Staff Data Engineer (Identity Data)

Location: Remote within the United States; candidates must be able to work East Coast hours. Employees must reside in one of the following states or Washington, DC: CA, CO, CT, FL, ID, IL, LA, MA, MD, NC, NH, NJ, NV, NY, PA, RI, SC, TN, TX, UT, VA, WA, WI.

Annual base salary: $175,000–$210,000, depending on experience. Performance-based bonus and company equity are also offered.

Company

hirify.global is a data and insights-as-a-service company providing real-time, transaction-based intelligence for the consumer, B2B, healthcare, investment, and brand markets.

What you will do

• Set the technical direction for identity and audience data in data products.
• Design identity data models and matching logic, keeping data accurate, auditable, and current.
• Build and maintain identifier mappings with external partners and report match quality and coverage.
• Build and operate production pipelines supporting data products and billions of rows.
• Implement consent, opt-out, deletion, and access controls with legal and security partners.
• Define data quality frameworks, monitoring, anomaly detection, design reviews, build-versus-buy decisions, and mentoring practices; develop AI agent harnesses, shared skills, and shipping guardrails.

Requirements

• 8+ years of experience in data engineering or backend data systems, including production pipelines handling high-volume data.
• Experience with ad tech or martech identity and audience data, identity resolution or match tables, common ad tech identifiers, and advertising data.
• Expert SQL and Python skills, with deep BigQuery or Snowflake experience and a modern stack such as dbt and Airflow.
• Experience setting technical direction across teams and communicating clearly with engineers and business leaders.
• Comfort using AI coding tools such as Claude Code, Cursor, or Codex as part of everyday work.

Nice to have

• Data clean room experience.
• Streaming pipelines with Kafka or Pub/Sub.
• Experience building AI developer tooling such as agent harnesses, MCP servers, evals, or CI guardrails.
• Background in ad tech, martech, or consumer data products.
• Experience with privacy and governance, including consent, opt-outs, deletion, and state privacy laws.

Culture & Benefits

• High-performance environment focused on data-driven decision-making for investors and brands.
• Opportunity to influence international scaling and a growing market.
• 401(k) matching, subsidized health benefits, paid parental leave, flexible and generous time off, and work-from-home flexibility.
• Performance-based bonus and company equity.