Senior Analytics Engineer (AI)

Location: New York City. Hybrid work model with an in-office expectation of 3–4 days per week.

Base salary: $175,000–$215,000 per year. Equity included.

Company

hirify.global is an agentic law company that develops no-code software tools and AI agents for legal and financial institutions.

What you will do

• Own analytics data products used by internal business functions, including GTM and Finance.
• Design and maintain reusable intermediate models, business-facing gold models, metrics, access controls, tests, documentation, and Lightdash agent guidance.
• Turn stakeholder ideas into production data products by defining requirements, validating results, and publishing models and metrics.
• Reconcile conflicting concepts across source systems and publish mappings, unmatched records, assumptions, and quality checks.
• Deliver SQL, dbt tests, Lightdash metadata, access rules, content validation, and AI agent instructions through the full production process.
• Diagnose incorrect or stale results, collaborate with data engineering, review modeling changes, and maintain shared standards.

Requirements

• 5+ years of analytics engineering or equivalent experience, including work on a production dbt project with tests, CI, incremental models, and documentation.
• Strong dimensional modeling judgment, including designing conformed entities and facts at the correct grain.
• Experience delivering a metrics or semantic layer with safe access controls for sensitive data.
• Regular hands-on use of AI coding agents, including verifying their output and recognizing when they are unsuitable.
• Strong SQL skills and sufficient Python experience to understand pipelines and build transformation tasks.
• Clear technical writing, with model documentation and metric definitions treated as part of the data product.

Nice to have

• Experience with Lightdash or another semantic layer managed as code.
• AWS knowledge and familiarity with Athena, Iceberg, or Spark.
• Experience with legal, private equity, or financial services data, including restricted or client-sensitive information.
• Experience setting standards or mentoring on a small team.

Culture & Benefits

• AI fluency is expected, with practical use of AI for day-to-day thinking, creation, and problem-solving.
• 401(k) with employer match and health, dental, and vision coverage.
• Unlimited paid time off and free lunch in the office daily.
• Employee referral bonus program.
• Financial relocation support for a move to New York City.