Software Engineer - Data Solutions

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 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.

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.

About RoxRox is pioneering an AI-driven revenue operating system tailored for contemporary go-to-market teams. With the support of esteemed investors such as Sequoia, GV, and General Catalyst, we are collaborating with ambitious enterprise teams to transform disjointed CRM workflows into cohesive, intelligent systems. Rox seamlessly integrates data across the GTM stack, employs AI agents to execute real tasks, and equips revenue leaders with a clear, unified view of the factors that truly influence outcomes.As a dynamic Series A startup, we are tackling one of software's most entrenched domains. Our success stems from a blend of rigorous technical expertise and an unwavering commitment to delivering value.About the Solutions Engineering TeamAt Rox, the Solutions Engineering team is not just a support function; it plays a crucial role in shaping products and defining deals. Positioned at the intersection of Sales, Product, and Engineering, this team is tasked with transforming Rox's technical prowess into tangible customer benefits.Joining our East Coast Solutions Engineering team at this foundational stage, you will collaborate with an incoming Solutions Engineering leader and three existing SEs based in San Francisco. Your contributions will help define the scalability of this function in New York, setting standards for demos, scoping, integration, and sales that will serve as the company's blueprint.About the RoleThis founding-level Solutions Engineer position is ideal for a candidate who is both technically adept and deeply committed to customer satisfaction, with strong opinions on the optimal functioning of sales engineering.You will immerse yourself in real deals, conducting technical discovery, designing integrations, and leading demonstrations that clearly showcase how Rox fits within customer data and GTM ecosystems. Beyond execution, you will identify inefficiencies within the sales process, refining demo flows, enhancing technical narratives, and setting higher standards for future team members.If you thrive on being the technical expert who can clarify complex concepts, this role is tailor-made for you.What You’ll DoQuickly become a product expert, gaining a thorough understanding of Rox’s architecture, use cases, and customer workflows.Collaborate closely with Sales to conduct impactful technical demos and support deals from initial contact through to closure.Design and articulate integrations across data warehouses, CRMs, AI agents, and modern GTM tools.Lead technical discovery sessions that uncover genuine customer challenges — transcending mere stated requirements.Translate technical complexities into clear, actionable insights for customers.

Artian AI is at the forefront of revolutionizing enterprise process automation through an innovative agentic AI-driven model. Our mission is to redefine the boundaries of possibilities within regulated sectors, notably in financial services. By enhancing the concept of AI Workflow Agents, we enable seamless collaboration among them, moving beyond what traditional RPA and BPM tools have promised. Artian aims to make AI-powered automation scalable, reliable, and adaptable, starting with financial services while exploring vast opportunities across various industries. Our expert team is pioneering advancements in multi-agent automation to tackle large-scale, mission-critical challenges. Discover more about our vision and solutions at https://artian.ai/company.As we expand rapidly, we are seeking a talented Solutions Engineer eager to collaborate with our product development and go-to-market teams, as well as large enterprise clients, to create and implement innovative multi-agent AI solutions tailored to specific customer needs using the Artian Intelligence Platform.Please note: This role requires on-site presence in New York, with some flexibility for remote work.

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.

At Similarweb, we are transforming the way businesses engage with the digital landscape by providing insights into the online world. Our innovative data solutions empower over 6,000 clients across the globe, including major players like Google, eBay, and Adidas, to make impactful decisions that enhance their digital strategies. Following our public listing on the New York Stock Exchange in 2021, we continue to achieve remarkable growth. Join a team of intelligent, inquisitive, and collaborative individuals from around the world who are dedicated to making a difference.We are seeking a Data Solutions Engineer (DSE) who can merge extensive technical knowledge with exceptional customer engagement skills to create and implement scalable data solutions for enterprise clients. You will collaborate with the Enterprise Sales and Account Management teams to conduct technical discovery, design solutions, and strategize integration within complex, consultative projects. This revenue-generating pre-sales position is centered on promoting technical adoption and ensuring long-term client success.

Who We AreAddepar is a cutting-edge global data and AI platform that empowers investment professionals to transform intricate financial data into actionable insights. By unifying portfolio, market, and client data into a comprehensive portfolio view, Addepar delivers AI-driven insights tailored for investment and client workflows. Over 1,400 firms across nearly 60 countries rely on Addepar to manage and advise on approximately $9 trillion in assets. Our open platform seamlessly integrates with around 650 software, data, and consulting partners, facilitating end-to-end investment operations for organizations of varying sizes and complexities. With a global presence in New York City, Salt Lake City, London, Edinburgh, Pune, Dubai, Geneva, and São Paulo, Addepar is committed to supporting clients worldwide.The RoleThe Investor Solutions team at Addepar is expanding!Navigator, a quantitative liquidity risk projection tool, is a pivotal component of Addepar's multi-product ecosystem. Acquired in 2021, Addepar has heavily invested in this essential product, surpassing initial multi-million ARR goals. By 2026, Navigator will serve as the foundation for developing key workflows tailored to large institutions, further enhancing integration within the Addepar ecosystem.As we continue to grow, we are seeking a Backend Software Engineer to leverage their unique expertise alongside our existing Engineering team. This role offers exciting opportunities for long-term growth as the product evolves and scales into new global markets.Addepar employs a market-based compensation approach. The starting salary for successful candidates will be based on the role, relevant skills, experience, qualifications, work location, and prevailing market conditions. The displayed salary range reflects the minimum and maximum target base salary for roles in Colorado, California, and New York.The current salary range for this position is $107,000 - $168,000, in addition to bonus, equity, and benefits.Your recruiter will provide more specific salary details for your preferred location during the hiring process. Please note, these ranges reflect base salary only and do not include additional compensation.Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (e.g., employment-based visas such as H-1B, F-1/OPT, or similar).

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.

Role Overview Mixpanel is looking for a Solutions Engineer to join the team in New York (hybrid). This role focuses on helping customers succeed by offering technical guidance and practical solutions. The Solutions Engineer works closely with sales and product colleagues to address each client's analytics needs. What You Will Do Advise customers on technical approaches and best practices for Mixpanel's platform Work alongside sales and product teams to develop solutions tailored to client requirements Translate complex technical topics into clear, actionable recommendations for clients Support clients as they use data to inform their business decisions

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 our innovative Data Solutions team, where we're developing the core intelligence platform relied upon by prominent public and private sector organizations to investigate threats, monitor risks in real-time, and extract valuable insights from blockchain and related data on a large scale. We prioritize agility and efficiency, seeking engineers who are eager to take ownership, thrive in a fast-paced environment, and are motivated by the mission requirements of our clients to deliver significant real-world impact.In this position, you will:Design and spearhead the development of new platform features that support critical investigations and monitoring processes.Manage services that handle the ingestion, transformation, and delivery of hundreds of terabytes of data, ensuring service-level objectives (SLOs) for latency, freshness, and availability are met.Enhance the scalability, performance, and cost-effectiveness of our data plane and APIs.Elevate quality standards across reliability, security, and compliance for both cloud and on-premises setups.Mentor engineers across various teams and influence the technical strategy beyond your immediate group.Own and improve backend services that drive customer-facing APIs, usage and billing systems, alerting, and data observability.Lead both team and cross-team initiatives from start to finish: discovery, architecture, implementation, rollout, and post-launch analysis.Design event-driven and streaming workflows (e.g., Kafka) with robust data contracts and schema evolution.Promote operational excellence through SLOs, runbooks, on-call duties, incident reviews, and capacity planning for high-query-per-second systems.Collaborate with product, data engineering/science, and security teams to translate customer needs into sustainable systems.We seek candidates who possess:Extensive backend engineering experience in building cloud-hosted services and data pipelines, preferably on AWS or GCP (experience with both is a plus).Strong expertise in APIs, streaming systems, and distributed systems (e.g., microservices on Kubernetes).Proven track record of managing systems at scale (hundreds to thousands of requests per second; terabyte to petabyte data volumes).High level of judgment regarding reliability, security, and cost management, demonstrating measurable improvements.Capability to lead through influence—mentoring, conducting design reviews, and collaborating across teams.

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.

The New York Times is on the lookout for a dynamic Principal Software Engineer to spearhead the architecture and advancement of our data and machine learning infrastructure. This pivotal role will lay the groundwork for innovative data-driven products, analytics, and AI applications. You will be responsible for designing robust systems that facilitate large-scale data processing, reliable pipelines, and efficient machine learning development, including feature engineering and real-time model serving. As a principal engineer, you will collaborate closely with product, data science, and platform teams to establish the technical direction, promote the adoption of reusable frameworks, and mentor engineers throughout the organization. Your focus will be on ensuring that both data and ML platforms are scalable, reliable, cost-efficient, and compliant with privacy and governance standards. Our core Data Platform integrates a data lake on AWS S3 with Apache Iceberg for enhanced reliability, while data ingestion leverages Confluent Kafka for real-time streaming and Fivetran for file ingestion. The transformation layer utilizes Apache Flink for stream processing, AWS Glue (Spark) for core ETL, and dbt/Athena for analytical data models. The platform efficiently serves data through specialized data stores, including Amazon DynamoDB for low-latency applications and Google BigQuery as the primary analytics engine. This is a hybrid role based in our New York City headquarters, reporting directly to the Sr. Director of Engineering. Expect to work in the office 2+ days per week.

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)