Analytics Engineer

Location: Hybrid in Washington, D.C., Austin, Chicago, or New York.

Salary: $164,000–$180,000 in New York; $149,000–$170,000 in Austin, Chicago, or Washington, D.C.

Company

hirify.global builds technology for brick-and-mortar commerce, using data models to provide consumers with cashback and businesses with measurable profitable customers.

What you will do

• Own a scoped domain of dbt models, including design, development, testing, deployment, monitoring, and structural decisions.
• Turn ambiguous Marketing and Product requests into scoped work and communicate technical tradeoffs.
• Write design documents and decompose owned work into pieces that teammates can implement.
• Build monitoring and alerting, participate in the support rotation, debug failures, and prevent recurrence.
• Create runbooks, schema documentation, and diagrams for maintainable ownership.
• Coach earlier-career engineers through code reviews and day-to-day collaboration.

Requirements

• Around 3–5 years of experience in data or analytics engineering, or comparable experience under another title.
• Fluency in SQL, including window functions and complex joins, with attention to query performance.
• Experience owning dbt models in a version-controlled repository with conventions, tests, CI, and maintenance.
• Strong Python skills for orchestration, transformations, and testing.
• Ability to explain and apply data modeling tradeoffs, including dimensional modeling versus one big table.
• Ability to communicate technical decisions to both marketers and engineers and adapt communication to the audience.
• Experience with Snowflake or a comparable data warehouse.

Nice to have

• Marketing, growth, or lifecycle data experience, including events, attribution, experimentation, Braze, Iterable, or Segment.
• Experience with Dagster, Airflow, or another modern orchestrator.
• Experience with CI/CD for data, data governance, or cost-conscious warehouse design.
• Experience supporting ML workflows, including feature building or monitoring model inputs.
• Experience making warehouse data usable by AI tooling through semantic layers, data contracts, or documentation for agents and humans.

Culture & Benefits

• Medical, dental, and vision coverage starting on day one.
• Equity through ISOs and a 401(k) program.
• Family planning programs and paid parental leave.
• Unlimited PTO, 10 paid federal holidays, and an annual week-long Winter Break.
• Flexible work environment, wellness and mental health support, learning and development stipend, and lunch reimbursement for in-office employees.
• Transparent, inclusive workplace with employee resource groups.