Alaffia Health · 14 hours ago
Sr. Data Engineer (Claims)
New York, New York, United States
Full-time
Hybrid
Senior Level
$180K/yr - $200K/yr
5+ years expAlaffia Health is a healthcare AI startup committed to revolutionizing medical billing and data automation. They are seeking a Senior Data Engineer to build advanced AI products and drive innovation in healthcare automation while ensuring security and compliance in data management and system integration.
Artificial Intelligence (AI)Health CareMachine Learning
Responsibilities
Ensure all internal and external reports are delivered on-time and with accuracy, including scheduled client deliverables and internal operational dashboards
Work closely with stakeholders to produce detailed reporting requirements, documentation, and SOPs, ensuring clarity on metric definitions and data lineage
Execute, maintain, and progressively automate manual reporting tasks, using SQL, scripting, and BI tooling to reduce operational burden
Own and enhance report-focused apps in Retool, including building new views, improving UX, and integrating with underlying data sources
Partner with data engineering to design and improve ETL/ELT workflows and data models that support scalable, performant reporting
Perform data investigations and root-cause analyses when report discrepancies, anomalies, or data quality issues occur, and drive resolution
Act as a subject matter expert on healthcare claims reporting, helping internal and external stakeholders interpret trends, metrics, and exceptions
Qualification
Required
5–10+ years in data engineering, with at least 3–5 years handling healthcare data, particularly: Payer claims, eligibility/membership, provider files, and remittances (e.g., EDI 837/835)
Understanding of payer concepts: benefit structures, adjudication logic, denials, and pricing
Deep understanding of statistical modeling, data analytics
Proficiency in data cleaning, preparation, data schema design, versioning and database management
Expert‑level SQL plus dimensional and data‑vault style modeling for analytics and downstream apps
Experience building semantic layers and standardized metrics for claims and cost/utilization reporting
Proven work with dbt or similar transformation frameworks, and orchestration tools like Airflow, Dagster, or Prefect for batch/stream pipelines
Strong Python for ETL/ELT, APIs, and data quality checks; plus familiarity with REST/JSON, FHIR, and EDI‑style feeds where relevant
Building SasS applications in the healthcare sector or other highly regulated industries
Preferred
Machine learning and deep learning concepts
Cloud warehouses and lakehouses such as Snowflake, BigQuery, Redshift, or Delta Lake; comfort with performance tuning and cost management
Experience with DevOps and cloud providers, such as AWS, Azure, and GCP
Autonomous learning, self-leadership, and the ability to own system components while collaborating with other SME's
Exceptional problem-solving skills and the ability to work in a fast-paced, evolving environment
Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders
Company
Alaffia Health
Alaffia Health is a healthtech company that uses machine learning to identify and eliminate fraud, waste, and abuse in healthcare claims.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$52.62MKey Investors
Healthworx AcceleratorFirstMarkAnthemis
2025-12-17Series Unknown· $36M
2024-09-16Series Unknown· $0.03M
2024-04-24Series A· $10M
Leadership Team
TJ Ademiluyi
CEO, Co-Founder
A
Adun Akanni
co-founder and coo
Recent News
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