Senior Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in the United States.

In this role, you will help design and scale the data foundations powering advanced healthcare intelligence platforms that improve patient outcomes and operational efficiency. You will work at the intersection of data engineering, machine learning, and healthcare operations, building secure and scalable pipelines that support real-time and analytical use cases. The environment is highly collaborative, involving close partnership with product, analytics, and integrations teams. You will contribute to the ingestion and transformation of complex healthcare datasets, including EMR and claims data, while ensuring compliance with strict regulatory standards such as HIPAA. This is a high-impact position where your work directly influences how healthcare providers anticipate and resolve critical operational challenges. You will also play a key role in shaping data architecture standards and driving engineering best practices across the organization.

Accountabilities:

• Lead the design, development, and optimization of scalable data pipelines that support real-time, analytical, and machine learning-driven healthcare products
• Own the discovery, evaluation, and integration of new datasets, including EMR, FHIR-based integrations, and third-party healthcare data sources
• Build and maintain secure, high-quality, and well-documented data models that normalize complex healthcare workflows and client-specific variations
• Collaborate with cross-functional teams to translate product and analytical requirements into reliable data structures and transformation logic
• Establish and promote best practices in data engineering, including architecture design, observability, data quality, and pipeline reliability
• Partner with stakeholders to define data lifecycle management, ensuring transparency, governance, and maintainability across systems
• Support continuous improvement of data platforms to enhance scalability, performance, and cost efficiency

Requirements:

• 5+ years of experience in data engineering, including building and operating cloud-based, scalable data platforms in production environments
• Strong experience designing and implementing complex ETL/ELT pipelines and data transformation workflows
• Proficiency with modern data stack technologies (e.g., cloud platforms, distributed data systems, orchestration tools, and data warehouses)
• Strong analytical skills with the ability to interpret complex datasets, identify patterns, and troubleshoot data quality issues
• Experience working with healthcare data or other highly regulated domains (HIPAA experience strongly preferred)
• Ability to collaborate effectively with technical and non-technical stakeholders and communicate complex concepts clearly
• Experience working in ambiguous environments and independently leading end-to-end data initiatives
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)

Benefits:

• Competitive salary range of $150,000 - $180,000 USD depending on experience and location
• Equity and stock option opportunities
• Open paid time off and flexible work arrangements
• Comprehensive medical, dental, and vision insurance coverage
• Paid parental leave and family support programs
• Wellness, learning, and professional development stipends
• Employee referral bonuses and additional performance-based rewards

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?


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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.