Senior Data Engineer: Remote Data Pipelines & Governance

Highmark Health; Little Rock (AR); Hybrid; USD 103,000 - 165,000; Full time

Job summary

enGen seeks a senior data engineer to design, develop, and maintain robust data processes ensuring efficient data flow across systems. You will build and optimize pipelines, models, and warehouses for BI and analytics, collaborating with IT, product, analytics, and business teams to meet organizational needs.

The role emphasizes data governance, security, and quality, with mentoring responsibilities and a focus on staying current with new technologies and best practices.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field.
• Master's degree preferred.
• 5 years of experience in data engineering, ETL development, or data management.

Responsibilities

• Design, develop, and maintain robust data processes across multiple systems.
• Develop and maintain data models, databases, and data warehouses.
• Collaborate with IT, product, analytics, and business teams to gather requirements.
• Monitor production schedule and report issues to lead developers.
• Implement data governance, ensuring quality and regulatory compliance.
• Contribute to data security measures including access controls and encryption.
• Mentor junior data engineers and support skill development.
• Perform data analysis to support decision-making across departments.
• Stay current with data engineering trends and tools.

Skills

Data engineering

ETL development

SQL

Data warehousing

Mentoring

Cross-functional

Data quality

Security awareness

Education

Bachelor's degree in CS/IS/DS/CE

Master's degree (preferred)

Tools

Snowflake

Redshift

BigQuery

Airflow

AWS Glue

Azure Data Factory

Job description

enGen seeks a senior data engineer to design, develop, and maintain robust data processes ensuring efficient data flow across systems. You will build and optimize pipelines, models, and warehouses for BI and analytics, collaborating with IT, product, analytics, and business teams to meet organizational needs.

The role emphasizes data governance, security, and quality, with mentoring responsibilities and a focus on staying current with new technologies and best practices.