Senior Data Engineer: Build Robust Data Pipelines

Highmark Health

Salt Lake City (UT)

Hybrid

USD 103,000 - 165,000

Full time

6 days ago
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Job summary

enGen is seeking a senior data engineer to design, develop, and maintain data infrastructure, ensuring reliable movement of data across systems. You will build and optimize data pipelines, models, and warehouses, collaborating with IT, product, analytics, and business teams to deliver data solutions that meet organizational needs.

You will mentor junior engineers, monitor production schedules, enforce governance and security measures, stay ahead of industry trends, and contribute to data quality

Qualifications

  • Bachelor’s degree in a relevant field is required.
  • Minimum 5 years in data engineering, ETL, or data management roles.
  • Experience designing scalable data solutions and data warehouses.

Responsibilities

  • Design, develop, and maintain robust data processes for multi-system data movement.
  • Develop data models, databases, and warehouses to support BI and analytics.
  • Collaborate with IT, product, analytics, and business teams to gather requirements.
  • Monitor production progress and report issues to leads regularly.
  • Implement data governance, quality, and security measures.

Skills

Data pipelines
SQL
Data warehousing
Data governance
Cloud platforms
ETL development
Mentoring

Education

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

Tools

Snowflake
Redshift
BigQuery
Apache Airflow
AWS Glue
Azure Data Factory
MySQL
PostgreSQL
MongoDB

Job description

enGen is seeking a senior data engineer to design, develop, and maintain data infrastructure, ensuring reliable movement of data across systems. You will build and optimize data pipelines, models, and warehouses, collaborating with IT, product, analytics, and business teams to deliver data solutions that meet organizational needs.

You will mentor junior engineers, monitor production schedules, enforce governance and security measures, stay ahead of industry trends, and contribute to data quality

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