Lead Data Engineer

Do you have experience in Scalability?, This is a senior-level engineering role. Candidates must be sharp, experienced, and confident across both legacy and modern data stacks:

• Extensive experience with SSIS and understanding of package structures
• Expert-level SQL skills
• Proven track record of cloud data engineering work - migrating and transforming large-scale data in the cloud
• Proficient in dbt, including dbt seeds and modular pipeline builds

Nice-to-Have Skills

• Experience with Snowflake modeling and performance tuning
• Familiarity with AWS cloud services
• Exposure to Type 2 slowly changing dimensions
• Understanding of medallion architecture (bronze/silver/gold)

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance, * 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

You’ll be joining a newly formed team decommissioning legacy SQL-based infrastructure and rebuilding pipelines and logic on modern cloud-based platforms like Snowflake, AWS, and dbt. This is a high-impact role supporting one of Safelite’s most visible internal transformations.

Team Culture

This is a highly collaborative, fast-moving group of problem-solvers. The vibe is:

Smart, self-starting, “get sht done” kind of people.

What You’ll Do

• Evaluate and analyze SSIS packages and document existing business logic
• Rebuild and convert data pipelines using modern technologies such as dbt, Snowflake, and AWS
• Migrate data from legacy SQL clusters to scalable cloud-based infrastructure
• Collaborate with business and technical stakeholders to define, test, and deploy clean, optimized pipelines
• Participate in architectural decisions to support Safelite’s broader SV2 transformation strategy