Data Engineer

About the role:

We're looking for a Data Engineer to own the data that runs Higgsfield's enterprise business, from raw data to the numbers leadership makes decisions on.

You'll own data end to end, from raw data collection through transformation, modeling and validation, to the reporting that Sales, RevOps, Finance and Product use to run the business. Revenue, contracts and commissions all run through this work, so accuracy matters.

This is a hands-on role with real ownership. You'll report to our Data Engineering Lead, take on projects independently, and help make sure data is never the bottleneck as the business accelerates. We're an AI company, and we expect our data engineers to use AI to multiply what they can deliver.

What you'll do:

* Own end-to-end data pipelines, from raw data collection and transformation to modeling, validation and reporting.

* Integrate CRM, billing, contract and product usage data into a consistent, trusted view of our B2B customers.

* Build the data models and dashboards behind revenue reporting, commissions, forecasting and customer insights.

* Turn ambiguous business questions from Sales, RevOps and Finance into scoped projects, and drive them to completion.

* Close data gaps across teams, whether that means partnering with backend engineering to capture new data or fixing a broken pipeline.

* Build AI-powered workflows (agents, reusable skills, automations) that work with our infrastructure and scale your impact.

* Validate every number before it ships, with automated checks, monitoring and documentation that keep our data audit-ready.

* Build executive-facing reports and dashboards (CEO / VP level) that are easy to read and highlight what needs action

Requirements:

* 4+ years in data engineering, analytics engineering or a related role, including building and maintaining complex production pipelines.

* Hands-on experience building with AI, not just using it: for example, creating custom agents, skills or automations with tools like Claude, ChatGPT, Gemini or Cursor. You know where these tools help and where they fall short.

* Strong SQL and Python, plus experience with modern data warehouses and transformation/orchestration tools (e.g., Snowflake or BigQuery, dbt, Airflow or Dagster).

* Experience integrating data from business systems such as Salesforce, HubSpot or Stripe.

* Structured thinking: you break ambiguous problems into clear steps and solve them methodically.

* A proactive, self-directed approach. You learn fast, take ownership without waiting for instructions, and push work over the finish line.

* Clear communication, including explaining technical work and its tradeoffs to nontechnical stakeholders.

Nice to Haves:

* Experience partnering with Finance on data that demands high precision (revenue, billing, commissions).

* Early or growth-stage startup experience.

Compensation & Benefits

* We offer a competitive and thoughtfully structured compensation package designed to align with impact, experience, and long-term growth.

* Base Salary: The anticipated salary range for this role is $200,000 - $260,000, depending on experience, skills, scope, and location.

* Bonus: This role is Bonus eligible and may participate in the Company's discretionary annual bonus program.

* Equity: In addition to cash compensation, employees are eligible to participate in the company’s stock option program and share in Higgsfield’s long-term growth.

* Benefits: We offer a comprehensive benefits package designed to support employees professionally and personally, including medical, dental, and vision insurance, a competitive 401(k) retirement plan with company matching, and additional benefits and perks.

* The opportunity to work on ambitious AI products alongside a highly experienced, fast-moving, and international team.

* Significant ownership, direct impact, and opportunities for professional growth as the company scales.

This is a hybrid role based in the San Francisco Bay Area. Team members are expected to work from our San Francisco office three full days per week, with the remaining days worked remotely and are expected to be available during agreed working hours and to maintain sufficient overlap with the relevant team’s time zone. We value in-person collaboration, active communication, responsiveness, and close partnership across teams.

Higgsfield AI is an equal opportunity employer. We are committed to building a diverse and inclusive team and do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.