Data Engineers

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San Francisco / $160000 - $190000 annum

INFO

Salary
SALARY:

$160000 - $190000

Location

LOCATION

San Francisco

Job Type
JOB TYPE

Permanent

Data Engineer

Location: San Francisco, CA Type: Full-Time | Hybrid (4-5 days onsite) Compensation: $250,000 - $350,000 OTE


The Opportunity

We are recruiting on behalf of a premier global technology investment firm with a 26-year track record of delivering market-leading returns. With over 200 employees across San Francisco, New York, and London, our client operates with a flat, entrepreneurial culture.

This is a rare opportunity to join a small, high-impact data organization as a core member. You will work directly with the Head of Data to build the firm's foundational data infrastructure from the ground up, transitioning fragmented data into a sophisticated, AI-driven investment engine. This is not a "maintenance" role; you will be building production-oriented systems that directly influence investment decisions.

Note: This role does not support sponsorships

The Mission

Your goal is to turn massive volumes of fragmented firm data-ranging from deal pipelines and board materials to alternative datasets like web traffic and labor market trends-into structured, usable systems. You will build the pipelines and architecture that enable the firm to leverage AI and automation across the entire investment lifecycle.

Key Responsibilities

  • Architect & Build: Design and maintain robust data pipelines from diverse structured and unstructured sources (CRM, emails, IC materials, third-party vendor data, etc.).

  • Infrastructure Ownership: Implement and manage a modern data stack centered around Snowflake and AWS.

  • AI Integration: Develop scalable systems that support downstream analytics and "agentic" AI workflows to automate complex investment processes.

  • Engineering Judgment: Use AI-assisted coding tools (e.g., Claude Code) to accelerate development while applying high-level engineering judgment to evaluate and refine output.

  • Cross-Functional Collaboration: Act as a technical partner to the CTO, Operating Team, and Investment Professionals, translating complex technical concepts into actionable insights.

The Tech Stack

  • Cloud/Data: AWS, Snowflake, Fivetran

  • Applications: Salesforce (transitioning to Dynamo), ChatGPT, Claude / Claude Code

  • Languages: Heavy emphasis on Python and SQL


Candidate Profile

We are looking for an entrepreneurial engineer who thrives in "Series A through C" startup environments-someone who enjoys building from 0 to 1 rather than maintaining legacy systems.

Must-Haves:

  • Experience: 2-4+ years in Data Engineering or Analytics Engineering with a focus on production-grade pipelines.

  • Technical Mastery: Strong proficiency in Python and SQL.

  • Architectural Intuition: Solid understanding of cloud data platforms (Snowflake/AWS) and data modeling.

  • Communication: Ability to engage actively with senior partners; you are a consultant and collaborator, not a "ticket taker."

Nice-to-Haves:

  • Exposure to AI/ML workflows or building feature pipelines.

  • Familiarity with financial datasets (EBITDA, market data) or vendors (Bloomberg, S&P).

  • Experience in a fast-paced startup or internal platform team.


Culture & Environment

  • In-Person Collaboration: There is a strong preference for onsite work (4-5 days per week) to facilitate mentorship and idea sharing, particularly during the first phase of the build.

  • Autonomy: The firm operates on a "trust-based" model-no rigid 9-5, but you must be comfortable interfacing with PST/SF HQ and flexing hours for urgent partner requests.

Compensation & Benefits

  • Total Cash: $250,000 - $350,000 (comprising a high $100K base + significant performance-based bonus).

  • Benefits: Comprehensive medical/dental/vision (Cigna), family planning, and wellness/gym subscriptions.

  • Time Off: Unlimited PTO policy (standard usage is ~3 weeks).

  • Retirement: 401(k) enrollment.

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