Founding Data Engineer

Department: Engineering, Product, and Design

Location: San Francisco

Employment Type: FullTime

Netic is the AI revenue engine for essential services who are the backbone of the American economy.

With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America. There are now companies operating entirely AI-first on Netic.

You’ll join our team with relentless builders from Scale, Databricks, HRT, Meta, MIT, Stanford, and Harvard in bringing frontier AI to the physical economy, where the problems are hard, the data is complex, and the impact is immediate and tangible.

As founding data engineer, you’ll build the foundation that powers our AI agents' decision-making. This role combines cutting-edge data infrastructure with real business impact, creating systems that transform messy real-world data into reliable intelligence for autonomous operations.

What You’ll Do:

• Unify data sources: Ingest customer interactions, CRM events, and external data into a single, schema-managed data platform.

• Build real-time pipelines: Create streaming data pipelines and low-latency materialized views that feed agents and ML features.

• Ensure data quality: Implement automated checks, lineage tracking, and alerting to maintain data integrity.

• Serve ML & analytics: Design feature stores and analytics marts that power both online inference and executive dashboards.

• Optimize at scale: Tune systems to handle terabytes of data efficiently while managing costs.

What You’ll Bring:

• Data engineering experience: 3+ years building batch and streaming pipelines in Python/Scala/Go with Spark, Flink, or Beam.

• Database expertise: Deep SQL skills and hands-on experience with modern data warehouses at scale.

• Event‑driven architecture: Production experience with streaming platforms and change-data-capture from OLTP stores.

• Infrastructure skills: Comfort with infrastructure as code, observability stacks, and cloud platforms.

• Quality rigor: Obsession with accuracy, latency, and uptime for enterprise-grade systems.

We believe fulfillment comes from producing your best work with the smartest people together in one room. All roles are in person, in SF (our office is in Jackson Square). What brings us together is our commitment to:

• Live to build

• Run through walls and win

• Obsess over customers in each line of code

• Lose sleep over the "almost perfect"

• Show internal locus of control

• Prioritize finesse: refinement of first principles thinking, execution, and craftsmanship

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.