Senior Data Engineer — Build Scalable Pipelines (Remote)

Highmark Health; Austin (TX); Hybrid; USD 103,000 - 165,000; Full time

Job summary

enGen in Austin, TX is seeking a senior data engineer to design, build, and maintain scalable data pipelines and data infrastructure supporting analytics across the organization. You will work with IT, product, and analytics teams to ensure data quality, governance, and secure data movement while mentoring junior engineers.

This role emphasizes SQL, data warehousing, cloud data services, and modern ETL tooling.

Qualifications

• Bachelor’s degree required in a relevant field.
• 5 years in data engineering or ETL.
• Experience with SQL and database technologies.

Responsibilities

• Design and maintain data processes for multi-system data movement.
• Develop data models, databases, and warehouses for BI.
• Collaborate with IT, product, analytics, and business teams.
• Monitor production schedule and report issues to leads.
• Implement data governance and security measures.
• Mentor junior engineers and stay current with trends.

Skills

SQL

Data modeling

ETL development

Data warehousing

Big data concepts

Mentoring

Education

Bachelor's degree in Computer Science / Information Systems / Data Science / Computer Engineering

Master's degree

Tools

MySQL

PostgreSQL

MongoDB

Snowflake

Redshift

BigQuery

Airflow

AWS

Azure

GCP

Job description

enGen in Austin, TX is seeking a senior data engineer to design, build, and maintain scalable data pipelines and data infrastructure supporting analytics across the organization. You will work with IT, product, and analytics teams to ensure data quality, governance, and secure data movement while mentoring junior engineers.

This role emphasizes SQL, data warehousing, cloud data services, and modern ETL tooling.