Data Engineer

About the role

This position requires working in the office 3 days per week in either New York City or Austin, TX. Applicants who are unable to work from either office location or are not willing to relocate will not be considered.

Responsibilities

• 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.
• Build end-to-end data pipelines integrating sources across our internal and external apps, 3P vendors and Saas systems.
• Transform data within and between infrastructure: OLTP, OLAP and S3.
• Develop backend Python services and APIs that expose platform data to internal consumers and downstream workflows.
• Implement monitoring, alerting, and data quality frameworks so we know when something breaks before anyone else does.
• Make data architecture decisions that will create agility and the ability to scale the business.

Requirements

• 3–6 years working on data infrastructure or backend systems in production.
• Strong Python: you write clean, testable code and know when to reach for a library vs. rolling your own.
• Strong SQL: complex joins, window functions, CTEs, and query optimization feel natural.
• Experience designing and shipping cross-system data pipelines (ETL/ELT) that are reliable in the real world.
• Comfort interpreting data - you become the expert on the data you touch.
• Collaborative instincts: you'll work closely with product, frontend, analytics, research.

Qualifications

• Nice to have: Experience with dbt for SQL-native transformation layers, 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.
• Experience being one of the first data engineers at a company.

Skills

• Experience with data engineering tools and platforms.
• Understanding of data modeling principles (star schema, OBT, normalization tradeoffs).

Benefits

SafeLease offers a competitive compensation package including a base salary of $130,000 to $225,000 depending on experience and qualifications. Other benefits include:

• Unlimited PTO
• Full health benefits
• Flexible work setups
• Competitive pay and equity
• High standards, low ego team culture

Pay

$130,000 to $225,000 base, depending on experience and qualifications.

Schedule

Office 3 days per week in either New York City or Austin, TX.