Lead Data Engineer

Progressive is dedicated to helping employees move forward and live fully in their careers. Your journey has already begun.

As a lead data engineer on the Marketing Data Science and Engineering team, you’ll lead the design, development, and implementation of scalable data pipelines, cloud infrastructure, and engineering solutions that support marketing analytics, machine learning, and AI applications. In this role, you’ll focus on building reliable data integration frameworks, managing cloud infrastructure, and establishing production-ready engineering practices across the team. You’ll work across the full data engineering lifecycle, from data ingestion and transformation to infrastructure provisioning, deployment, monitoring, and maintenance, while partnering closely with data scientists, data governance teams, enterprise technology teams, and marketing business partners.

You’ll provide technical leadership, establish engineering standards, and mentor other engineers to ensure scalable, secure, and maintainable solutions.

This is a remote position for US based work only.

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

• Strong expertise in AWS cloud infrastructure and Infrastructure as Code (IaC), including Terraform, EC2, IAM, S3, ECR, networking, security configurations, secrets management, and independently provisioning, managing, and troubleshooting scalable cloud environments.
• Strong hands‑on experience in data engineering and architecture, with advanced proficiency in Python, SQL, Snowflake, Snowpipe, and designing scalable ETL/ELT pipelines integrating structured and unstructured data from internal systems, external vendors, APIs, and cloud platforms.
• Experience with data transformation, orchestration, and pipeline management, including dbt, Prefect, data modeling, workflow scheduling, incremental processing, automated testing, data quality, pipeline monitoring, troubleshooting, and performance optimization.
• Hands‑on experience with Dev Ops, CI/CD, and production deployment, including Git Hub Actions, Docker, containerization, automated deployment pipelines, application integration, monitoring, and production support for machine learning, generative AI, RAG, and agentic AI applications. Experience with secure integration across Snowflake, AWS, and enterprise application hosting environments.
• Ability to provide technical leadership and establish engineering best practices, including solution architecture, code reviews, reusable engineering frameworks, data security and governance controls, cloud cost optimization, production reliability, documentation, mentoring engineers, and collaborating across data science, enterprise IT, governance, and marketing teams.

• $148,300 - $164,800/year
• Gainshare annual cash incentive payment up to 40% of your eligible earnings based on company performance

• 401(k) with dollar-for-dollar company match up to 6%
• Medical, dental & vision, including free preventative care
• Wellness & mental health programs
• Health care flexible spending accounts, health savings accounts, & life insurance
• Paid time off, including volunteer time off
• Paid & unpaid sick leave where applicable, as well as short & long-term disability
• Parental & family leave; military leave & pay
• Diverse, inclusive & welcoming culture with Employee Resource Groups
• Career development & tuition assistance
• Onsite gym & healthcare at large…