Senior Data Engineer, Marketing Analytics & Cloud (Remote)

Progressive Insurance; United States; Remote; USD 148,000 - 165,000; Full time

Benefits offered by this job

401(k) with company match up to 6%

Medical, dental & vision

Wellness & mental health programs

Health care flexible spending accounts

Life insurance

Paid time off

Parental & family leave

Diversity and inclusion

Tuition assistance

Onsite gym (at large locations)

Job summary

Progressive Insurance is seeking a lead data engineer on the Marketing Data Science and Engineering team to design, develop, and implement scalable data pipelines and cloud infrastructure that power marketing analytics, ML, and AI applications. You will lead engineering standards and mentor peers.

This remote US-based role requires strong AWS, Snowflake, Python, SQL, and CI/CD experience, with a track record of production-ready data platforms and collaboration with data science, governance, and

Qualifications

• Minimum Bachelor’s Degree or higher in IT or related field with at least 5 years designing, programming, and supporting software.
• In lieu of degree, at least 6 years related work experience designing, programming, and supporting software.

Responsibilities

• Lead the design, development, and implementation of scalable data pipelines and cloud infrastructure.
• Build reliable data integration frameworks and establish production-ready engineering practices.
• Mentor engineers and establish engineering standards across the team.

Skills

Python

SQL

Snowflake

Snowpipe

ETL/ELT pipelines

Data modeling

Prefect

dbt

AWS cloud

Terraform

CI/CD

GitHub Actions

Docker

Leadership

Education

Bachelor's degree or higher in Information Technology or related field

Equivalent 6 years of related work experience

Tools

Terraform

EC2

IAM

S3

ECR

Job description

Progressive Insurance is seeking a lead data engineer on the Marketing Data Science and Engineering team to design, develop, and implement scalable data pipelines and cloud infrastructure that power marketing analytics, ML, and AI applications. You will lead engineering standards and mentor peers.

This remote US-based role requires strong AWS, Snowflake, Python, SQL, and CI/CD experience, with a track record of production-ready data platforms and collaboration with data science, governance, and