Staff Data Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Take ownership of the architecture and reliability of data pipelines that deliver comprehensive, timely data to the warehouse.

• Develop and sustain modeled, tested, and well-documented datasets.

• Define and manage core business metrics and entities.

• Establish and uphold stable data contracts between the warehouse and the Rails application.

• Design data quality practices, which include testing, monitoring, freshness expectations, and follow-up on incidents.

• Oversee and enhance operational data writebacks and system-to-system synchronizations.

• Collaborate with BI colleagues and business stakeholders to grasp the business context behind the data.

• Determine the technical direction for the data function and make decisions regarding architecture and tooling.

• Write and review production-quality code, documentation, and pull requests.

• Assess and potentially lead the migration from a proprietary BI platform.

• Utilize AI coding tools while ensuring accountability for quality, security, testing, and maintainability.

• Establish reliable definitions, tests, contracts, pipelines, and engineering practices to ensure trustworthy data.

⛳️ Requirements

• Proven experience in designing and maintaining production data pipelines and transformation layers.

• Proficient in SQL and relational data modeling.

• Familiarity with automated testing, version control, code review, and software engineering practices applied to analytics/data work.

• Experience in defining or governing shared metrics, semantic concepts, or trusted datasets utilized across teams.

• Background in integrating data systems with applications, APIs, or operational workflows.

• Experience in participating in or leading a BI/data tooling migration is strongly preferred.

• Familiarity with Ruby on Rails or another backend application framework is advantageous.

• Experience with Domo or another proprietary BI platform is beneficial but not mandatory.

• Advanced SQL skills and sound judgment regarding data modeling, testing, documentation, version control, and production data quality.

• Ability to assess modern data and BI tools based on the issues they address.

• Capacity to clearly articulate technical tradeoffs and translate business implications into enduring data definitions.

• Capability to intentionally utilize AI-assisted engineering while upholding quality, security, testing, and maintainability.

• Must be a candidate based in the U.S. and legally authorized to work in the United States; sponsorship may be required based on the application form.

🏝️ Benefits

• Work from home / fully remote arrangement.

• Employer-covered health insurance.

• Unlimited paid time off (with minimum requirements).

• Pet insurance coverage.

• One week of paid PTO prior to the start date.

• 401(k) company matching.

• Employer-paid life insurance.

• Employer-paid long-term disability insurance.

• Donation matching program.

• Home office stipend.

• Occasional in-person company/team events with all travel expenses covered.

• Opportunity to participate in an optional annual in-person company event.

• 12 weeks of paid parental leave.

• Vision and dental insurance coverage.