to manage their data assets throughout their lifecycle within the Peregrine platform. We ensure robust, secure data access and comprehensive audit capabilities.RoleAs a Software Engineer on our expanding team, you will enjoy significant ownership over our technology stack. You will play an integral role in designing and constructing the next iteration of our core access control and governance systems, which manage access to over 7 billion data points within Peregrine's multi-tenant data platform. Your work will involve implementing fine-grained permissions, audit functionality, policy enforcement, metadata management, data labeling, and compliance across the platform.You will collaborate closely with Product Managers to guide projects from conceptualization to design and execution. Your design and development of data governance features will involve making thoughtful trade-offs to achieve an optimal balance between security and user experience.Our technology stack is continually evolving, built on a robust backend foundation comprising Python, Django, Celery, Airflow, and Kafka, with a frontend developed using React, Redux, and Mapbox. We utilize data stores including PostgreSQL and Elasticsearch, and host machine learning models on Bedrock and Sagemaker, while leveraging AWS, Pulumi, Terraform, and Kubernetes as our foundational infrastructure.

About Clear Street:At Clear Street, our mission is to empower sophisticated investors with access to every asset across all markets through a seamless and unified platform designed for speed, transparency, and scalability.We provide our clients with cutting-edge technology, innovative tools, and exceptional service that were once exclusive to the largest financial institutions, all constructed on a modern infrastructure. Our comprehensive, cloud-native, end-to-end capital markets platform fuels investor growth today while revolutionizing their market interactions for tomorrow.For further details, please visit https://clearstreet.io. The Team:The FACT team is at the forefront of developing key data products that enable Clear Street’s systems and personnel to function with precision and efficiency. These products encompass security and pricing masters, corporate actions, and streaming market data, along with various essential reference datasets. The FACT team meticulously gathers inputs from a multitude of sources, including vendors, public channels, and internal units, curating them into comprehensive data products that serve as the definitive source of reference data within the organization. FACT Team Stack: C++, Rust, Go, Java, Python, gRPC, PostgreSQL, Snowflake, Kafka, Kubernetes The Role:We are seeking a talented and experienced Software Engineer to join our dynamic team, focused on constructing high-performance, real-time data pipelines to process financial market data, including security prices across various asset classes such as equities, options, futures, and more. In this pivotal role, you will be instrumental in designing, developing, and optimizing data pipelines capable of handling substantial volumes of data with minimal latency and maximum throughput, ensuring our systems can efficiently process and deliver market data in real-time.

At Genius Sports, we are pioneering a new era in sports engagement by combining advanced technology with the highest quality live data. Our goal is to create immersive, interactive, and personalized experiences for sports fans around the globe. Learn more about us here. geniussports.com.Position Overview - Senior Software Engineer, Data PlatformWe are seeking a Senior Data Platform Engineer to architect and scale the core systems that underpin our data ecosystem. In this pivotal role, you will lead the design and modernization of our data infrastructure, empowering teams throughout the organization to swiftly, reliably, and securely access and utilize data. You will spearhead significant platform initiatives from inception to production, carefully navigate architectural decisions, and closely collaborate with product teams and cross-functional stakeholders to drive engineering strategy.This role is perfect for a technically adept leader with extensive experience in distributed systems, modern data lakehouse and streaming architectures, and large-scale data operations. A strong passion for mentorship, technical excellence, and creating systems that yield substantial business impact is essential.Key ResponsibilitiesDesign, construct, and oversee the foundational systems and features of the Data Platform, facilitating internal teams' ability to access and utilize data efficiently and securely.Lead the modernization of our data infrastructure while managing technical complexities and making informed architectural decisions to enhance our foundation and boost organizational productivity.Act as a technical leader for extensive Data Platform initiatives, influencing architectural choices and engineering direction in collaboration with product and cross-functional teams.Mentor junior and mid-level engineers, enhancing their skills and preparing them for greater responsibilities.Stay informed on emerging technologies and industry advancements in data systems and platform development.

About AtriaAtria Health is a pioneering membership-based preventive healthcare practice that provides state-of-the-art primary and specialty care across New York, South Florida, Los Angeles (anticipated in 2026), and globally via 24/7 telemedicine services.Our dedicated team of over 60 leading physicians specializes in delivering proactive, preventive, and precision care tailored to the unique needs of Atria members and their families. We are committed to enhancing both lifespan and healthspan through comprehensive screenings, innovative therapeutics, and customized interventions aimed at disease prevention and early detection.Each member's healthcare journey is guided by a dedicated Chief Medical Officer collaborating with specialists in various fields, including cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more.Through the nonprofit Atria Research Institute and Public Health Institute, we are also focused on expediting the application of medical breakthroughs and broadening access to preventive care for a greater number of individuals.Atria Health is on the lookout for a Senior Software Engineer to join our Data Engineering team. This senior role will be instrumental in advancing our data infrastructure, pipelines, and analytics platforms. You will be responsible for designing and constructing scalable data systems, mentoring fellow engineers, and collaborating with cross-functional product teams (Clinical Experience, Member Experience, and Care Delivery) to ensure the delivery of reliable, high-quality data that informs insights and decision-making. Your contributions will be critical in supporting Atria's long-term research goals and empowering our physicians to extract innovative clinical insights. You will take ownership of intricate data initiatives from conception through execution while establishing best practices that enhance the entire engineering organization.Technology StackLanguages: Python, SQLData Processing: Dagster, dbtInfrastructure: Google Cloud Platform, Terraform, Kubernetes, DockerData Storage: Snowflake, PostgreSQL, MySQLStreaming: Pub/Sub, KafkaCI/CD: GitHub ActionsMonitoring & Observability: Datadog, Grafana, OpenTelemetryKey ResponsibilitiesData Infrastructure & PipelinesDesign, build, and maintain scalable data pipelines and ETL/ELT workflows.Contribute to the ownership and enhancement of our Snowflake data warehouse architecture.Implement data modeling best practices to cater to analytics and reporting requirements.Lead initiatives to enhance data quality, including validation, testing, and monitoring frameworks.Cross-Team CollaborationCollaborate with product engineering teams to create data contracts and integrate data capture into applications.Work closely with Analytics and Business Intelligence teams to comprehend reporting needs and deliver reliable data solutions.

At Authentic Insurance, we empower insurance brokers to develop exceptional insurance products tailored to the needs of their clients. Our innovative technology platform and comprehensive support enable brokers to create custom insurance solutions for specific industries and customer segments. Essentially, we serve as the backbone of these specialized insurance offerings, allowing brokers to provide unique products that set them apart from competitors. This not only enhances their revenue potential but also minimizes the time spent on administrative tasks and paperwork. We take on the complexities of technology, compliance, and partnerships with top-rated insurance carriers, enabling brokers to concentrate on delivering unparalleled service to their clients and expanding their businesses.Key ResponsibilitiesLead the design and execution of data pipelines and infrastructure that fuel underwriting models, claims processing, and operational reporting, overseeing the process from initial problem identification to final delivery.Manage the data warehouse architecture, making informed decisions that optimize analytical performance, meet operational demands, and ensure long-term scalability.Establish technical standards and best practices for data modeling, pipeline development, and data quality across the engineering team.Identify and resolve bottlenecks in the data stack, developing solutions that enhance reliability, reduce latency, and support business growth.Collaborate with engineering, product, and operations teams to understand data requirements and translate them into effectively designed systems.Create monitoring, alerting, and data quality frameworks to proactively identify issues before they affect downstream users.Promote data governance practices, including documentation, lineage tracking, and access controls to meet regulatory and compliance standards.Mentor and guide team members, fostering their technical growth and encouraging a sense of ownership.

Speechify is seeking a Software Engineer focused on Data Infrastructure and Acquisition based in Ithaca, NY. This position centers on building and refining the core systems that drive the company's data operations. The work includes designing and enhancing data pipelines, supporting efficient processing, and developing methods for acquiring new data sources. Key Responsibilities Develop and optimize data infrastructure that supports Speechify’s products and services Implement and improve processes for acquiring and handling data Collaborate with engineers and other teams to strengthen the overall technology stack Contribute to how data is managed, processed, and integrated across the company Collaboration This role works alongside a skilled team dedicated to advancing Speechify’s approach to data. Team members share knowledge, solve problems together, and drive ongoing improvements in data systems.

Join Ramp as a Software Engineer focusing on our Data Platform, where you will play a crucial role in enhancing our data infrastructure. You will collaborate with cross-functional teams, leveraging cutting-edge technology to build scalable solutions that empower data-driven decision-making. This is an exciting opportunity to contribute to a dynamic team and make a significant impact within our organization.

Vendelux is revolutionizing the way organizations discover, evaluate, and leverage the power of events.Event marketers play a crucial role in driving pipeline growth and brand visibility, yet events often remain one of the least optimized and most opaque marketing channels. Vendelux aims to change this dynamic. We offer a comprehensive system of record for event marketing, empowering teams with the data and insights necessary to make informed, strategic decisions.Our AI-driven platform provides exclusive insights across over 250,000 events, enabling high-growth companies to pinpoint where their ideal customers will be, optimize ROI, and transform events into scalable growth channels. Customers frequently describe Vendelux as an essential tool for event marketers. A significant aspect of this success is our expanding network of partnerships with event organizers, who share first-party attendee and sponsorship data in exchange for valuable market insights.Additionally, Vendelux Meetings empowers customers to translate event insights into actionable strategies, leveraging AI to identify high-value attendees and automatically schedule one-on-one meetings with the right prospects at conferences. This process enhances pipeline generation and ensures that every event has a substantial impact.Founded in 2021, Vendelux is a Series A SaaS company backed by prominent investors, including FirstMark, with a recent funding round of $14 million. Our team comprises professionals with experience from notable companies such as Bain, ZoomInfo, Shutterstock, Compass, Forter, Airbnb, and more.We seek a Senior Software Engineer, Data & AI who thrives at the intersection of software engineering, data engineering, and applied AI to construct production-grade systems. You will be responsible for developing, deploying, and scaling features that are integral to our product. This position is ideal for someone who prioritizes impact over method, enjoys tackling data challenges using diverse approaches, and is eager to see their work shape the user experience.Key ResponsibilitiesDesign & Build AI-Powered Features: Architect, implement, and deliver data-driven product features, with a primary focus on addressing customer problems. From prototyping to production, you will apply the appropriate level of technology, whether straightforward heuristics or advanced AI, to create impactful solutions.Build for Production: Create maintainable and scalable systems, including writing clean, testable code, integrating with new and existing data pipelines, and deploying solutions and services within cloud environments.

Speechify aims to remove barriers to learning by transforming text into audio. Over 50 million people use Speechify’s text-to-speech tools to listen to PDFs, books, Google Docs, news, and websites. The product suite covers iOS, Android, Mac, Chrome, and web platforms. Google recognized Speechify as Chrome Extension of the Year, and Apple awarded it the 2025 Design Award for Inclusivity. The company operates fully remotely with a team of nearly 200. Team members include frontend and backend engineers, AI researchers, and professionals from Amazon, Microsoft, Google, Stanford, and founders of successful startups. Role overview Speechify is hiring a Software Engineer for the Data Infrastructure & Acquisition team in the AI department. This role centers on managing and improving data collection processes that support model training. The team builds large-scale, high-quality datasets for AI research and development, focusing on both scale and cost efficiency. Location Rochester, NY, USA (remote team)

About AlphaSense: AlphaSense is the trusted partner for some of the world's most sophisticated companies, providing them with the tools to eliminate uncertainty in decision-making. Our platform leverages cutting-edge AI and market intelligence to deliver valuable insights from a wealth of public and private content, including equity research, company filings, event transcripts, expert calls, news, trade journals, and proprietary research from our clients.The recent acquisition of Tegus by AlphaSense in 2024 propels our common goal to empower professionals in making informed decisions powered by AI-driven market intelligence. This merger will enhance our growth, innovation, and content expansion efforts, providing users with access to even richer insights from a plethora of content sets. With more than 6,000 enterprise customers, including a significant portion of the S&P 500, AlphaSense is a leader in the industry. Established in 2011 and headquartered in New York City, we boast a diverse workforce of over 2,000 employees across multiple countries, including the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us on this exciting journey!About the Team:Our Product & Engineering team thrives on diversity, fostering an environment that values innovation, teamwork, and the continuous enhancement of our platform. We provide a dynamic and stimulating work environment where our employees can develop their skills while working on pioneering technologies that are shaping the future of AI and search.At AlphaSense, we believe that a variety of experiences and perspectives are essential to our success. We are dedicated to cultivating an inclusive workplace where every employee feels valued and empowered to be their true selves.About the Role: We are on the lookout for a Lead Staff Software Engineer who will take charge of the design, evolution, and reliability of our global financial data extraction and normalization platform. This pivotal system processes filings in various formats (HTML, PDF, APIs, spreadsheets), extracting and standardizing financial data through a blend of AI and deterministic systems, while delivering reliable, traceable outputs at scale to our financial services teams and customers.This role will oversee the self-sourcing and extraction foundation utilized by multiple teams across the organization. While human validation is currently employed as a safeguard, your mission will be to systematically minimize human reliance by enhancing system accuracy, confidence, and trust, all without compromising speed or scalability.

In the United States, the healthcare system is a leading cause of personal bankruptcy, impacting over 50 million Americans annually. With the rise of high deductible health plans, the financial burden associated with healthcare is becoming increasingly severe.At Cedar, our mission is to harness the power of data science, innovative product design, and personalization to enhance the affordability and accessibility of healthcare. We strive to move beyond the traditional ‘one-size-fits-all’ approach, utilizing consumer best practices to elevate the healthcare experience for all.The RoleWe are on the lookout for an experienced Software Engineer III to become a vital member of our Data Integration and Platforms team. In this position, you will play a key role in addressing the challenges of scalability, data quality, and insightful analysis as we expand our market presence and product offerings. Your responsibilities will include developing robust systems and technologies that empower our client-facing engineers to integrate with electronic health record systems, facilitate product engineers in leveraging partner data for analysis, and support data scientists in generating business insights to enhance product development and patient experiences. This team comprises engineers from various organizational sectors, and your mission will be to contribute towards a unified vision for our data, AI, and ML platform while adapting to the dynamic business landscape.Your Contributions Will Include:Advancing our integration data pipelines from custom ETL scripts to a modern, scalable data architecture utilizing tools such as dbt, Airflow, and Snowflake.Engineering solutions for scalability, enhancing the performance of our data pipelines to efficiently process millions of records daily while ensuring high quality and robust observability.Developing our data platform to support our most popular products, establishing a solid foundation for seamless data onboarding and experimentation.Collaborating closely with delivery engineering teams to enhance the quality, speed, and scalability of data integration with healthcare providers.Implementing rigorous software engineering practices in the data domain, including version control, automated testing (unit/integration), CI/CD, and structured logging/observability.

Pearlyplan is an innovative B2B SaaS and payments provider, boasting a strong product-market fit and a cutting-edge technology stack. With over 2,500 dental offices utilizing our platform, we are on an exciting growth trajectory, consistently delivering features that benefit millions of users.In this pivotal Senior Engineer role, you will take full ownership of Pearlyplan's data platform encompassing architecture, infrastructure, and code development, utilizing production-grade TypeScript and SQL. Your contributions will extend across our broader codebase, including payments, workflows, and CI/CD, where you will act as a reliable mentor and reviewer for the team. From day one, you will be empowered to harness AI tools, adapting with the technology as we transition toward an AI-centric software development lifecycle.If you are a dedicated builder who values ownership and sets a high standard through your work, eager to help shape our strategies in this dynamic landscape of large language models, this is the opportunity for you.Our Development ApproachWe adhere to strict standards of TypeScript, leverage Cloud PostgreSQL, employ Serverless Functions, Terraform, React, GraphQL, Docker, and GitHub Actions, ensuring robust test coverage across unit, integration, and end-to-end tests.Every engineer is encouraged to explore cutting-edge AI tools, such as Claude Code, Cursor, MCP, and Bugbot, as we maintain a realistic perspective on the capabilities of large language models, continuously delivering value. Our specifications are driven by human insight, collaboratively authored with AI, and reviewed meticulously before deployment.Your ResponsibilitiesData Platform OwnershipOversee Pearlyplan's data systems comprehensively, including Postgres warehouse and OLTP infrastructure, ETL pipelines (both bulk and real-time), as well as data products and APIs.Lead the design of overall data architecture, ensuring harmonization across the platform by creating systems, abstractions, and algorithms that consolidate data from various EHRs, payment processors, and external vendors into a scalable and coherent structure.Make informed data modeling decisions with a strong emphasis on performance, observability, and operational excellence.Manage vendor SDK integrations and maintain technical relationships with vendors.Code Quality and Broader Platform ContributionsContribute across the entire application stack (frontend/backend/db) in various domains, including payments, outreach automation, reporting, and internal tooling.Lead by example, guiding both human engineers and AI agents toward excellence through mentorship, thorough documentation, and rigorous code reviews. You will serve as a trusted final reviewer across all areas of the codebase.

Speechify builds technology to make reading more accessible for everyone. Our text-to-speech tools help over 50 million people turn PDFs, books, Google Docs, news articles, and websites into audio, making it easier to read, learn, and retain information. Our products span iOS, Android, Mac, and a Chrome extension. Google named our Chrome extension Extension of the Year, and Apple recognized us with the 2025 Design Award for Inclusivity. Our team is fully remote and includes nearly 200 people from backgrounds at Amazon, Microsoft, Google, and top universities such as Stanford. We value inclusion and collaboration across all levels. Role Overview The Data team within Speechify’s AI division is hiring a Software Engineer focused on data infrastructure and acquisition. This engineer will work on building and maintaining systems for large-scale data collection, supporting model training efforts, and helping us create high-quality datasets at petabyte scale. Location New York, NY, USA

Since our inception, Fivetran has been dedicated to simplifying and ensuring reliable data access, akin to the ease of electricity. Our platform enables organizations to seamlessly integrate customer data into their data warehouses, fully prepared for analysis without requiring engineering or maintenance. We take pride in empowering more businesses daily to harness the power of data for informed decision-making.About the RoleWe are seeking a talented Staff Software Engineer to enhance our Reverse ETL product engineering team.Acquired in May 2025, our team—formerly known as Census—is now focused on integrating our exceptional data activation solutions directly into the Fivetran dashboard, providing top-tier data activation for all our clients.As a Staff Software Engineer specializing in Reverse ETL, you will play a pivotal role in embedding data activation functionalities into the Fivetran product across various aspects including user interface, authentication, billing, and data models. You will be a senior member of a collaborative, agile team composed of engineers from diverse backgrounds and varying expertise levels.This is a full-time position based in our New York office, supporting a hybrid work model that balances remote flexibility with in-person collaboration—allowing team members to connect and innovate together two days a week in the office.

About Clear Street:At Clear Street, we are dedicated to empowering sophisticated investors by providing them access to every asset across all markets through a seamlessly integrated platform designed for speed, transparency, and scalability.Our innovative technology, tools, and services were previously exclusive to large institutions, now reimagined with modern infrastructure. Our cloud-native, end-to-end capital markets platform drives investor growth today while revolutionizing market interactions for tomorrow.For more details, visit https://clearstreet.io. The Team:The FACT team plays a crucial role in managing key data products that enable Clear Street’s systems and personnel to function efficiently and with confidence. Our offerings include security and pricing master data, corporate actions, streaming market data, and various essential reference datasets. The FACT team diligently compiles inputs from diverse sources, including vendors, public databases, and internal teams, transforming them into authoritative reference data products.This flexibility and responsiveness in data access are vital for the FACT team to deliver these critical datasets across the firm. Developing these services necessitates thoughtful API design, strategic caching, and robust signaling. The precision and timeliness of this data are fundamental to the strength of Clear Street’s platform. FACT Team Technology Stack: Go, gRPC, Python, PostgreSQL, Snowflake, Kafka, Redis, Docker, Kubernetes The Role:As a seasoned Software Engineer on the FACT Team, you will collaborate with a group of passionate and highly cooperative engineers to enhance our core Platform. You will be responsible for the design and implementation of new features and services, simplifying the complexity of processing financial transactions across varied asset classes into highly scalable services. You will face challenging problems that will push your system design skills, require balancing trade-offs, and demand the implementation of clean and efficient code. As an experienced member of the team, you will mentor colleagues, refine our technical standards and best practices, and cultivate a culture of innovative system designs.