Staff Data Analytics Engineer

Job Description:

• Own the architecture and reliability of data pipelines bringing complete, timely data into the warehouse
• Build and maintain modeled, tested, and documented datasets
• Define and steward core business metrics and entities
• Create and maintain stable data contracts between the warehouse and Rails application
• Design data quality practices including testing, monitoring, freshness expectations, and incident follow-up
• Own and improve operational data writebacks and system-to-system syncs
• Partner with BI teammates and business stakeholders to understand the business domain behind the data
• Set technical direction for the data function and make architecture and tooling decisions
• Write and review production-quality code, documentation, and pull requests
• Evaluate and potentially lead migration away from a proprietary BI platform
• Use AI coding tools while maintaining accountability for quality, security, testing, and maintainability
• Establish dependable definitions, tests, contracts, pipelines, and engineering practices for trustworthy data

Requirements:

• Demonstrated experience designing and maintaining production data pipelines and transformation layers
• Strong SQL and relational data modeling experience
• Experience with automated testing, version control, code review, and software engineering practices applied to analytics/data work
• Experience defining or governing shared metrics, semantic concepts, or trusted datasets used across teams
• Experience integrating data systems with applications, APIs, or operational workflows
• Experience participating in or leading a BI/data tooling migration strongly preferred
• Experience with Ruby on Rails or another backend application framework is a plus
• Experience with Domo or another proprietary BI platform is helpful but not required
• Deep SQL skills and strong judgment around data modeling, testing, documentation, version control, and production data quality
• Ability to evaluate modern data and BI tools based on the problems they solve
• Ability to explain technical tradeoffs clearly and translate business meaning into durable data definitions
• Ability to use AI-assisted engineering intentionally while maintaining quality, security, testing, and maintainability
• Must be a U.S.-based candidate and legally authorized to work in the United States; sponsorship may be required according to the application form

Benefits:

• Work from home / fully remote
• Employer-paid health insurance
• Unlimited PTO (with minimums)
• Pet insurance
• One-week paid PTO before start date
• 401(k) company match
• Employer-paid life insurance
• Employer-paid long-term disability insurance
• Donation matching
• Home office stipend
• Occasional in-person company/team events with full travel expenses paid
• Opportunity to attend an optional in-person company event annually
• 12 weeks paid parental leave
• Vision and dental insurance