
Manager, Data Engineering (Healthcare Claims)
Hybrid, NYJob$135–194K/yrSeen todaySeen in employer's feed today
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Job overview
The Manager, Data Engineering leads delivery of data capabilities, mentors a multidisciplinary team, and partners with IT and governance to build scalable, secure AWS‑based solutions. Responsibilities include translating business needs into features, communicating status and risks, supporting incident triage, modernizing pipelines, and championing data quality for regulatory reporting in the healthcare claims domain.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Key Responsibilities
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Lead delivery execution for assigned data capabilities, ensuring alignment to priorities, timelines, and quality expectations set by product and platform leadership.
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Manage and mentor a multidisciplinary team (onshore/nearshore/offshore as applicable), fostering collaboration, accountability, and continuous improvement.
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Partner with IT, architecture, and governance to implement scalable, secure, and compliant data solutions leveraging AWS services (e.g., S3, Glue, Lambda, Redshift, Athena).
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Translate business requirements into actionable features and user stories; support backlog readiness through refinement, estimation, dependency tracking, and acceptance criteria.
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Support stakeholder communication by providing clear status, risks, tradeoffs, and delivery transparency; escalate issues and decisions when needed.
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Participate in incident triage and production support for assigned data assets, helping drive root cause analysis, corrective actions, and prevention measures.
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Promote modernization and standardization by adopting reusable patterns, metadata-driven approaches, and improved pipeline reliability (including transition away from legacy tools where applicable).
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Champion data quality practices (validation, monitoring, lineage awareness, and documentation) to support regulatory reporting and analytics confidence.
Minimum Qualifications
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Bachelors degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
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5+ years of experience in data engineering, systems analysis, BI/data platforms, or technical delivery roles supporting large-scale data environments.
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2+ years of experience leading or coordinating Agile delivery (team lead, delivery lead, scrum/iteration leadership, or engineering management).
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Working knowledge of AWS data services (e.g., S3, Glue, Lambda, Redshift, Athena) and modern ETL/ELT concepts.
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Working knowledge of Data/BI applications such as Alteryx, Tableau, and SQL tools.
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Strong SQL and data troubleshooting skills with the ability to validate logic, investigate defects, and support data integrity.
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Strong communication skills and ability to work across technical and business partners to clarify needs and deliver outcomes.
Preferred Qualifications
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Experience in healthcare insurance, provider, claims, or regulatory reporting data domains.
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Experience supporting cloud migration and data modernization initiatives (including decommissioning or reducing dependency on legacy ETL tools).
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Certifications such as CSM, PMP, or AWS (nice to have).
Hiring Range*:
Greater New York City Area (NY, NJ, CT residents): $134,600 - $194,480
All Other Locations (within approved locations): $119,600 - $177,905
As a candidate for this position, your salary and related elements of compensation will be contingent upon your work experience, education, licenses and certifications, and any other factors Healthfirst deems pertinent to the hiring decision.
In addition to your salary, Healthfirst offers employees a full range of benefits such as, medical, dental and vision coverage, incentive and recognition programs, life insurance, and 401k contributions (all benefits are subject to eligibility requirements). Healthfirst believes in providing a competitive compensation and benefits package wherever its employees work and live.
*The hiring range is defined as the lowest and highest salaries that Healthfirst in “good faith” would pay to a new hire, or for a job promotion, or transfer into this role.
WE ARE AN EQUAL OPPORTUNITY EMPLOYER. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, gender identity, sexual orientation, national origin, age, genetic information, military or veteran status, marital status, mental or physical disability or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
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