Senior Data Engineer

Job Purpose

The Senior Data Engineer designs, builds, and maintains scalable data pipelines and architectures to support the Denials AI workflow under the guidance of the Team Lead, Data Management. This role ensures data is reliable, compliant with HIPAA, and optimized.

Required Hours: 9AM-5PM EST

Duties & Responsibilities

Collaborate with the Team Lead and cross-functional teams to gather and refine data requirements for Denials AI solutions

Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS)

Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning

Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures

Enforce data quality and governance standards, including HIPAA compliance for PHI handling

Conduct code reviews, share best practices, and mentor junior data engineers

Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms

Document data workflows, schemas, and operational runbooks to support team knowledge transfer

Other duties as assigned

Use, protect and disclose patients’ protected health information (PHI) only in accordance with Health Insurance Portability and Accountability Act (HIPAA) standards

Understand and comply with Information Security and HIPAA policies and procedures at all times

Limit viewing of PHI to the absolute minimum as necessary to perform assigned duties

Qualifications

Bachelor’s or master’s degree in Computer Science, Data Engineering, or related field

5+ years of hands-on experience building and operating production-grade data pipelines

Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow)

Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS)

Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch

Basic proficiency in Python and Python data frameworks (Pandas, PySpark)

Experience with version control (GitHub) and CI/CD for data projects

Familiarity with healthcare data standards and HIPAA compliance

Experience mentoring or leading small technical efforts

Proficiency in Microsoft Office Suite

Strong interpersonal skills, ability to communicate well at all levels of the organization

Strong problem solving and creative skills and the ability to exercise sound judgment and make decisions based on accurate and timely analyses

High level of integrity and dependability with a strong sense of urgency and results oriented 

Excellent written and verbal communication skills required

Working Conditions

Regular working hours; on-call for data pipeline incident response.

Must possess a smart-phone or electronic device capable of downloading applications, for multifactor authentication and security purposes. 

Physical Demands: While performing the duties of this job, the employee is occasionally required to move around the work area; Sit; perform manual tasks; operate tools and other office equipment such as computer, computer peripherals and telephones; extend arms; kneel; talk and hear.

Mental Demands: The employee must be able to follow directions, collaborate with others, and handle stress.

Work Environment: The noise level in the work environment is usually minimal.

Med-Metrix will not discriminate against any employee or applicant for employment because of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, veteran status, other non-merit based factors, or any other characteristic protected by federal, state or local law.