Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.
Role Summary
athenahealth is looking for a Member of Technical Staff to join the newly formed VBC Data Pipelines team. In this role, you will work with engineers who are transforming healthcare data into actionable insights that support clinicians, researchers, administrators, and care teams in delivering better care.
This position focuses on building cloud-based data pipeline solutions that ingest, cleanse, transform, and enrich data to support athena's value-based care offerings and next-generation population health workflows. The role reports to the appropriate engineering leader for the team.
Team Summary
The VBC Data Pipelines team is responsible for building efficient and resilient data pipelines that support athena's value-based care ecosystem. The team works on ingesting, cleansing, transforming, and enriching data to help unlock insights that drive action across multiple user groups, including Care Managers, Analysts, ACOs, and healthcare providers.
The team builds highly scalable cloud-based data solutions that support population health workflows and enable better use of data across athenaOne. Team members collaborate across engineering, product, analytics, and other functions to translate data needs into practical, production-ready solutions that support health outcomes and operational success.
Essential Job Responsibilities
- Design, develop, and deploy high-quality code to production as part of an Agile team of data engineers.
- Build resilient data pipeline solutions that support ingestion, cleansing, transformation, and enrichment of healthcare data.
- Develop domain knowledge and share business and technical insights with the team and broader engineering and product organizations.
- Collaborate with cross-functional team members to develop product solutions that support improved health outcomes.
- Communicate complex technical concepts clearly to technical and non-technical stakeholders.
- Work with data engineers, data scientists, analysts, software engineers, and business leaders to translate data needs into actionable solutions.
- Troubleshoot production and non-production issues and support athenaOne customers.
- Demonstrate ownership of what you and the team build and deploy in production.
- Follow the Definition of Done for each sprint, including unit tests, functional testing, code reviews, regression prevention, bug fixes, documentation, and engineering best practices.
- Use AI-assisted tools to help explore data issues, summarize pipeline behavior, and accelerate debugging or documentation while applying human judgment to validate findings and production decisions.
Additional Job Responsibilities
- Contribute to design discussions and implementation planning for new pipeline capabilities.
- Support continuous improvement of data workflows, development practices, and deployment processes.
- Participate in code reviews and technical discussions that improve solution quality.
- Assist in documenting data flows, technical decisions, and operational procedures.
- Help identify opportunities to improve performance, reliability, and maintainability.
- Collaborate with teams across geographies to support delivery and issue resolution.
- Learn healthcare and electronic health record concepts relevant to the team's work.
Expected Education & Experience
- Bachelor's degree in Computer Science, Information Systems, or an equivalent field.
- 2 to 4 years of commercial software engineering experience working with data at scale.
- Experience with one or more modern programming languages such as Java, Python, Perl, or JavaScript.
- Knowledge of Unix/Linux, SQL, NoSQL, and related tools and technologies.
- Experience delivering products using one or more cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or Snowflake.
- Knowledge of Agile SDLC practices, including unit and integration testing, design, and documentation.
- Experience with DevOps principles and CI/CD pipelines using tools such as Jenkins, git, and Bitbucket.
- Ability to write code that is technically sound, resilient, performant, scalable, and readable.
- Strong communication skills with experience working across geographies.
- Experience with healthcare or electronic health records is a plus.
