Senior Staff Software Engineer - Data

Join Us in Transforming Mental Health Care!At Spring Health, we are dedicated to revolutionizing mental healthcare by eliminating barriers that hinder individuals from receiving timely support. Our clinically validated technology, Precision Mental Healthcare, enables us to deliver tailored care—whether through therapy, coaching, medication, or other essential services—specific to each person's needs.As a trusted partner to over 450 organizations, ranging from innovative startups to Fortune 500 giants like Microsoft, Target, and Delta Airlines, we are proud to serve 10 million individuals worldwide. Our cutting-edge platform has achieved a net positive ROI for employers and is the only one in our sector to receive external validation for the savings we provide to clients.Backed by prominent investors like Generation Investment, Kinnevik, Tiger Global, and others, our recent Series E funding has propelled our valuation to $3.3 billion. We invite you to be part of our journey to make mental healthcare accessible for everyone, everywhere.This full-time leadership role is situated within the Intelligence Pod of Customer Value & Commercialization, reporting to the Director of Data Science. You will collaborate with Analytics Engineering, Software Engineering, and Product teams to measure and demonstrate the value of Spring's solutions for our clients. This is a hybrid position based in San Francisco, requiring you to be in the office 2-3 days per week at our location: 2 Embarcadero Center.Your Responsibilities:Enhance and maintain Spring's data exchange infrastructure.Occasionally engage with vendors and customers as a technical expert.Serve as a vital partner for analytics initiatives, ensuring the successful delivery of data solutions.

Join Innovaccer Analytics as a Manager - Data Exchange and Interoperability. In this pivotal role, you will lead a talented team focused on the seamless acquisition of healthcare data from diverse provider systems and third-party platforms.Your responsibilities will include overseeing the entire lifecycle of data onboarding projects, strategic planning, and relationship management with U.S. healthcare providers and IT vendors. You will also ensure compliance and functionality through rigorous testing and validation of data connections.This position offers the flexibility of telecommuting from the U.S.

Location: San Francisco, CARole: Software Engineer II - Data Management Amplitude is an AI analytics platform trusted by more than 4,700 organizations, such as Atlassian, Burger King, NBCUniversal, and Square. Teams use Amplitude to analyze, test, and improve digital experiences, with AI Agents integrated throughout the product. The company has received top rankings in several categories in G2’s Winter 2026 Report. More information can be found at amplitude.com. Amplitude’s culture centers on humility, ownership, a growth mindset, and a strong focus on customers. Teams work together, learn from both wins and setbacks, and aim to deliver real value. The company is committed to building diverse teams, believing this leads to better products and solutions. Amplitude fosters an inclusive workplace where psychological safety, empathy, and authentic connections help everyone thrive. Role overview The Data Management team at Amplitude develops the Trust Engine, a core part of the platform. This group’s mission is to go beyond basic data entry and build an intelligent, self-healing data ecosystem. What you will do Shape technical direction for how customers define, govern, and trust data at scale. Design and build systems covering the full data lifecycle, from ingestion planning to semantic enrichment and data observability. Work across backend infrastructure, APIs, and interfaces that customers use. Automate and improve data governance, supporting AI-driven features such as 'Ask AI' and Data Assistant. Address challenges related to data integrity, which is essential for analytics. Contribute to a team that iterates quickly, working on projects ranging from new features to scaling the codebase and infrastructure. As a Software Engineer II, you will Deliver features end-to-end. Take ownership of features and improvements that enhance data quality, reliability, and customer experience, from initial idea to launch, with guidance from senior engineers as needed.

About Our TeamAt DoorDash, data drives our success. Our Data Engineering team is pivotal in building robust database solutions tailored for diverse applications, including reporting, product analytics, marketing optimization, and financial reporting. By architecting pipelines, data structures, and data warehouse environments, we enable data-driven decision-making across the organization.About the RoleWe are seeking a talented Software Engineer II to join our team as a technical leader, responsible for scaling our data infrastructure, enhancing automation, and developing tools to support our expanding business needs.What You Will DoCollaborate with business partners and stakeholders to gather and understand data requirements.Work alongside engineering, product teams, and external partners to ensure seamless data collection.Design, develop, and implement high-performance data models and pipelines for our Data Lake and Data Warehouse.Establish and execute data quality checks, conduct thorough QA, and implement monitoring routines.Enhance the reliability and scalability of our ETL processes.Manage a suite of data products that deliver accurate and trustworthy data.Support and onboard new engineers as they join our team.What We Are Looking For3+ years of professional experience in data engineering, business intelligence, or a related field.Proficiency in programming languages such as Python and Java.3+ years of experience with ETL orchestration and workflow management tools, including Airflow, Flink, Oozie, and Azkaban, using AWS/GCP platforms.Strong understanding of database fundamentals, SQL, and distributed computing.3+ years of experience with distributed data ecosystems (e.g., Spark, Hive, Druid, Presto) and streaming technologies like Kafka and Flink.Experience with Snowflake, Redshift, PostgreSQL, and/or other database management systems.Excellent communication skills with a proven ability to liaise with both technical and non-technical teams.Familiarity with reporting tools such as Tableau, Superset, and Looker.Able to thrive in a fast-paced and dynamic environment.

About CondorAt Condor, we are transforming the financial infrastructure of clinical development. While substantial investments are made annually to discover and develop new therapies, the processes behind these advancements often remain outdated and disconnected. Our mission is to bridge this gap, creating a cohesive system that integrates clinical operations, vendor activities, and financial data into a real-time intelligence layer. This empowers R&D and finance teams with the insights they need to make informed decisions.Our AI-driven, pharma-native infrastructure is designed to scale industry standards that we have helped shape alongside major partners. We facilitate prediction, control, and execution in some of the most complex R&D environments globally.As we continue to gain the trust of enterprise teams, we are now focused on the critical task of scaling our operations in a high-stakes environment.Condor is a rapidly growing company, backed by leading institutional investors such as Felicis and 645 Ventures, collaborating with top 200 biopharma companies. This is a unique opportunity to contribute to the infrastructure that influences how new therapies reach patients.The RoleWe are seeking a Senior Backend and Data Platform Engineer to play a key role in developing the foundational data infrastructure for Condor’s financial intelligence platform. This position is pivotal in turning complex clinical and financial data into actionable intelligence that enterprise biopharma teams can rely on.In this role, you will be responsible for designing and managing the core data foundations that underpin Condor’s financial engine and AI capabilities. Your work will involve modeling intricate, high-stakes data, constructing reliable data pipelines and services, and ensuring that product features and intelligence workflows function with precision, consistency, and scalability. The systems you develop will directly support critical finance and operational applications.This hands-on, senior engineering position provides you with significant ownership. You will engage with backend services, data pipelines, and APIs, bringing features from concept to production. You will define necessary data schemas, transformations, and architectural patterns that become essential as our platform evolves. Although your primary focus will be on backend and data engineering, you will also be encouraged to work across the stack to ensure seamless integration of data and intelligence.

Role Overview sfcompute is hiring a Software Engineer focused on ETL and Data in San Francisco, CA. This position centers on building and maintaining data pipelines that turn raw data into actionable insights. What You Will Do Design and implement ETL processes to move and transform data efficiently Work with teams across the company to improve data quality and accessibility Support data-driven decision-making by ensuring reliable and accurate information is available

Founded in 2007, Airbnb began its journey when two hosts welcomed three guests into their San Francisco home. Today, we boast a thriving community of over 5 million hosts who have welcomed more than 2 billion guest arrivals across nearly every country worldwide. Our hosts provide exceptional stays and unique experiences, enabling guests to connect with local communities in a genuine and meaningful way.Join Our Community:At Airbnb, we prioritize the importance of reliable data across all business sectors to drive insight and innovation. To achieve this, we focus on understanding business needs, securing appropriate data sources, designing effective data models, and establishing robust and dependable data pipelines.We are currently recruiting for the following teams:The Data Stewardship Team: A dedicated group of data enthusiasts with diverse expertise in analytics, data modeling, governance, compliance, and scalable data quality. Our mission is to ensure that Airbnb meets its compliance obligations within our data ecosystem while enabling data consumers to easily find the best data suited for their needs. As part of the overall Data Infrastructure organization, we manage the online and offline data infrastructure and oversee the processes that facilitate data transitions between these environments.The Users and Contextualization Data & AI Team: A crucial component of the Marketplace Data & AI, this team focuses on developing foundational data systems that provide deeper insights into essential domains. Specifically, we concentrate on user data (Guests & Hosts) to create high-quality, well-governed user data and insights. These insights are vital for crafting personalized and context-aware experiences that enhance trip quality both on and off the Airbnb platform, ultimately enabling Airbnb to better understand and serve its users throughout their journey.Your Impact:Data Stewardship: This is integral to Airbnb's operations. High-quality data is imperative for our business decisions and the future of our AI initiatives. We are responsible for the overall strategy regarding data quality, identifying critical data and its provenance, measuring the effectiveness of our internal data products, and collaborating with our core catalog team to provide optimal data solutions.

Join Amplitude as a Senior Software Engineer, specializing in Data Management. In this pivotal role, you will lead the development and optimization of our data management systems, ensuring scalability, efficiency, and reliability. Your expertise will help shape the future of data-driven decision-making within our organization.

About the Role Siftstack is seeking a Software Engineering Manager (Data) in San Francisco. This leader will guide a skilled team of engineers focused on building data solutions. The role involves setting engineering strategy, overseeing software quality, and supporting a culture that values innovation and high standards. What You Will Do Lead and mentor a team of data engineers Shape and drive the engineering approach for data projects Oversee delivery of reliable, high-quality software Encourage new ideas and continuous improvement within the team Location This position is based in San Francisco, CA.

Join SoFi as a Senior Software Engineer in our Data Foundations team, where you will play a pivotal role in shaping our data architecture and enhancing our data-driven capabilities. You will work closely with cross-functional teams to develop robust data solutions that empower our business decisions and improve customer experiences.As a Senior Software Engineer, you will leverage your expertise in data engineering, software development, and cloud technologies to build scalable data pipelines and maintain high-quality data infrastructure. Your contributions will directly impact our ability to deliver innovative financial solutions.

Join Discord, a platform that connects over 200 million users monthly, primarily through gaming. With over 90% of our users engaging in gaming activities, they spend a staggering 1.5 billion hours playing unique titles every month. Discord is pivotal in shaping the future of gaming, enabling seamless interactions before, during, and after gameplay.Every day, countless gamers gather on Discord to strategize, celebrate victories, and foster communities around their favorite games. Behind our voice channels and streaming sessions lies vast amounts of data, capturing the essence of gaming connections.We are in search of an enthusiastic Software Engineer eager to construct data infrastructure at an enormous scale, with a genuine passion for supporting gaming communities. You will play a crucial role in developing the next-generation Data Platform that drives insightful decisions on one of the most vibrant platforms globally.If you are a Software Engineer who thrives on discussing distributed systems, prioritizes user privacy, and seeks to make data-driven decisions that impact millions of gamers worldwide, we would love to hear from you.For more insights into Discord's Data Platform, check out our engineering blog, including how we built our modern data stack leveraging open-source tools!

Peregrine Technologies builds AI-powered tools for public safety, government, and private organizations. Our platform connects fragmented data, giving clients immediate access to information that supports better decisions and outcomes. Today, we serve hundreds of clients across more than 30 states and two countries, reaching over 125 million people. Backed by leading Silicon Valley investors, we are expanding into enterprise and international markets. About the Engineering Team Peregrine’s engineers focus on building solutions with empathy for users. Understanding real-world product use is central to our approach, and engineers work closely with onsite colleagues to learn about the varied needs our clients face. Collaboration and hands-on problem solving are core to how we work. Role Overview: Senior Software Engineer, Data Governance This role sits within our core engineering group. The team tackles projects such as enabling real-time collaboration on complex maps and building backend systems that handle billions of data points at scale. The Data Governance team designs and builds services, systems, and product features that help clients manage their data assets from start to finish within Peregrine. The team’s work centers on secure, precise data access and strong audit controls. Location San Francisco, CA

About Probably GeneticProbably Genetic is revolutionizing the lives of patients with severe and complex diseases. Our advanced data platform empowers drug developers and patient advocacy organizations to create and launch innovative treatments. By leveraging cutting-edge technology, we identify undiagnosed patients online, analyze their conditions using machine learning and home testing, and facilitate compliant communication with them. Our mission is to ensure that patients gain access to diagnoses, clinical trials, and treatments at the earliest opportunity.We are a dedicated team of passionate problem solvers, driven by a purpose that transcends individual interests. By prioritizing patient welfare, we are developing groundbreaking solutions in healthcare, with a roadmap full of innovations in bioinformatics, AI, and drug development. We invite you to join our lean, talented team and contribute to our vision.Probably Genetic has secured multiple funding rounds from top-tier Silicon Valley investors, including Threshold, Khosla, and Y Combinator. We offer competitive salaries, comprehensive benefits, and meaningful equity opportunities for early-stage team members.About the RoleWe are seeking a founding Data Engineer who is enthusiastic about shaping the future of data utilization to enhance patient outcomes. In this pivotal role, you will establish our data engineering architecture and construct the pipelines that drive internal insights and commercial data products. Your contributions will be instrumental in fostering clarity, impact, and growth throughout our organization.What You Will DoCollaborate closely with the Head of Engineering and Head of Product to transform complex data challenges into elegant, scalable solutions.Build reliable, maintainable infrastructure on AWS using Terraform to accommodate our expanding data requirements.Design data tables and pipelines tailored to the specific needs of our customers and internal teams.Implement state-of-the-art data pipelines with built-in observability from day one.Analyze and visualize data using BI tools to facilitate informed business decisions and provide customized insights to clients.Communicate your work and its impact across teams — presenting findings, receiving feedback, and continuously enhancing processes.Who You AreWe are eager to connect with candidates from diverse backgrounds who are committed to learning, growth, and making a meaningful impact. Here are a few attributes that will enable you to thrive in this role:Proficiency in data engineering principles and practices.Experience with cloud platforms, particularly AWS.Strong analytical skills and familiarity with data visualization tools.Ability to collaborate effectively in a team environment.

At Superhuman, we embrace a dynamic hybrid working model, allowing our team members to enjoy focused work time alongside in-person collaboration. This flexible approach fosters trust, innovation, and a vibrant team culture.We are seeking talented individuals based in San Francisco or Seattle for this role.About UsSuperhuman, an innovative AI productivity platform, aims to unlock the superhuman potential within everyone. We integrate AI seamlessly into the workflows of over 40 million people and 50,000 organizations worldwide, offering tools like Grammarly’s writing assistant, Coda’s collaborative workspaces, and our proactive AI assistant Go. Founded in 2009, we are committed to eliminating busywork, enabling our users to focus on what truly matters. Discover more at superhuman.com and learn about our core values here.Join Our TeamWe are on the lookout for a Senior Software Engineer to enhance our Data Enablement team and develop a world-class data platform. Your expertise will be crucial as we manage over 70 billion daily events, driving product enhancements through our systems. This role offers a unique opportunity to engage in every facet of complex software system development, from strategy formulation to architecture design and production deployment.Our engineers and researchers are encouraged to innovate and contribute to significant breakthroughs, shaping the trajectory of our product suite. As we scale our operations, we face increasingly complex technical challenges, providing fertile ground for growth and development. To gain further insights into our work, check out our technical blog.

Superhuman embraces a vibrant hybrid work model, offering team members a blend of focused work and collaborative in-person interactions that cultivate trust, innovation, and a robust company culture. Team members in this role should be located in San Francisco or New York City. About SuperhumanSuperhuman, home to Grammarly, is an innovative AI productivity platform dedicated to unlocking the extraordinary potential in everyone. Our suite of applications seamlessly integrates with over one million tools and websites, featuring Grammarly’s writing assistance, Coda’s collaborative workspaces, Mail’s inbox management, and Go, the proactive AI assistant that delivers contextual help automatically. Founded in 2009, Superhuman empowers over 40 million individuals, 50,000 organizations, and 3,000 educational institutions globally, helping them eliminate busywork and focus on what truly matters. Discover more at superhuman.com and learn about our values here.The OpportunityWe are on the lookout for a Senior Engineer to join our Data Platform team, tasked with constructing an exceptional data platform. Superhuman’s success hinges on our capacity to efficiently process 60 to 70 billion daily events, utilizing our systems to enhance our product. This role offers a unique chance to engage in all facets of developing complex software systems, including shaping strategy, defining architecture, and executing deployments to production.Our engineers and researchers enjoy the freedom to innovate and make impactful contributions to our product roadmap. As we scale our interfaces, algorithms, and infrastructure, the complexity of our technical challenges is rapidly increasing. Dive deeper into our team's insights on our technical blog.OverviewAs a Software Engineer on the Data Platform team, you will be instrumental in defining the architecture and technical strategy for our data platform, ensuring scalability, security, and efficiency across our data engineering systems. You will design and spearhead the implementation of robust, scalable, and dependable systems that manage high volumes of data, facilitating both product features and data-driven decision making across the organization. Your responsibilities will encompass areas such as real-time data processing and ETL (Extract, Transform, Load).

Position OverviewJoin OpenEvidence as a Data Infrastructure Software Engineer, where you will engineer comprehensive systems that drive essential product and research operations. Your focus will be on optimizing performance, ensuring scalability, and enhancing accuracy, while enjoying the autonomy to manage the infrastructure that assists healthcare professionals in navigating complex clinical decisions in real-time.We value exceptional creators who thrive in versatile roles. Our engineers engage across various products and projects, taking ownership wherever they can make the most significant impact.About OpenEvidenceOpenEvidence is the leading medical AI platform globally, utilized by over 40% of clinicians in the U.S. in just over a year through organic product-led growth. As a $12 billion company, our engineering team comprises 30 talented individuals from MIT, Harvard, and Stanford. We believe that groundbreaking products are born from a small group of exceptional builders, driven by focused goals and empowered to take ownership and act swiftly. We are expanding our team to capitalize on an unparalleled opportunity to set the standard for medical AI platforms.If you are a top-tier engineer or scientist eager to push the boundaries and achieve tangible outcomes that affect millions of lives, we want to connect with you.Our CultureWe expect our work to be performed at an elite level. The journey from concept to execution and scaling is akin to a professional sport, where excellence is non-negotiable. We believe that the creation of innovative technologies is only achievable through complete ownership. Significant achievements happen when individuals take the initiative to see them through.Your ProfileThis role is not for those seeking a 9-to-5 job or merely looking to write papers. If you are ready to dive into the trenches, tackle challenges head-on, and create something from scratch that could impact millions and drive substantial revenue, you might be the perfect fit.We seek brilliant builders who are intelligent, ambitious, resourceful, self-reliant, detail-oriented, driven, hardworking, and humble. Does this sound rare? It is, as we have only found 30 of them so far, and we are eager to discover more.

Founded in 2007, Airbnb has transformed the way people experience travel, connecting over 5 million hosts with more than 2 billion guests worldwide. Our platform enables unique stays and authentic experiences, fostering connections with local communities.The Team You Will Join:As a pivotal member of the Data Warehouse Infrastructure team, you will help shape the backbone of Airbnb's big data capabilities, enabling hundreds of engineers to efficiently collect, manage, and analyze vast amounts of data. We leverage cutting-edge open-source technologies such as Hadoop, Spark, Trino, Iceberg, and Airflow.Typical Responsibilities:Design and architect Airbnb's next-generation big data compute platform to enhance data ETL, analytics, and machine learning efforts.Oversee the platform's operations, focusing on improving reliability, performance, observability, and cost-effectiveness.Create high-quality, maintainable, and self-documenting code while engaging actively in code review processes.Contribute to open-source projects, making a significant impact on the industry.

At Plaid, we believe in the power of data-driven decision-making. Our data culture demands robust and scalable data systems that ensure accuracy and completeness. As a Senior Software Engineer focusing on Data Infrastructure, you will play a pivotal role in empowering teams across engineering, product, and business sectors to swiftly and securely extract valuable data insights. Your work will directly enhance our ability to serve customers effectively. You will be responsible for building and optimizing our data and machine learning infrastructure, allowing Plaid engineers to innovate and iterate on products built on consumer-permissioned financial data. Our Data Infrastructure engineers are experts in Data Warehousing, Data Lakehouse architecture, Spark, Workflow Orchestration, and Streaming technologies. You will enhance our existing data pipelines for performance and cost efficiency while creating intuitive abstractions that simplify the development process for other engineers at Plaid.

Jordan Park Group is a premier investment management firm dedicated to providing tailored financial advice to a unique clientele of individuals, families, and institutions. Our clients are distinguished leaders in business, philanthropy, government, and society. Our diverse team embodies empathy and expertise, tackling complexity and challenges to empower clients in achieving their financial aspirations.Our mission is to enhance lives and legacies through strategic financial management.Associate Software Engineer - Data PlatformSan Francisco, CaliforniaYour OpportunityWe are looking for a motivated Technology & Data Engineering Associate to elevate our data platform and enhance data quality initiatives. This role sits at the dynamic intersection of data engineering, analytics, data quality management, and AI integration.The Associate will be responsible for designing, building, and maintaining production-grade data systems, collaborating closely with executives, investment teams, operations, and client services to achieve significant business outcomes. This is a hands-on technical position that offers substantial ownership and visibility within the organization.Your RoleData PlatformDesign, build, and maintain robust SQL data pipelines (e.g., dbt + Snowflake + Python)Develop and manage orchestration workflows (Airflow or equivalent)Create data ingestion processes and API integrationsMonitor pipeline reliability and performance; proactively resolve issuesData Quality & ControlsDevelop deep expertise in the firm’s data, systems, and processesDesign reconciliation frameworks across systems and automate data validation and exception reportingPerform detailed variance analysis and root cause investigationsCollaborate with operations and finance teams to ensure reporting accuracyAnalytics & Business IntelligenceArchitect and maintain Tableau dashboards utilized across the firmTrain and support internal stakeholders on self-service analyticsPython Development & AutomationDevelop Python-based tools for API integrations, data transformations, and ad-hoc analysis