Principal Data Engineer AI

job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.

Qualifications Bachelor's degree in Computer Science , Information Technology or equivalent work experience. 12+ years of working knowledge of big data and cloud technologies, with primary depth in AWS (e.g., S3, Glue, Lambda, IAM, KMS, CloudTrail, EMR); working knowledge of GCP and Databricks a plus. Experience in implementing production data pipelines using SQL, Spark, and Python, with expertise in orchestration tools such as Airflow or Databricks Workflows.

Experience or advanced familiarity dealing with Machine learning handoffs with Data engineering processes Experienced leveraging AI for enhancing engineering productivity with tools like Claude Code, CoPilot, MCP capabilities etc. 12+ years of data engineering experience, with strong exposure to healthcare data including enrollment, medical claims, and/or pharmacy claims .

AWS, GCP, or Databricks certifications a plus . Clinical healthcare background-familiarity with clinical documentation, medical coding, and healthcare entities from a clinical perspective-is a strong plus. Experience with healthcare data interoperability standards (e.g., HL7, FHIR, C-CDA) and clinical terminologies (e.g., ICD-10, SNOMED CT, LOINC, RxNorm ) is a strong plus.

Experience building or maintaining knowledge graphs, clinical data models, or NLP-driven data pipelines is a plus. Experience with MLOps tooling and handling PHI in HIPAA-regulated environments is a strong plus. Deep data modeling expertise across relational, graph, and document paradigms.

Proven ability to communicate technical architecture and trade-offs clearly to executive stakeholders, engineering peers, and clinical subject matter experts . Deep experience building and operating data systems in regulated environments (healthcare, financial services, or similar), including audit trail design, compliance-grade change management, and formal validation processes.

Demonstrated experience mentoring senior engineers and shaping technical direction at organizational scale. Cognitive/Mental

Requirements: Communicating with others to exchange information. Problem-solving and thinking critically. Completing tasks independently.

Interpreting data. Making timely decisions in the context of a workflow. Maintaining focus.

Assessing the accuracy, neatness and thoroughness of the work assigned. Applying established protocols in a timely manner Working Conditions and Physical

Requirements: Remaining in a stationary position, often standing or sitting for prolonged periods. Repeating motions that may include the wrists, hands and/or fingers. Must be able to provide a dedicated, secure work area.

Must be able to provide high-speed internet access / connectivity and office setup and maintenance. No adverse environmental conditions expected. Base compensation ranges from $175,000 to $205,000 per year.

Specific offers are determined by various factors, such as experience, education, skills, certifications, and other business needs. This role is eligible for discretionary bonus consideration. Cotiviti offers team members a competitive benefits package to address a wide range of personal and family needs, including medical, dental, vision, disability, and life insurance coverage, 401(k) savings plans, paid family leave, 9 paid holidays per year, and 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti.

For information about our benefits package, please refer to our Careers page. Since this job will be based remotely, all interviews will be conducted virtually. Date of posting: 7/24/2026 Applications are assessed on a rolling basis.

We anticipate that the application window will close on 09/24/2026, but the application window may change depending on the volume of applications received or close immediately if a qualified candidate is selected. Options Apply for this job online Apply Share Email this job to a friend Refer Sorry the Share function is not working properly at this moment.

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