[Remote] Manager, Data Engineering and Integration

Note: The job is a remote job and is open to candidates in USA. Marathon Health is hiring a Manager of Data Engineering & Integration to lead the team responsible for securely and accurately loading client and vendor data into its data ecosystem. The role oversees data feed onboarding, integration operations, monitoring, exports, and client communication while maintaining data quality and transparency.

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)

Skills

• 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
• 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

Benefits

• This position is eligible for an annual incentive.
• Remote, United States of America

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