Remote Data Engineer: Pipelines & Governance

Progressive Insurance

United States

Remote

USD 98,000 - 109,000

Full time

14 days+

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Benefits offered by this job

401(k) match
Medical, dental & vision
Wellness programs
Paid time off
Parental leave
Tuition assistance
Onsite gym

Job summary

Progressive Insurance is seeking an intermediate data engineer to join the IT Data Management Team. You’ll work with data engineers, BI developers, and data analysts to optimize data, expand pipelines, and automate orchestration, enabling faster insights and governance across disparate data sources.

The position is remote for US-based work, with a focus on scalable data ingestion and transformation, industry trend research, and strategic technical recommendations.

Qualifications

  • Bachelor’s Degree or higher in an Information Technology discipline or related field of study and minimum of one year of work experience designing, programming, and supporting software programs or applications.
  • In lieu of degree, minimum of two years related work experience designing, programming, and supporting software programs or applications may be accepted.

Responsibilities

  • Design, code, test and optimize data pipelines to support data-driven insights.
  • Automate data orchestration and reduce manual data preparation to speed time-to-insights.
  • Centralize disparate data sources to strengthen data governance and eliminate data silos.
  • Manage data ingestion and transformation jobs as data volumes grow.
  • Research industry trends and implement new techniques to advance data strategy.

Skills

Python
R
SQL
Snowflake
SSIS
Prefect
DBT
Airflow
Power Automate/Power Apps
Orchestration tools

Education

Bachelor's degree in IT or related field

Tools

Jenkins/Azure DevOps
Unix shell scripting
AWS S3

Job description

Progressive Insurance is seeking an intermediate data engineer to join the IT Data Management Team. You’ll work with data engineers, BI developers, and data analysts to optimize data, expand pipelines, and automate orchestration, enabling faster insights and governance across disparate data sources.

The position is remote for US-based work, with a focus on scalable data ingestion and transformation, industry trend research, and strategic technical recommendations.

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