Analytics Engineer (AI)

Location: Remote (United States)

Company

hirify.global is a technology platform for entity compliance that helps businesses and nonprofits manage licensing, tax registration, and legal entity requirements.

What you will do

• Build and maintain clean, tested, and documented dbt models in Snowflake across staging, intermediate, and mart layers.
• Partner directly with stakeholders to clarify ambiguous requests, define meaningful problems, and explain tradeoffs.
• Create dashboards, explorations, and self-serve datasets in modern BI tools.
• Define shared metric definitions, maintain data governance, and resolve discrepancies between reported numbers.
• Implement testing, monitoring, and alerting; triage and fix data reliability issues.
• Collaborate with data engineering on ingestion, warehouse performance, cost, raw-data design, Git workflows, CI, and AI-assisted development practices.

Requirements

• 3–5 years of experience in analytics engineering, data engineering, or a similar role.
• Strong SQL skills, including fluency with CTEs and window functions and the ability to understand and improve existing queries.
• Hands-on experience with dbt and a cloud warehouse, ideally Snowflake, including data modeling patterns, testing, and documentation.
• Python experience for data work and automation.
• Experience with a modern BI tool such as Metabase, Hex, Sigma, Omni, Looker, or Tableau, with the ability to learn additional tools.
• Ability to turn vague stakeholder requests into defined problems, explain tradeoffs clearly, and challenge requests when useful.
• Curiosity about business operations and the ability to understand why data products need to be built.
• Working knowledge of metric governance, data governance, data observability, automated alerting, and lineage tracking.
• Git workflows using GitHub or GitLab; experience with AI-augmented development tools and judgment to verify their output.
• Working knowledge of lakehouse workflows, BI and visualization tools, and ELT/ETL tools such as Fivetran or Airbyte for batch use cases.
• Ability to work in a fast-moving company where processes and standards often need to be created.

Nice to have

• Experience with Airbyte or another ingestion/orchestration tool such as Airflow or Dagster.
• Experience building a semantic layer, including dbt Semantic Layer, Omni, LookML, or similar, especially one serving both people and AI agents.
• Comfort with the command line.

Culture & Benefits

• Remote work for U.S.-based candidates.
• Health benefits, flexible paid time off, parental leave, and fertility and adoption assistance may be available.
• Potential benefits include a 401(k) and educational reimbursement.
• Reasonable accommodations are available during the application and interview process.
• Automated selection tools and skills assessments are subject to human oversight, with alternative evaluation processes available where required by local law.

Hiring process

• Applications may include third-party automated tools and skills assessments, including Testlify and Rippling.
• Applicants may request reasonable accommodations or opt out of automated assessment steps where regional regulations provide that option.
• Final employment decisions are made by the Talent Success team with human oversight.