Senior Data Engineer - Healthcare ML on GCP

Egen; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

Retirement plans

Professional development opportunities

Job summary

Egen is seeking a Senior Data Engineer to join our Nashville team and drive ML and data engineering initiatives. You will design, develop, and deploy robust data solutions that empower data-driven decisions and improve patient outcomes.

Join a cross-functional team leveraging GCP (BigQuery, GCS, Airflow) to transform healthcare data. You will lead projects, optimize SQL, and contribute to CI/CD and Python-based ELT pipelines.

Qualifications

• 5+ years of hands-on experience as a Data Engineer or Data Architect.
• Proven track record leading technical projects and teams.
• Expert proficiency in Google Cloud Platform (GCP) tools: GCS, BigQuery, Cloud Composer/Airflow, Dataproc/Spark.
• Strong data analysis and problem-solving skills.
• Proficiency in a BI tool.
• Advanced SQL skills with tuning.
• Unix/Linux shell scripting experience.
• DBT knowledge.
• Experience with CI/CD pipelines.
• Machine Learning experience.
• Python-based ELT data pipelines.
• GCP BigQuery SQL optimization expertise.

Responsibilities

• Design, architect, and develop GCP data pipelines (ETL/ELT).
• Maintain comprehensive data asset documentation.
• Collaborate with project team to estimate and plan work.
• Attend daily standups and review business requirements with analysts to produce technical designs.
• Deliver robust data solutions to enable data-driven decisions and better patient outcomes.

Skills

SQL

Python (ELT)

CI/CD

Unix/Linux shell

DBT

Machine Learning

BI tools

Data modeling

Tools

GCS

BigQuery

Cloud Composer/Airflow

Dataproc/Spark

Job description

Egen is seeking a Senior Data Engineer to join our Nashville team and drive ML and data engineering initiatives. You will design, develop, and deploy robust data solutions that empower data-driven decisions and improve patient outcomes.

Join a cross-functional team leveraging GCP (BigQuery, GCS, Airflow) to transform healthcare data. You will lead projects, optimize SQL, and contribute to CI/CD and Python-based ELT pipelines.