Marathon Health is a leading advanced primary care provider, partnering with employer and union plan sponsors to improve health for millions of Americans. With nationwide onsite, nearsite, and network health centers, and virtual primary care, Marathon delivers a value-based model that enhances the healthcare experience for members and providers, while driving meaningful cost savings for plan sponsors. Marathon is proud to be certified as a Great Place to Work®, reflecting the company's commitment to building an inclusive, high-trust culture where all employees can thrive. Learn more at marathon.health
ABOUT THE JOB
The Manager of Data Engineering & Integration leads the Data Integration team responsible for the accurate, timely, and secure loading of client and vendor data—including eligibility, claims, pharmacy, lab, and related feeds—into Marathon’s data ecosystem. The successful candidate will manage a team of data integration analysts who build and operate data loads primarily through Boomi, SQL, and Python-based automation, and will serve as a key point of contact for clients, Client Success Managers (CSMs), and regional Vice Presidents and Directors regarding the onboarding, health, and quality of their data feeds. This is a highly client-focused, hands-on leadership role centered on data loading, feed monitoring, and transparency into the status of every client’s data—rather than on business intelligence or dashboard reporting.
ESSENTIAL DUTIES & RESPONSIBILITIES
- Manage and mentor a team of data integration analysts responsible for loading client and vendor data feeds into Marathon Health’s data platforms.
- Oversee the design, development, and operation of data loads and integrations, primarily using Boomi, SQL, and Python-based scripting.
- Onboard and enable new client and vendor data feeds, coordinating specifications, mapping, and testing from intake through production.
- Monitor the health and status of production data feeds, proactively identifying and resolving failures, delays, and data quality issues.
- Provide transparency into client data loads, including waterfall reporting on record counts, load status, and exceptions from source file through final load.
- Partner with Client Success Managers (CSMs), regional Vice Presidents, and Directors to communicate feed status, resolve data issues, and support client needs.
- Meet directly with clients and external data partners to discuss the structure, quality, and completeness of their data.
- Manage the creation and secure delivery of data exports and extracts to clients and vendors, ensuring accuracy and timeliness (e.g., SFTP with PGP encryption).
- Establish and maintain scheduling and automation of recurring data loads and exports (e.g., via VisualCron).
- Ensure data is loaded accurately and completely into the SQL Server EDW and Snowflake environments.
- Define and enforce data integration standards, intake specifications, and best practices across the team.
- Collaborate with Reporting, Data Engineering, and other internal teams to align data integration with downstream reporting and analytics needs.
- Track and report on team workload, service levels (SLAs), and load status within a scrum/agile team model.
- Maintain technical documentation for feeds, mappings, integration processes, and data exchange specifications.
- Leverage automation and AI-assisted tooling where appropriate to improve the efficiency, accuracy, and monitoring of data loads (e.g., anomaly detection on feeds).
QUALIFICATIONS
Bachelor’s degree in computer science, information systems, or a related field and 7+ years of experience in data integration, data engineering, ETL/ELT, or data warehousing, or equivalent combination of education and experience. 3+ years of experience in a management or team lead role, ideally leading a team of data integration or data analysts.
DESIRED ATTRIBUTES
- Strong SQL skills, including writing and optimizing complex queries and stored procedures.
- Hands-on experience with an integration / iPaaS platform such as Boomi.
- Experience with scripting and automation using Python.
- Experience with job scheduling and workflow automation tools (e.g., VisualCron).
- Experience loading and managing data in SQL Server and cloud data platforms such as Snowflake.
- Familiarity with cloud computing platforms, particularly AWS (S3, EC2).
- Experience with secure file exchange, including SFTP and PGP encryption.
- Experience producing and delivering data exports/extracts to external clients and partners.
- Familiarity with Salesforce data is a plus.
- Experience managing projects and priorities in an agile/scrum team model.
- Exposure to using AI or automation to improve data loading, monitoring, or anomaly detection is a plus.
- Strong communication skills, with the ability to explain data issues clearly to both technical and non-technical audiences, including clients, CSMs, and senior leaders.
- Client-focused mindset with a commitment to responsiveness, transparency, and service.
- Critical thinking and problem-solving skills to diagnose and resolve data and feed issues.
- Strong attention to detail and a commitment to data accuracy and completeness.
- Ability to manage time, prioritize competing demands, and meet deadlines in a fast-paced environment.
- Leadership skills, with the ability to mentor, develop, and motivate a team of analysts.
- Adaptability in response to changing client requirements and priorities.
- Strategic thinking about data integration processes, scalability, and continuous improvement.
- Willingness to stay current with new integration technologies, tools, and best practices.
- Collaborative approach to working across internal teams and with external partners.
Pay Range: $140,000 - $175,000/yr
The actual offer may vary dependent upon geographic location and the candidate’s years of experience and/or skill level. This position is also eligible for an annual incentive.
We are accepting applications for this position until a candidate has been selected. To apply to this position and learn more about open jobs at Marathon Health, visit our careers page.
