Senior Data Engineer, Enrichment

Unify was founded January 17th, 2023 by Austin Hughes and Connor Heggie. Prior to Unify, Austin led Ramp’s growth product team focused on new customer acquisition, and Connor was a machine learning research engineer at Scale AI. The rest of our team comes from companies like Airbnb, Spotify, Waymo and LinkedIn.

Our mission is to build the first system-of-action for go-to-market teams, starting with an end to end platform powering warm outbound. Today, outbound sales is dominated by cold, mass outreach that floods people's inboxes and converts to deals at a tiny rate. We’re building a platform to power warm outbound, allowing go-to-market teams to get in touch with the right people at the exact time they’re looking for a solution.

We've grown revenue 8x year-over-year, and are already serving customers like Guru, Justworks, Together.AI, Flock Safety, Hightouch and more. We’re a high energy, high intensity team and we’ve raised $58M from Thrive, Emergence, OpenAI and others. Come join us in changing how go-to-market works.

Unify is building the infrastructure that powers the next generation of go-to-market. As Senior Data Engineer for Enrichment, you'll own the systems that create and maintain the largest, highest-quality first-party contact dataset in the market. You'll design the pipelines that ingest data from multiple vendors, build the intelligence that decides which sources to trust, and create the quality infrastructure that makes Unify's data a defensible competitive advantage.

• Build the enrichment platform - Design and scale pipelines that process 100M+ contact records, integrating with large-scale contact data vendors.

• Own data quality - Build deduplication, entity resolution, and record matching systems that merge contacts from multiple sources into a single high-quality record.

• Optimize vendor economics - Create waterfall enrichment logic that maximizes coverage and freshness while minimizing per-record cost across a portfolio of data vendors.

• Ship freshness infrastructure - Build systems that detect job changes, flag stale records, and trigger re-enrichment to keep the dataset current.

• Instrument and measure - Create quality scoring, coverage dashboards, and accuracy metrics that give the business visibility into dataset health.

• 5+ years of data engineering experience, including 2+ years working with contact data, enrichment systems, or data infrastructure.

• Deep experience with data vendor APIs and the economics of contact data (coverage rates, accuracy tradeoffs, cost per record).

• Expert-level SQL and data modeling skills, with experience designing schemas for large-scale entity datasets.

• Track record building production data pipelines using modern tooling (dbt, Airflow, Dagster, Spark).

• Experience with entity resolution, deduplication, and fuzzy matching at scale.

• Strong understanding of data warehousing (Snowflake, ClickHouse, BigQuery) and performance optimization.

• Business-minded: you understand that data quality directly impacts revenue and can articulate tradeoffs in terms the GTM team understands.

This a salaried position with a target range of 225,000 - $285,000 (depending on experience), equity package and comprehensive benefits (including medical, dental, vision, and 401(k) options). This position is onsite in either San Francisco, CA, or New York City, NY, offering the invaluable opportunity to work closely with a talented team in a dynamic, high-energy environment. Being in-person enables real-time collaboration, fosters creative problem-solving, and strengthens the connections that drive innovation and impact. You'll be at the center of our fast-paced operations, contributing to a culture that values engagement, growth, and teamwork.