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Lead Data EngineerBetter Tomorrow Ventures • New York, New York, United States
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Lead Data Engineer

Better Tomorrow Ventures
  • US
    New York, New York, United States
  • US
    New York, New York, United States
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Über

Coast is re-imagining the trillion-dollar U.S. B2B card payments infrastructure, focusing on the country’s 500,000 commercial fleets, 40 million commercial vehicles, and many millions of commercial drivers. The incumbent technologies that cater to these customers are decades old, and businesses with fleets increasingly demand modern digital experiences and transparent financial services products. Coast’s mission is to deliver this at a transformational scale, beginning with the Coast Fleet and Fuel Card built on a cutting-edge spend management platform.
About The Role We are looking for a leader of the Coast data engineering team to shape our company’s data culture and underlying infrastructure. Your work will enable the company across all functions—risk, customer acquisition, product—and you will report directly to the Head of Engineering from our NYC office.
What You’ll Do
Lead design and implementation of all aspects of our data ecosystem—from obtaining third‑party data to building our own data products, from infrastructure architecture to end‑user BI and data exploration toolchain.
Evangelize and implement best practices, from reasoning about statistical significance to granting data access via AI tools, from source control and change management to database migrations.
Establish guardrails for a self‑serve ecosystem for business users.
Help our product engineering teams evolve from treating data as exhaust to building DDD‑based data products.
Enhance our ETL/ELT patterns, from landing zone to semantic layers.
Ensure that our metrics are built on top of consistent, curated data with clear stewardship.
Oversee our connected SaaS data landscape.
Own the budget for data infrastructure and develop a sensible cost allocation model.
Safeguard our data—tokenization and access controls, retention, and backups.
Remain relentlessly pragmatic and balance the daily demands of a fast‑growing startup with the needs of a well‑managed platform.
Requirements
7‑10+ years of hands‑on experience across the data ecosystem: modern ETL/ELT, orchestration, data warehouses, columnar stores, BI tooling, and SQL optimization.
Strong software engineering mindset, applying principles of source control, infrastructure as code, testing, modularity, automation, CI/CD, and observability.
Proven ability to collaborate directly with product engineers and business users.
Proficiency in Python for platform contributions and tool development.
Capable of researching, designing, and implementing independent technical solutions with responsible change management.
Owner mindset with an emphasis on continuous improvement of the data infrastructure.
Thought‑leader who keeps abreast of vendor landscapes and industry trends.
Work from our NYC SoHo office at least four days a week.
Compensation And Benefits Our salary ranges are competitive for our size and industry: $170K‑$220K per year. Pay decisions consider scope, qualifications, experience, and skill set, balanced with internal equity. Equity grants offer meaningful upside based on Coast’s early‑stage trajectory, and the total compensation package includes benefits, signing bonus, and equity.
Benefits Overview
Medical, dental and vision insurance
Flexible paid time off (vacation, personal well‑being, paid holidays)
Financial wellness tools, including webinars, equity tax advisory services, and company‑sponsored 401(k)
Paid parental leave
$400 accessories allowance (keyboard, mouse, headphones, etc.)
Education stipend
Free lunch every Friday
Coast is committed to diversity, equity, and inclusion. We encourage people of all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, gender, sexual orientation, gender identity or expression, age, religion, disability, national origin, protected veteran status, or any other status protected under applicable federal, state, or local law.
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  • New York, New York, United States

Sprachkenntnisse

  • English
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