Job Details

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.