Intermediate Data Engineer

Progressive is hiring an Intermediate Data Engineer for its IT Data Management Team in IT Control. The role focuses on optimizing data, expanding data pipeline infrastructure, automating data orchestration, and strengthening data governance to improve access to insights and support scalable growth.

Responsibilities:

• You’ll work with our Data Engineer Lead, Data Engineer, BI Developer and IT Control Data Analysts team to optimize our data and expand our data pipeline infrastructure
• You’ll help drive faster time-to-insights by automating data orchestration and reducing manual data preparation
• You’ll use your expertise to help analysts access and analyze data more quickly while eliminating data silos, unlocking data and strengthening data governance through the centralization of disparate data sources
• You’ll help position IT data for scalable growth by managing data ingestion and transformation jobs as data complexity and volumes increase
• You’ll research industry trends and Progressive enterprise-wide data and architecture capabilities, implement new techniques as needed, and provide technical recommendations to help advance our data strategy

Requirements:

• 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
• Applicants must be authorized to work for any employer in the U.S. without the need or potential need, of current or future sponsorship for employment
• Progressive does not hire candidates with (e.g., F-1 CPT, OPT, or STEM OPT, H-1B, O-1, E-3, TN) statuses for this role
• Experience with Python, R, SQL, Snowflake, SSIS, Prefect, DBT, Airflow, Power Automate/Power Apps, or similar programming and orchestration tools
• Experience with data pipelines, ETL processes, data warehouse infrastructure, and structured/unstructured data
• Familiarity with cloud services, AWS S3 concepts, external APIs, and high-volume/large dataset manipulation
• Experience with CI/CD automation, such as Jenkins or Azure DevOps, and Unix/Shell scripting
• Strong presentation, written and verbal communication, and influencing skills