Support the development and maintenance of secure, scalable data systems that enable clinical, operational, and financial analytics in a HIPAA‑regulated environment.
Contribute to building and operating data pipelines that ingest, transform, and standardize data from internal and external healthcare sources such as EHRs, claims vendors, and SDOH APIs.
Work closely with analysts and business stakeholders to understand requirements and help create reliable, analytics‑ready datasets and basic data models.
Design and implement robust, production-grade pipelines using Python, Spark SQL, and Airflow.
Lead efforts to canonicalize raw healthcare data into internal models.
Onboard new customers by integrating their raw data into internal pipelines and canonical models.
Machinify is a healthcare intelligence company delivering value, transparency, and efficiency to health plan clients. They serve over 85 health plans, including many of the top 20, representing more than 270 million lives, with an AI-powered platform and expertise.
Contribute to the technical integrity and evolution of the Data Platform tech stack.
Design and implement core features and enhancements within the Data Platform.
Build and maintain robust data extraction, loading, and transformation processes.
Dimagi is an award-winning social enterprise and certified B-corp building software solutions and providing technology consulting services to improve the quality of essential services for underserved populations. They are passionate and committed to tackling complex health and social inequities and working towards a brighter future for all.
Design and launch our first production-grade data warehouse
Implement reliable ingestion from core clinical and operational systems
Establish data quality and monitoring standards used across engineering
Zócalo Health is a tech-enabled, community-oriented primary care organization. They serve people who have historically been underserved by the one-size-fits-all healthcare system and are scaling rapidly across states and populations.
Lead development of advanced models and experimentation frameworks.
Design, build, and maintain end‑to‑end machine learning pipelines in a cloud based framework.
Develop and refine NLP pipelines to extract structured information from unstructured clinical documentation.
Emory Healthcare is an academic medical center located in Atlanta, Georgia. They are committed to providing reasonable accommodations to qualified individuals with disabilities and is an equal opportunity employer.
Drive Prompt’s mission to improve healthcare through high-quality, actionable data that informs client and internal decision-making
Own the design, development, and iteration of complex data systems — from raw data ingestion through transformation, modeling, and downstream analysis
Perform exploratory analysis and hypothesis-driven investigations to surface insights and guide both client-facing and internal decision-making
Prompt delivers highly automated B2B enterprise software to rehab therapy businesses, their teams, and patients. They've established themselves as a go-to platform and are rapidly growing their market share by delivering software people love.
Lead the development of ETL pipelines and Data Lake infrastructure.
Perform ETL and Sanitation on disparate data flows from multiple internal and external sources.
Maintain data security, quality, and performance with details documentation.
Swing Left helps people maximize their impact on competitive elections to help Democrats win. They have one million members, who have raised more than $140 million and engaged more than 50 million voters.
Design, develop, optimize, and maintain a Data Platform that enables teams to build complex batch and streaming processes.
Drive platform architecture decisions, lead design reviews, and collaborate with cross-functional partners.
Contribute to the development and optimization of Event Driven Architecture, adding new features, improving performance, and enhancing user experience
Allergan Aesthetics, an AbbVie company, develops, manufactures, and markets a portfolio of leading aesthetics brands and products. Its goal is to consistently provide customers with innovation, education, exceptional service, and a commitment to excellence, all with a personal touch.
Bridge the gap between application engineering and data infrastructure.
Own the optimization of high-volume data pipelines and tune operational databases.
Define how to ingest massive bursts of medical information, model it for transactional locking, and transform it for analytical querying.
Synthesis Health is a mission- and values-driven company with tremendous dedication to its customers. The 100% remote team is dedicated to revolutionizing healthcare through innovation, collaboration, and commitment to its core values and behaviors.
Design and implement scalable, performant data models.
Develop and optimize processes to improve the correctness of 3rd party data.
Implement data quality principles to raise the bar for reliability of data.
SmithRx is a venture-backed Health-Tech company disrupting the Pharmacy Benefit Management (PBM) sector with a next-generation drug acquisition platform. They have a mission-driven and collaborative culture that inspires employees to transform the U.S. healthcare system.
Serve as a primary advisor to identify technical improvements and automation opportunities.
Build advanced data pipelines using the medallion architecture in Snowflake.
Write advanced ETL/ELT scripts to integrate data into enterprise data stores.
Spring Venture Group is a digital direct-to-consumer sales and marketing company focused on the senior market. They have a dedicated team of licensed insurance agents and leverage technology to help seniors navigate Medicare.
Build data pipelines for coaching and user analytics.
Build data systems that power product features.
Establish our data infrastructure and architecture.
Mento is a career technology company that helps people be exceptional and thrive at work through human, AI, and software-based coaching. They strive to create a fun, conscientious, collaborative, and supportive work environment with a unique model of coaching to every member of the global workforce.
Design and build robust data pipelines that integrate data from diverse sources.
Build streaming data pipelines using Kafka and AWS services to enable real-time data processing.
Create and operate data services that make curated datasets accessible to internal teams and external partners.
Quanata aims to ensure a better world through context-based insurance solutions. It is a customer-centered team creating innovative technologies, digital products, and brands, backed by State Farm, blending Silicon Valley talent with insurer expertise.
Design, develop, and maintain dbt data models that support our healthcare analytics products.
Integrate and transform customer data to conform to our data specifications and pipelines.
Design and execute initiatives that improve data platform and pipeline automation and resilience.
SmarterDx, a Smarter Technologies company, builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, our platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Build modern, scalable data pipelines that keep the data flowing—and keep our clients happy
Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning
Unify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and more
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Build and Maintain Bronze/Silver Layer Pipelines: ensure core data sources lands accurately, on time, and with full lineage.
Lead Data Ingestion, Transformation, and Enrichment: own the end-to-end pipeline from raw file landing through cleansed, conformed staging tables, including deduplication, standardization, code mapping, and entity resolution.
Develop Automated Ingestion Pipelines: use Snowpipe, Matillion, or custom solutions with reliability, observability, and minimal manual intervention in mind.
Precision AQ is building a centralized Data Hub to consolidate fragmented data infrastructure, establish enterprise-wide data governance, and enable AI-ready analytics across our life sciences portfolio. They value innovation and a collaborative environment.
Build Production-Grade Data Systems by writing clean, modular, well-tested Python code for data pipelines and platform services.
Design and Maintain Data Models by implementing relational data models aligned with medallion architectures (bronze/silver/gold).
Implement idempotent transformation logic using SQLMesh/Tobiko (preferred) or dbt to maintain Transformation & Data Quality.
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, they focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries.
Use your healthcare knowledge to proactively identify unexpected changes in data and investigate root causes by analyzing trends and underlying factors.
Turn insights into actions, transforming your findings into clear recommendations for strategic adjustments, workflow improvements, and smarter investments.
Design, build, and own the development and communication of KPIs for the Provider Operations and Provider Performance teams.
Devoted Health is on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. Founded in 2017, they've grown fast and now serve members across the United States.
Use SQL to analyze clinical, operational, financial, and administrative data generated in Epic’s EHR.
Design, build, and maintain business intelligence dashboards and data pipelines using tools such as Power BI, SQL, and Git.
Develop rigorous data quality tests, QC best practices, code reviews / Git pull requests, and dashboard release processes.
Habitat Health envisions a world where older adults experience independent and joyful aging in their homes with access to comprehensive health care. They provide personalized clinical and social care through the Program of All-Inclusive Care for the Elderly (PACE) in collaboration with healthcare partners.
Design, build, and maintain scalable data pipelines using Microsoft Fabric and Apache Airflow
Ingest, transform, and integrate data from a variety of sources, including relational systems, APIs, and MongoDB
Design and maintain analytical data models, including fact and dimension tables, to support reporting and analytics
Theoria Medical is a comprehensive medical group and technology company dedicated to serving patients across the care continuum with an emphasis on post-acute care and primary care. Theoria serves facilities across the United States with a multitude of services to improve the quality of care delivered, refine facility processes, and enhance critical relationships.
Gather, validate, and prepare data from multiple sources.
Identify missing or inconsistent fields and partner with Operations to resolve issues.
Zócalo Health is the first tech-driven provider built specifically for Latinos, by Latinos, developing a new approach to care designed around shared and lived experiences. Founded in 2021, they are backed by leading healthcare and social impact investors.