Data Engineer

All roles

San Francisco, CA

Data Engineer

San Francisco, CAFull-timeMid to SeniorOn-site

Zof AI is hiring for this role in San Francisco, CA. This is a full-time opportunity for candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment.

Hands-on experience building data pipelines that feed AI, ML, or eval workloads is required.

Compensation

Competitive salary

Plus meaningful equity

Apply for this role

About This Role

Zof AI is seeking a Data Engineer to build the pipelines that turn raw agent runs, test results, and remediation outcomes into data the company can trust. This role owns the data layer beneath our control plane: streaming and batch ingestion, the warehouse models that serve evals and analytics, and the quality checks and lineage that make every dataset defensible. If you have worked as an Analytics Engineer, ETL Developer, Big Data Engineer, or Data Platform Engineer, this is that discipline at Zof AI. The ideal candidate has built pipelines that other teams depend on daily and treats data quality as an engineering problem, not a cleanup task.

Responsibilities

• Design and build ingestion pipelines for agent runs, defect reproductions, and remediation outcomes.
• Model and maintain the warehouse tables that evals, analytics, and product reporting depend on.
• Build streaming and batch paths that keep data fresh without sacrificing correctness.
• Own pipeline orchestration end to end, including scheduling, dependencies, retries, and backfills.
• Wire data quality checks, tests, and alerting into every pipeline you ship.
• Track lineage so every number we report traces back to its source evidence.
• Partner with AI and product engineers to turn raw signals into datasets they can build on.
• Own the cost, performance, and reliability of the data platform in production.

Requirements

• Experience building and operating production data pipelines.
• Strong SQL and comfort modeling data in a warehouse.
• Proficiency in Python or a similar language for data work.
• Working knowledge of an orchestration tool such as Airflow, Dagster, or Prefect.
• Understanding of data quality, testing, and schema evolution.
• Judgment about freshness, cost, and correctness trade-offs.
• Clear written and verbal communication.
• High ownership of the systems you build.

Nice to have

• Experience with streaming systems such as Kafka, Kinesis, or Pub/Sub.
• Experience with dbt, Snowflake, BigQuery, Databricks, or similar tooling.
• Experience preparing datasets for evals, fine-tuning, or model training.
• Experience standing up a data platform at an early-stage company.

Data EngineeringPipelinesWarehousingStreamingData Quality

What we provide in San Francisco

• MacBook Pro
• Premium AI development tools
• Cursor Ultra
• Claude Code Ultra
• OpenAI Codex Max or equivalent advanced AI tooling
• Access to a high-performance AI product environment
• Close collaboration with leadership, engineering, and customers
• Opportunity to work in the San Francisco AI ecosystem
• Wellness and productivity support where applicable
• Competitive startup environment
• High ownership
• Direct product impact

Benefits may depend on role and final offer terms.

Apply

Apply for Data Engineer

This application is for the Data Engineer role in San Francisco, CA. Please complete every required field.

You are applying for

Data Engineer

San Francisco, CA

Company website

1

Basic information

Full name*

Email*

Phone or WhatsApp number*

Current location*

City and country

2

Professional links

LinkedIn URL*

GitHub URL*

Portfolio or personal website (optional)

Resume or CV link*

A link to Google Drive, Dropbox, LinkedIn, your website, or a PDF

3

Role-specific background

Years of experience*

Strongest programming languages

Best project link (optional)

AI tools you use

Comfort with frontend

Select a levelBeginnerIntermediateAdvancedExpert

Comfort with backend

Select a levelBeginnerIntermediateAdvancedExpert

Comfort with databases

Select a levelBeginnerIntermediateAdvancedExpert

Comfort with AI coding tools

Select a levelBeginnerIntermediateAdvancedExpert

Systems or products you have worked on

0/3000

4

Location fit

Are you able to work from or relocate to the San Francisco area for this role?*

Select an answerYesOpen to it, with details belowNo

Earliest start date or availability*

Relocation or work authorization note (optional)

5

Written responses

Why are you interested in Zof AI?*

0/3000

Why are you interested in this location?*

0/3000

What is the strongest evidence that you would succeed in this role?*

0/3000

What is the hardest thing you have built, sold, owned, or led?*

0/3000

How do you currently use AI tools in your work?*

For example, describe a project where you used AI tools to build faster, improve quality, or solve a difficult technical problem.

0/3000

How did you hear about us? (optional)

Education (optional)

Anything else you would like us to know? (optional)

0/3000

6

Final confirmation

I understand this is a location-based role and have reviewed the location requirements.*

I confirm that the information I have provided is accurate.*

By submitting, you agree that Zof AI may store and review your application for hiring purposes.

Related roles

Accra, GhanaFull-timeMid to SeniorOn-site

Data Engineer

Zof AI is seeking a Data Engineer to build the pipelines that turn raw agent runs, test results, and remediation outcomes into data the company can trust. This role owns the data layer beneath our control plane: streaming and batch ingestion, the warehouse models that serve evals and analytics, and the quality checks and lineage that make every dataset defensible. If you have worked as an Analytics Engineer, ETL Developer, Big Data Engineer, or Data Platform Engineer, this is that discipline at Zof AI. The ideal candidate has built pipelines that other teams depend on daily and treats data quality as an engineering problem, not a cleanup task.

GHS 7,000-14,000 / month

Data EngineeringPipelinesWarehousingStreamingData Quality

View roleApply