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.
Habitat Health provides personalized, coordinated clinical and social care as well as health plan coverage through the Program of All-Inclusive Care for the Elderly (“PACE”) in collaboration with healthcare partners, including Kaiser Permanente. They aim to enable older adults to experience an independent and joyful aging journey, and are growing to support this mission.
Design, build, and optimize scalable data architectures that power marketing analytics and survey measurement initiatives.
Deliver automated, high-impact data solutions and insights that enhance decision-making across teams.
Build robust pipelines, dashboards, and analytical frameworks in fast-paced environments.
ItD is a consulting and software development company that blends diversity, innovation, and integrity with real business results. They reject any strong hierarchy, empowering teams to deliver excellent results in a woman- and minority-led firm.
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.
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.
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.
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.
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.
Design, develop, and optimize EDP data pipelines using Python, Airflow, DBT, and Snowflake for scalable financial data processing.
Build performant Snowflake data models and DBT transformations following best practices, standards, and documentation guidelines.
Own ingestion, orchestration, monitoring, and SLA-driven workflows; proactively troubleshoot failures and improve reliability.
Miratech is a global IT services and consulting company that brings together enterprise and start-up innovation, supporting digital transformation for some of the world's largest enterprises. They retain nearly 1000 full-time professionals, and their culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed.
Architect and develop cloud-native data platforms, focusing on modern data warehousing, transformation, and orchestration frameworks.
Design scalable data pipelines and models, ensure data quality and observability, and contribute to backend services and infrastructure supporting data-driven features.
Collaborate across multiple teams, influence architectural decisions, mentor engineers, and implement best practices for CI/CD and pipeline delivery.
Jobgether uses an AI-powered matching process to ensure applications are 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.
Design, develop, and optimize data architecture and pipelines aligned with ETL/ELT principles.
Architect workflows using DBT to convert raw data into actionable analytics.
Maintain production data pipelines with Python, DBT, Matillion, and Snowflake.
Jobgether is a platform that connects job seekers with partner companies. They use AI-powered matching to ensure applications are reviewed quickly and fairly.
Assemble and manage large, complex datasets that meet both non-functional and functional business requirements.
Identify, design, and implement internal process improvements to enhance scalability, optimize data delivery, and automate manual processes.
Build and maintain optimal data pipeline architecture for efficient extraction, transformation, and loading of data from various sources.
Sanford Health is one of the largest and fastest-growing not-for-profit health systems in the United States, dedicated to the work of health and healing. The organization has 53,000 employees and serves over 2 million patients across the upper Midwest.
Works as a positive team member to deliver quality applications within scope.
Leads and proactively identifies emerging technologies and promotes their usage.
Develops strategies for managing complex data sets through maintaining data standards.
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. They welcome candidates who can contribute to the excellence of their academic community.
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.
Build and maintain scalable data pipelines from ingestion through transformation and delivery.
Design, build, and maintain our data warehouse and data marts.
Partner with stakeholders to translate business needs into clean data models.
Gurobi Optimization focuses on mathematical optimization. They empower customers to expand their use of mathematical optimization technology in order to make smarter decisions and solve some of the world's toughest and most impactful business problems.
Design, build, and maintain scalable data pipelines.
Apply dimensional modeling techniques to design tables and views.
Automate manual processes to improve efficiency and speed.
The Knot Worldwide champions celebration and powers meaningful moments for millions around the world. They are a team of passionate dreamers and doers united by connection and committed to the global community, believing the best ideas come from empowered and collaborative teams.
Architect, build, and operate data infrastructure that powers Tebra’s intelligent features.
Translate business requirements into software solutions that accelerate our ability to deploy AI.
Monitor data pipelines, detect anomalies, and implement automated recovery systems.
Tebra unites Kareo and PatientPop, providing a digital backbone for practice well-being, supporting both products with a shared vision for modernized care. Over 100,000 providers trust Tebra to elevate patient experience and grow their practice, building the future of well-being with compassion and humanity.
Collaborate with analytics and finance teams to enable trusted metrics and dashboards in Looker
Design, build, and maintain scalable data pipelines using Python and dbt
Develop and optimize BigQuery data models for analytics and product use cases
UJET delivers a cloud platform that redefines customer experience with AI and a mobile-first approach. They are an innovative company committed to exceptional interactions and accelerated growth in the AI-driven world.
Lead discovery conversations to understand client goals.
Design and deliver technical roadmaps for data platform adoption.
Build modern, reliable data pipelines and ETL/ELT frameworks.
InterWorks is a tech consultancy that empowers clients with customized, collaborative solutions. They value unique contributions, and their people are the glue that holds their business together as they pursue innovation alongside people who inspire them.
Lead discovery sessions with clients and stakeholders.
Define scalable ingestion and normalization pipelines.
Develop technical specifications, data flow diagrams, and integration roadmaps.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The final decision and next steps (interviews, assessments) are managed by their internal team.