Lead Data Engineer - Remote

  • Posted 5 hours ago | Updated 5 hours ago

Overview

Remote
USD 130,000.00 - 205,000.00 per year
Full Time

Skills

Decision-making
Health Care
Data Quality
Underwriting
Product Engineering
Workflow
Mentorship
Computer Science
Data Science
Scratch
Management
Python
SQL
Data Modeling
Estimating
Cloud Computing
Snow Flake Schema
Collaboration
Startups
Leadership
Genetics
Authorization
Law
LOS
Recruiting

Job Details

A16Z high-growth fintech startup is looking for a Lead Data Engineer to join their Founding Team!

This Jobot Job is hosted by: Sydney Weaver
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $130,000 - $205,000 per year

A bit about us:

A well-funded fintech startup backed by Andreessen Horowitz and other top-tier investors has raised over $10 million to revolutionize compensation solutions for modern workforces. As their first data hire, you'll have the opportunity to architect and own the data function from the ground up, directly influencing underwriting, operations, and strategic decision-making. This role is ideal for a hands-on builder eager to lead data initiatives in a fast-paced, high-ownership environment.

Why join us?
  • 100% Remote
  • Base salary plus equity
  • Excellent healthcare and employee benefits
  • WFH Stipend
  • PTO, 401K, Growth Opportunity, Great Culture, and much more!


Job Details
  • Responsibilities
  • Design and implement the company's modern data stack, including infrastructure, pipelines, and security protocols.
  • Ensure data quality and integrity across multiple sources and formats.
  • Define and monitor underwriting metrics, optimizing processes through experimentation.
  • Collaborate with Product, Engineering, and Operations teams to enhance data visibility and workflows.
  • Communicate data-driven insights to inform key business decisions.
  • Mentor future data team members and contribute to shaping a high-performing team culture.

Requirements
  • Bachelor's degree in Computer Science, Data Science, or a related technical field.
  • Minimum of 7 years of experience in data roles, with at least 2 years in a managerial capacity or leadership capacity
  • Experience building and scaling data infrastructure from scratch (able to talk through examples)
  • Proven experience managing large-scale data pipelines and integrating multiple data sources with varying cadences and formats.
  • Strong proficiency in Python and SQL for data modeling and performance estimation at scale.
  • Familiarity with cloud-based services, such as Snowflake.
  • Demonstrated ability to learn new technologies quickly and work across unfamiliar domains.
  • Startup experience, particularly in early-stage fintech environments, is a plus.
  • Founder experience is advantageous.
  • Excellent leadership presence with a long-term, business-oriented vision for data infrastructure.
  • Past experience as a Software Engineer is preferred, with strong foundational programming knowledge


Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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