Senior Data Engineer - Healthcare Data Platform & DataOps

analyticallc; Washington (District of Columbia); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Bonuses

Employer-paid health care

Training & development funds

401(k) match

Job summary

Analytica LLC is seeking a Senior Data Engineer to design, build, and operate enterprise-grade data platforms for healthcare analytics. You will craft scalable pipelines using Databricks and cloud-native services, ensure data quality and compliance, and mentor teams.

This role demands deep DataOps expertise in regulated environments and collaboration with architects, data scientists, and stakeholders. You will drive architecture decisions, optimize storage and processing, and contribute to

Qualifications

• 8+ years of data engineering experience in large-scale enterprise environments.
• 3+ years supporting CMS or federal healthcare programs.
• Experience with DataOps and modern data engineering practices.

Responsibilities

• Design, develop, and maintain scalable batch and streaming pipelines.
• Lead DataOps processes: monitoring, testing, deployment, and CI/CD.
• Ensure compliance with CMS and federal healthcare data governance.
• Mentor engineers and drive enterprise data architecture decisions.

Skills

Cloud-native data engineering

DataOps practices

Databricks Lakehouse Platform

Apache Spark / PySpark

SQL & Python

Regulated healthcare data handling

Data quality & observability

Data architecture & leadership

Education

Bachelor's degree in CS/IS/Engineering

Tools

Databricks Lakehouse Platform

AWS or Azure cloud environments

CI/CD tooling (Git-based)

Job description

Analytica LLC is seeking a Senior Data Engineer to design, build, and operate enterprise-grade data platforms for healthcare analytics. You will craft scalable pipelines using Databricks and cloud-native services, ensure data quality and compliance, and mentor teams.

This role demands deep DataOps expertise in regulated environments and collaboration with architects, data scientists, and stakeholders. You will drive architecture decisions, optimize storage and processing, and contribute to