Data Engineer

INFO SALARY

$160000 - $190000 LOCATION San Francisco

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. CONTACT Anthony Goodvin Sourcing Consultant