Senior Data Engineer — ML & GCP Data Pipelines

Egen; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Egen in Nashville is seeking an experienced Data Engineer to lead data pipelines and ML-enabled data solutions that improve patient outcomes and healthcare decision-making. You will design and implement GCP-based ETL/ELT, collaborate with analysts and product teams, and drive data quality, scalability, and documentation across projects to deliver measurable impact.

This role offers a collaborative, fast-paced environment with opportunities to influence data strategy and grow technical leadership

Qualifications

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

Responsibilities

• Design, architect, develop, support GCP data pipelines to extract, load, and transform data
• Maintain artifacts illustrating how information is stored, processed, and supported (documentation)
• Work with project team to estimate and plan the work effort
• Attend daily team standups
• Review business requirements with analysts and produce technical design specs

Skills

Data engineering

Project leadership

Data analysis

BI proficiency

Advanced SQL

Shell scripting

DBT

CI/CD

ML experience

Python ELT

Tools

GCS

BigQuery

Cloud Composer/Airflow

Dataproc/Spark

DBT

CI/CD

Python

BigQuery SQL

Job description

Egen in Nashville is seeking an experienced Data Engineer to lead data pipelines and ML-enabled data solutions that improve patient outcomes and healthcare decision-making. You will design and implement GCP-based ETL/ELT, collaborate with analysts and product teams, and drive data quality, scalability, and documentation across projects to deliver measurable impact.

This role offers a collaborative, fast-paced environment with opportunities to influence data strategy and grow technical leadership