Design and maintain scalable ETL pipelines for large-scale data migration and integration.
Build and optimize AWS-based data lake and warehouse solutions using services like Glue, S3, and Redshift.
Develop Python scripts and database procedures to automate data processing and transformation.
Our partner is a technology company specializing in cloud data engineering and migration solutions. They operate with a high-impact engineering team and foster a culture of innovation and remote collaboration.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
Design, build, and maintain serverless data pipelines on AWS using Lambda, Glue, Athena, S3, and Step Functions to support analytics and AI.
Develop ETL/ELT workflows to ingest, cleanse, and load data from internal and third-party sources into a data lake, ensuring data quality and reliability.
Collaborate with Analytics, Data Science, and AI teams to understand data requirements and create robust data models and feature stores.
ParetoHealth is redefining how employers fund healthcare as the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, it is a rapidly growing company driven by core values such as Fire in the Belly and For the Greater Good.
Author and maintain Terraform for Snowflake resources across a multi-account, multi-region footprint.
Contribute to role-based access control, schema migration tooling, and CI/CD pipelines for data warehouse operations.
Build and operate customer-facing financial reporting APIs and PCI-scoped ETL pipelines on AWS and Snowflake.
Marqeta is a modern card issuing platform powering companies like Uber, Square, Instacart, and Klarna. They are a publicly-traded company with a focus on innovation and collaboration, offering flexible work and a range of benefits.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Own the data methodology and carry derived data points through development, QA, and production into metrics and categories.
Validate numbers using reconciliation SQL, version-over-version comparisons, and impact analysis before logic changes ship.
Turn feature requests from product and customer teams into delivered analytics by scoping, writing logic, and validating results.
Clarify partners with 60+ health systems to provide healthcare analytics and outcomes by mapping patient journeys and care economics. The company works with 300 million patient journeys and fosters a collaborative, impact-driven culture with a focus on mission and margin alignment.
Design and maintain data pipelines on AWS using Spark, Python, and SQL.
Orchestrate workflows with Airflow, containerize with Docker and ECS.
Collaborate within agile teams to deliver high-quality data solutions.
Devoteam is a leading European consulting firm focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology. With over 10,000 employees across 20 countries in Europe, the Middle East, and Africa, they foster a close-knit professional culture.
Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
Develop and optimize DynamoDB data models and indexing strategies for high throughput.
Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.
Design, develop, and maintain highly scalable backend services and robust APIs.
Define and implement robust API contracts for seamless data integration.
Troubleshoot, debug, and optimize performance of backend systems and data pipelines.
Brooklyn Health is solving the measurement problem in mental health through accurate, objective, and sensitive measurement of symptoms. They are a startup backed by leading healthcare and technology investors, building a modern technology stack for CNS clinical trials.
Consult with customers to extract, transform, and load data into the Bluesight platform.
Validate, reconcile, and analyze data from disparate systems to ensure data integrity.
Collaborate cross-functionally with implementation, product, and engineering teams to improve processes and enhance data pipelines.
Bluesight creates groundbreaking solutions that increase efficiency, safety and visibility for health systems, hospital pharmacy, and pharmaceutical manufacturers. It is a high growth healthcare information technology company with a start-up vibe and over 3,000 customers using proven solutions.
Analyze, design and develop cutting-edge software for provider data management on a new product.
Work with a global cross-functional team to build cloud-native, large-scale, scalable data pipelines.
Take full ownership of the software development lifecycle, including planning, design, development, test and deployment.
HealthEdge offers AI-powered operational infrastructure for health insurance companies. With strong market momentum and a growing number of health plans choosing them, they are investing in their people to shape the future of healthcare technology.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.
Develop and maintain software components, data processing workflows, and platform services for digital health studies.
Collaborate with Science, Data Science, and Engineering teams to translate scientific innovations into scalable platform capabilities.
Design and implement integrations for new sensors, data sources, and analytical methods in AWS cloud-native environments.
VivoSense is a science and technology company specializing in digital health technologies, including wearable sensors and mobile applications. They partner with pharmaceutical sponsors and academic groups, operating as a small collaborative team.
Design, build, and maintain scalable data pipelines and integrations across AWS and Microsoft technologies.
Develop and enhance data models and warehouse structures that support analytics, reporting, and business intelligence use cases.
Partner with engineering, product, and analytics teams to translate business needs into well-designed technical solutions.
VERSANT is a media and entertainment company that owns iconic brands across news, sports, and entertainment, including CNBC, Golf Channel, and Fandango. It operates across multiple markets with a culture emphasizing trust, teamwork, transparency, agility, and an entrepreneurial spirit.
Design, develop, and integrate AWS data, analytics, AI, and machine learning services into client applications and mission systems.
Analyze client database schemas, data flows, and data architectures to identify opportunities for AI/ML integration and automation.
Develop analytics and reporting dashboards using Amazon QuickSight to provide actionable insights to technical and leadership audiences.
Peraton is a next-generation national security company that provides mission capability integration and transformative IT solutions to government agencies and the U.S. military. The company operates across all domains and employs a large workforce dedicated to solving complex challenges for national security.
Design and implement features and services for Reveleer's platform focusing on data processing pipelines.
Write high quality, maintainable code and contribute to system reliability, performance, and security.
Collaborate with product managers, designers, and engineers to deliver agreed outcomes.
Reveleer delivers a unified platform for risk adjustment, quality improvement, clinical intelligence, and member management for health plans and provider organizations. The company is trusted by 80+ customer organizations nationwide and emphasizes transparent, human-in-the-loop AI and regulatory expertise.
Build the distributed, event-driven services that turn Cloud Custodian into a platform, including the GraphQL API and policy execution pipelines.
Design and operate systems that ensure correctness and observability while running customer governance workloads at scale across multiple clouds and regions.
Lead backend initiatives and mentor other engineers in a technical domain involving event-driven systems and relational databases.
Stacklet helps organizations with large cloud estates optimize cost, improve security, and ensure compliance by automating governance via code. Founded by the creators of CNCF's Cloud Custodian, the company supports some of the world's biggest cloud service consumers.