Lead Data Engineer

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Job Title: Lead Data Engineer
Job Type: Direct-Hire
Work Authorization: USC or GC Holders
Location: 100% Remote

Job Summary: The Lead Data Engineer is a senior-level technical leader responsible for designing, building, and optimizing scalable data pipelines and architecture. This role blends deep technical expertise and healthcare data experience to provide leadership and strategic alignment with organizational goals. The Lead Data Engineer will work on identifying the right solutions for both existing and new requirements by enhancing or converting current systems and developing new data solutions as needed. We’re looking for a candidate who is eager to learn, develop new skills, and grow within the organization.

Duties and Responsibilities

• Architect and maintain robust data infrastructure, including ETL pipelines, data lakes, and data warehouses.
• Lead the development and optimization of data pipelines for healthcare payer and clinical data.
• Ensure data quality, governance, and compliance with HIPAA and other healthcare regulations.
• Oversee system interoperability and data replication frameworks, including API integrations and cloud migration strategies.
• Mentor and guide junior and mid-level data engineers.
• Assign and manage responsibilities across multiple initiatives (e.g., healthcare data feeds, HIE feeds, data pipelines, member data hubs, AI initiatives).
• Collaborate with cross-functional teams (Clinical, Risk Adjustment, Quality, etc.) to align data solutions with care delivery models.
• Support predictive analytics, risk stratification, and member impact ability modeling.
• Drive automation and standardization of data processes to improve operational efficiency.
• Contribute to roadmap planning for data warehouse modernization and cloud enablement.
• Interpret healthcare data and translate requirements into IT solutions.
• Relate disparate data sets to extract actionable insights.
• Support business needs through ad-hoc and standardized reporting for leadership and key stakeholders.
• Troubleshoot and align reporting needs of end users with available data sets.
• Maintain the security and privacy of all organizational, patient, employee, and partner information.

Minimum Qualifications

• Bachelor’s degree in Business, Information Technology, Statistics, Mathematics, Health Sciences, or related field (or equivalent work experience).
• 5+ years of experience in data engineering, with at least 1–2 years in a leadership role.
• Preferred 3+ years of healthcare data experience with a deep understanding of healthcare data structures such as Claims, Eligibility, HIEs, and EHRs.
• Proficient in SQL, Python, ETL tools, and orchestration tools within the Microsoft stack.
• Intermediate proficiency with Microsoft Excel required.
• Strong ability to translate business needs into technical solutions.
• Highly organized with strong documentation skills.
• Effective communicator with both technical teams and leadership.
• Skilled in documentation, stakeholder engagement, and cross-departmental coordination.
• Capable of successfully balancing numerous and competing priorities.
• Passion for data and for transforming information into actionable insights.

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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.