Build and improve core case execution systems: Own backend development across eligibility, batching, submissions, ops workflows, and claim orchestration.
Tackle complex, data-driven backend problems: Work through decision logic and data-heavy workflows that make eligibility and batching hard.
Collaborate cross-functionally: Work closely with Integrations team, Case Strategy team, and other engineering and product partners.
Build and operate core data platform capabilities for automated provisioning, deploy pipelines, and reliability tooling.
Develop integrations with CI/CD, identity management, APIs, and event-driven systems for self-service access.
Strengthen data access and governance with RBAC, data masking, and cross-database grants.
Affirm is reinventing credit to make it more honest and friendly, offering buy now, pay later solutions without hidden fees. The company is a remote-first organization with a strong focus on employee benefits and a people-first culture.
Design, build, and maintain data pipelines that ingest and transform healthcare data through staging, transformation, and mart layers.
Write and maintain dbt models following established conventions, ensuring transformations are testable and performant.
Implement data quality tests, monitor pipeline health, and resolve data anomalies to ensure accuracy of downstream reporting.
Privia Health is a technology-driven physician enablement company that partners with medical groups and health systems to optimize practices and improve patient care. The company is led by top industry talent and uses cloud-based technology to reduce healthcare costs and improve outcomes.
Design, build, and operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases.
Develop reusable frameworks, services, and workflows to standardize how teams build and manage data pipelines and data products.
Partner with Analytics, Applied-AI, and Engineering teams to deliver platform capabilities that support business and clinical decision-making.
Omada Health is on a mission to bend the curve of chronic disease by providing a virtual-first care model that combines human-led care teams, connected devices, and AI-enabled technology. They have served over two million members and are a publicly traded company with a culture of trust, context, boldness, results, and teamwork.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Partner directly with customers to identify data challenges and design technical solutions, connecting data sources and automating workflows.
Deploy and optimize AI-powered tools and workflows for customers, educating them on prompt engineering and LLM best practices.
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden and improve platform reliability.
Standard Metrics is an AI-driven financial data platform that helps investors and portfolio companies make informed decisions with automated reporting and benchmarking tools. We are a team of optimistic product builders backed by 8VC and Spark Capital, trusted by top VC/PE firms.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Support Snowflake-to-Databricks data migration activities.
Design and implement scalable data pipelines using Snowflake, Databricks, SQL, Python, and dbt.
Optimize data workflows for performance, scalability, cost efficiency, and maintainability.
Hiflylabs is a Budapest-based company delivering Data Warehouses, Business Intelligence, and Data Analytics solutions. With over 250 employees and 10 years of experience, they serve financial, telecommunication, and energy sectors, fostering a culture of innovation and collaboration.
Design and build production data pipelines on Databricks using medallion architecture and Data Vault 2.0.
Harden curated and presentation layers to drive donor lifetime value, retention, and campaign ROI.
Build identity resolution and data observability to ensure trustworthy data for 24,000+ nonprofits and AI agents.
Bloomerang offers a giving platform and support for nonprofits to raise more and retain donors. They serve tens of thousands of nonprofits and have a culture built on core values of Simplify, Care, and Act.
Build integrations with healthcare and financial systems
Automate end-to-end data ingestion and delivery pipelines
Design high-throughput, low-latency systems where performance is a mission-critical requirement
Anomaly uses AI and healthcare transaction data to decode complex payer behavior and close the knowledge gap between providers and payers. Founded in 2020, it is a small, remote-friendly team with a hacker mindset.
Design and build scalable backend services and APIs.
Develop integrations with healthcare and financial systems.
Build reliable, observable data ingestion and processing pipelines.
This healthcare AI startup builds products that help providers navigate reimbursement landscapes using machine learning and AI. It has assembled an exceptional technical team and is fast-growing.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Design and maintain scalable batch and near real-time data pipelines in Databricks, integrating data from various sources.
Build unified customer profiles and support identity resolution, deduplication, enrichment, and Golden Record creation.
Enable CRM and marketing teams to access trusted, activation-ready customer data with minimal latency.
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. They have grown quickly in five years and are aiming for $100M in revenue, with a culture of ownership, collaboration, and growth.
Build and maintain internal tooling for the data team, including CLIs, automation scripts, and observability dashboards.
Define and manage Snowflake infrastructure as code via Terraform, ensuring performance and security.
Own data quality frameworks and CI/CD workflows for reliable data delivery across the organization.
Zensurance is an InsurTech company that provides digital-first commercial insurance solutions for Canadian businesses. They are a fast-growing company recognized for industry impact, with a collaborative and innovative culture.
Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
Drive engineering excellence through improved data quality, reliability, observability, and governance.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.
Lead design and implementation of backend services for large-scale, data-rich healthcare applications.
Drive architecture decisions for integrations with third-party data sources and APIs.
Mentor engineers and elevate engineering standards through design reviews and operational excellence.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. They are a publicly traded company (Nasdaq: OMDA) that has served over two million members and employ a virtual-first model with human-led care teams.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.
Own end-to-end technical integration design and execution for enterprise customers from pre-sales through production deployment.
Architect system designs that bridge customer IT environments with Cohere’s AI-first platform, balancing constraints with capabilities.
Produce high-quality technical artifacts including integration designs, data mappings, and operational runbooks for scalable deployments.
Cohere Health’s clinical intelligence platform delivers AI-powered solutions that streamline access to quality care by improving payer-provider collaboration and cost containment. The company handles over 12 million prior authorization requests annually, working with over 660,000 providers, and fosters a culture of empathy, candor, and inclusivity known as the Coherenauts.
Design and implement robust, scalable data ingestion and transformation pipelines using Databricks, PySpark, and distributed processing.
Implement Delta Lake principles focusing on CDC and schema evolution, and integrate data quality frameworks within CI/CD pipelines.
Develop and optimize complex SQL and Python scripts, handling diverse data sources and supporting data governance solutions.
Mobile Wave Solutions is a professional services company specializing in software development as a service. With a team of over 120 engineers, we deliver scalable, high-quality software that empowers our global clients to innovate and grow.
Support deployment of scalable infrastructure and tooling (e.g., Snowflake, dbt, AWS, Sigma) to support analytics and reporting.
Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights.
Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance.
Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. The company is backed by several venture firms and led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care.
Own the Airflow codebase end-to-end, building reusable templates and enforcing standards.
Build and extend large-scale Spark pipelines on AWS Glue and support migration to Databricks.
Drive data model improvements around commercial pharma data with focus on structure and lineage.
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, it surpassed $3B in revenue and values doing the right thing, customer success, employee success, and speed.