Data Engineer

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Redwood City / $120000 - $150000 annum

INFO

Salary

SALARY:

$120000 - $150000

Location

LOCATION

Redwood City

Job Type
JOB TYPE

Permanent

Data Engineer

Location: Redwood City, CA (Hybrid - Tuesday, Wednesday, Thursday)

Salary: $120-150k base + Equity

Harnham has partnered with a Series B PropTech startup on a mission to make quality housing more affordable and accessible. Fresh off a new funding round and backed by leading investors, the company is scaling operations and entering new markets. With that growth, their data demands have outpaced the current team, and they now need a dedicated Data Engineer.

The Role

This hire will own the company's data from end to end: understanding the source systems, building and maintaining the core datasets the business trusts, and turning raw operational data into clear, decision-ready outputs. They will work closely with Finance, Operations, and leadership to keep data accessible and useful as the company grows.

Responsibilities:

  • Own the data pipelines: take responsibility for a portfolio of existing production ETL pipelines, handling daily maintenance, monitoring, and reliability so stakeholders can trust the data
  • Design and build new pipelines: architect scalable ETL/ELT workflows that ingest data from new sources and grow with increasing data volume and complexity
  • Build and own core datasets: design and maintain the sources of truth for business reporting and decision-making
  • Master the source systems: ERP, CRM, project management, and finance platforms (NetSuite, Salesforce, and similar operational tools), understanding how data maps to real business processes
  • Democratize data access: deliver well-documented, self-service-ready data products for Finance, Ops, and go-to-market teams
  • Expand analytical coverage: identify opportunities for new tables, metrics, and derived datasets that unlock insight
  • Set the standards: evolve data modeling, testing, documentation, and ownership practices from the ground up

The Ideal Candidate

  • 2-4 years as a Data Engineer, building core datasets and supporting business teams
  • Proven ETL and data pipeline ownership: experience building, maintaining, and monitoring production pipelines end to end, not just contributing to someone else's
  • Advanced SQL and strong data modeling skills, with experience designing analytical models that support real reporting and analytics use cases
  • Hands-on experience shipping scalable cloud data solutions (AWS, Databricks, dbt) across methodologies like dimensional modeling, data marts, or medallion architecture
  • Comfort tracing data through source systems and multiple layers of transformation
  • A fast learner's mindset: thrives in environments where priorities evolve and there's always a new system or domain to pick up

Bonus points for:

  • Integrating financial/ERP/CRM/payment systems (NetSuite, Salesforce, or similar)
  • Aggregating from diverse sources, including APIs, geospatial imagery, unstructured web data, and public government records
  • Exposure to feature engineering, forecasting, or AI-adjacent analytics
  • Curiosity about AI tooling. No expertise needed, just a willingness to work smarter with it

CONTACT

Joshua Poore

VP Recruiting – Data Science, ML & AI

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