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Lead Data Engineer

Trust & Will
Remote (United States), United StatesRemotefull_timeVerifiedPosted 18 Jun 2025
💰 $215,000/yr($166,000/yr – $215,000/yr)

About the role

  • We’re on a mission to help every family leave their legacy with a fast, easy, and secure way to create, manage, and distribute their estate plan online. Since 2017, we’ve helped hundreds of thousands of families plan for their future with a streamlined and intuitive approach that makes estate planning simple, affordable, and accessible. We’re backed by leading names in venture capital including Jackson Square Ventures, Link Ventures, Revolution’s Rise of the Rest, Halogen Ventures, and more.


If you would like to join us, we are looking for a Lead Data Engineer that will work on delivering a world class data platform with a strong focus on outcomes and practical trade offs to meet

business objectives. While technical in nature this team member is expected to understand how the business works and help drive those outcomes over anything else.



About You:

  • You Excel in Python and SQL, while you are a master at system design and data modeling - you know what the difference is between a fact and a dimension. A problem-solver at heart, you focus on impactful solutions that focus on both the business and people from our customers to the folks building and supporting our product. You view AI as a seismic shift in data work, and you are prepared to harness its potential. You flourish in a fast-paced place while navigating ambiguity to deliver a cut above results.
  • You know that mentoring and collaborating pay dividends and you help your team, and others grow by communicating clearly. You are also passionate about writing maintainable, testable code and following the latest DataOps practices because you don't like getting paged in the middle of the night.
  • You have experience in SaaS, fintech, and direct-to-consumer ventures. You're skilled in dbt/sqlmesh and have used Snowflake, Databricks, and BigQuery like a pro. After all, SQL is SQL. You believe icebergs are great for cooling the planet, but they also make a good table. You enjoy using statistics to solve real business problems. Most importantly, you are dedicated to projects that create positive change for others.

About the Role:

  • This role is part of our Data engineering function and will work cross-functionally to support teams across the company to create state of the art data-driven insights and reporting foundations. You'll partner with teams to structure the system and empower the teams. You will work closely with engineering, analytic, and AI teams.

Qualifications

  • 4-7+ years of experience
  • Experience with shipping to production and on-call work
  • Well-versed in test-driven development and deployment
  • Deep understanding and supporting business needs/strategies required to build products
  • Strong python and SQL skills - from decorators to CTE’s
  • Proven ability to mentor data engineers, align technical solutions with business goals, and influence cross-functional teams.
  • Skilled in test-driven development, CI/CD pipelines, and modern DevOps best practices


Bonus Points for: 

  • Experience working in a tech company and/or high-growth startup
  • If you have some Go experience, great.
  • Strong data modeling skills - activitySchema, Star Schema and, when you should use a SCD.
  • Highly organized, with a strong level of communication
  • Experience integrating AI-assisted workflows effectively into complex engineering tasks.
  • Contributions to open-source projects or active participation in developer communities.


Employee Benefits & Perks:

  • Compensation: Salary + Equity
    • Our salary range for this position is [$166k- $215k], in addition to compensation we also include an employee equity package as a component of our offer along with other benefits and perks outlined below. 
  • PTO
    • Unlimited time off that you are encouraged to use
    • Quarterly company-wide breaks (think Winter, Spring, Summer, and Fall break)
    • Month

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Company

Trust & Will

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