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Founding Data Engineer

Founding Data Engineer

Recruiting from ScratchSan Francisco, CA, United States
20 hours ago
Job type
  • Full-time
Job description

Who is Recruiting from Scratch :

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company's culture and vision. Our mission is simple : place the best people in the right roles to drive long-term success for both clients and candidates.

Role : Founding Data Engineer

Location : San Francisco, CA (Hybrid - 4 days / week onsite)

Company Stage of Funding : Series B

Office Type : Hybrid

Salary : $140K - $220K + Competitive Equity

Company Description

Our client is a rapidly growing AI and logistics technology company backed by top-tier investors, including a16z and Y Combinator. They're transforming a traditionally under-digitized industry by building intelligent automation systems that streamline freight and logistics operations for global enterprises.

The company recently raised a $44M Series B and is experiencing fast growth, working with major enterprise clients in logistics and supply chain management. With a team of around 60 employees, this is an opportunity to join early and play a critical role in shaping a data-driven future within an industry ripe for disruption.

What You Will Do

As the Founding Data Engineer , you'll be the first dedicated data hire-owning and building the company's entire data function from the ground up. You'll design scalable data infrastructure, pipelines, and analytics tools that empower teams to make high-impact decisions.

Key responsibilities include :

  • Designing, building, and maintaining robust ETL pipelines and data workflows.
  • Developing internal data tools and dashboards for self-service analytics across the organization.
  • Writing SQL and Python to extract, transform, and analyze large data sets.
  • Ensuring data quality, consistency, and reliability across all data systems.
  • Partnering closely with engineering, product, and business teams to translate data into actionable insights.
  • Leading data experimentation initiatives, including A / B testing and product analytics.

Ideal Candidate Background

  • 3-6 years of experience as a Data Engineer at a high-growth startup or data-intensive company.
  • Proven experience building or scaling data infrastructure through rapid company growth (e.g., Series A to C / D).
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or another quantitative discipline .
  • Deep technical expertise in Python and SQL ; experience with Airflow, PySpark, or Kafka is a plus.
  • Strong grasp of data architecture, schema design, and pipeline performance optimization.
  • Experience in high-data-volume environments such as gaming, enterprise SaaS, or marketplace platforms.
  • Excellent communication and cross-functional collaboration skills.
  • Preferred

  • Exposure to or interest in Go (Golang) .
  • Experience in or passion for the logistics, supply chain, or automation industry.
  • Previous work in AI-focused or data-first organizations (e.g., Databricks, Snowflake, New Relic).
  • Compensation, Benefits, and Other Details

  • Base Salary : $140K - $220K (depending on experience)
  • Equity : Competitive early-stage equity package
  • Work Environment : Hybrid role based in San Francisco (Dogpatch) - 4 days onsite per week
  • Visa Sponsorship : Available for most visa types (except new H1Bs)
  • Start Date : ASAP
  • This is a rare opportunity to build a data foundation from scratch , influence both product direction and technical architecture , and join a company on the verge of scaling globally.

    If you're looking for high ownership, technical challenge, and the excitement of shaping a mission-critical function in a fast-moving Series B startup - this role is for you.

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    Founding Engineer • San Francisco, CA, United States

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