Senior Data Engineer — United States

About Our Client:

This organization operates in the healthcare intelligence industry, focusing on payment accuracy for health plans. It addresses the challenge of managing complex healthcare data and payment processes by delivering AI-powered software solutions that enhance transparency, efficiency, and financial outcomes for health plans. Serving over 85 health plans and covering more than 270 million lives, the organization supports a significant portion of the healthcare market.

About the Opportunity:

The SENIOR DATA ENGINEER is responsible for designing, building, and maintaining data pipelines and models critical to the organization's payer-facing products. This role ensures accurate data ingestion, modeling, quality assurance, deployment, and ongoing operations within an AI-assisted environment. The position contributes by enabling reliable data processes and integrations that support decision-making and claims payment accuracy, impacting both internal teams and clients.

Responsibilities:

• Design, build, and operate automated data pipelines for health plan data.

• Model complex healthcare data into clear, trustworthy analytical formats.

• Migrate legacy data processes into a unified platform while preserving existing logic.

• Develop and integrate tools and workflows for broader team adoption.

• Implement data quality measures and software engineering best practices including validation, automated testing, code review, and CI/CD.

• Document development work and critically evaluate AI-generated outputs.

Requirements:

• Minimum 5 years experience in data engineering with production pipeline ownership.

• Proficient in SQL and Python.

• Strong data modeling skills including canonical and dimensional design.

• Experience with dbt and workflow orchestration tools (e.g., Airflow).

• Expertise with Snowflake and/or Databricks; Spark SQL knowledge.

• Familiarity with data quality practices and CI/CD applied to data workflows.

• Ability to manage end-to-end data engineering tasks from ingestion to operations.

• Experience extending tools and building solutions used by multiple teams.

• Strong analytical skills for understanding complex data domains and verifying AI-generated code.

• Competence in leveraging AI to enhance engineering productivity and manage associated risks.

Strongly Preferred:

• Experience in payment integrity and healthcare claims data.

• Familiarity with large-scale batch file ingestion and schema management.

• Skills in automation, infrastructure-as-code, and workflow testing.

• Proficiency with Scala, AWS, BI semantic modeling, and AI engineering tools.

• Knowledge of Spark tuning, data contracts, schema governance, and HIPAA/PHI compliance.

Pay Range and Compensation Package:

• The base salary range for this role is $180,000 - $220,000.

• The salary is determined based on experience, skills, certifications, and other factors.

• Compensation includes equity, healthcare benefits, flexible time off, and additional perks.

Benefits & Perks:

• Full Medical, Dental, and Vision insurance for employees and their families.

• 401(k) plan with employer match.

• Flexible, digital-first work environment allowing work from anywhere in the US.

• Unlimited flexible time off.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

SHteX4dGSgGc is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.