SafeLease
Insurance
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at SafeLease. Skills: Data infrastructure, Data pipelines, Backend systems, Python. Design data infrastructure. Build data infrastructure”
Industry & Context.
Data interpretation
What They're Looking For.
Must Have
3–6 years working on data infrastructure or backend systems, Python: clean, testable code, SQL: complex joins, window functions, CTEs, query optimization, Experience designing and shipping cross-system data pipelines (ETL/ELT), Comfort interpreting data
Nice to Have
Experience with dbt, Familiarity with Airflow, Prefect, or another orchestration framework, Exposure to AWS Lambda, IAM, KMS, MWAA, ECS/EKS, Background at an insurtech, proptech, or similarly regulated domain, Opinions about data modeling: star schema, OBT, normalization tradeoffs, Experience being one of the first data engineers at a company
What You'll Do.
Design data infrastructure
Build data infrastructure
Ingest data from multiple systems
Transform data using Python and SQL
Build backend structures
Expose platform data via APIs
Build monitoring frameworks
Build alerting frameworks
Build data quality frameworks
Make data architecture decisions
How You'll Work.
Team & Collaboration
Work closely with product; Work closely with frontend; Work closely with analytics; Work closely with research
Full Job Description
About SafeLease At SafeLease, we're rethinking how P&C insurance is sold in an age of technological change. We believe the industry's biggest inefficiencies aren't technical problems — they're structural ones. And we're building the team to tackle them. SafeLease is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants. Most insurance companies either distribute products or bear the risk — we do both. We back our policies with our own capital, which means we control the full stack: product design, tech, and the speed at which we move. That end-to-end ownership lets us offer customers real flexibility, saving time and money for more than 4,000 properties insured for billions in value nationwide. We're a team of 70, growing over 100% annually, and we've done it without sacrificing profitability or culture. Here, you'll get high discretion and a wide aperture of problems to solve. We embrace the newest technologies, move fast together, and operate with the intensity of a small company where every person's work is visible. If you're looking for a place to sharpen your craft alongside people who take their work seriously, you'll fit right in. ABOUT THE ROLE AS A DATA & BACKEND ENGINEER BUILDING OUR DATA PLATFORM, YOU'LL DESIGN AND BUILD OUR DATA INFRASTRUCTURE FROM THE GROUND UP: INGESTION PIPELINES THAT SPAN MULTIPLE SYSTEMS, PYTHON AND SQL TRANSFORMATIONS THAT GIVE THE WHOLE COMPANY A TRUSTWORTHY VIEW OF OUR BUSINESS, AND BACKEND STRUCTURES MAKING THAT DATA ACCESSIBLE WHERE IT'S NEEDED. YOU'LL BE A FORCE MULTIPLIER FOR EVERY TEAM AT SAFELEASE. What you'll build - End-to-end data pipelines integrating sources across our internal and external apps, 3P vendors and Saas systems - Transformations within and between infrastructure: OLTP, OLAP and S3 - Backend Python services and APIs that expose platform data to internal consumers and downstream workflows - Monitoring, alerting, and data
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