Staff Data Analytics Engineer

• Own the architecture and reliability of data pipelines that bring complete, timely data into the warehouse.
• Build and maintain modeled, tested, documented datasets that teams can trust and safely change.
• Define and steward core business metrics and entities so important numbers have one clear, discoverable definition.
• Create and maintain stable data contracts between the warehouse and our Rails application.
• Design data quality practices that catch issues early, 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 our data function, weighing architecture and tooling decisions for maintainability, cost, scalability, and future needs.
• Write and review production-quality code, documentation, and pull requests that other engineers can safely extend.
• Use AI coding tools thoughtfully while maintaining accountability for quality, security, testing, and maintainability.
  
  

• Published datasets and metrics are trusted enough that stakeholders can act on them without maintaining competing versions.
• Core metrics have a single live definition, and documentation answers common data questions without requiring a person to interpret them every time.
• Data incidents caused by unexpected schema or dataset changes are rare, quickly detected, and leave behind stronger safeguards.
• Application engineers understand which datasets are stable interfaces they can build against and which are internal implementation details.
• Our BI and engineering teammates experience the data platform as deliberate, maintainable, and increasingly easier to work with over time.
  
  

• You’re strongest in the middle of the data stack: transforming raw data into reliable, well-modeled datasets and interfaces that others can build on.
• You have deep SQL skills and strong judgment around data modeling, testing, documentation, version control, and production data quality.
• You’ve worked with modern data and BI ecosystems and can evaluate tools based on the problem they solve rather than attachment to a particular vendor.
• You’re comfortable leading through ambiguity and can explain technical tradeoffs clearly.
• You think like a software engineer about data: code quality, maintainability, contracts, tests, incremental changes, and future maintainers all matter to you.
• You can move between technical and business conversations and translate business meaning into durable data definitions.
• You enjoy being a senior individual contributor who influences through technical judgment, collaboration, mentoring, and standards rather than people management.
• You use AI-assisted engineering intentionally without lowering the bar for what ships.
  
  

• 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 is 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.
  
  

• Work from home (we're fully remote)
• Employer-Paid Health Insurance
• Unlimited PTO (with minimums!)
• Pet Insurance
• One-week paid PTO (pre-start date)
• 401(k) Company Match
• Employer-Paid Life Insurance
• Employer-Paid Long-Term Disability Insurance
• Donation Matching
• Home Office Stipend
  
  

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information, (including family medical history), political affiliation, military service, or any other characteristic protected by law.

To request a reasonable accommodation, applicants should communicate a request when contacted for an interview. All requests should be sent to accommodations@careerplug.com.

Who We Are

CareerPlug’s purpose is to empower people to reach their potential. We do that in part by making it easier for our clients to hire and develop the right people. Our proven process allows us to work with over 60,000+ growing small businesses. Our hiring software is designed with user experience in mind: from candidates to hiring managers to business leaders.

Core Values

Be Kind

We care deeply about one another, our clients, and the world around us.

Speak Up, Step Up

We have a voice and we use it to make an impact.

Keep Growing

We embody the growth mindset.

Work Together, Win Together

We team up to achieve goals and celebrate accomplishments.

Remote First

CareerPlug is 100% remote for any US-based employee! We know the heart of our business is wherever our employees work — from our space in Austin to a home office on Lake Michigan, to an outfitted van exploring the American West (true story!).

Of course, we also crave face-to-face connection! We offer employees the opportunity to gather in-person a few times per year, with full travel expenses paid. Check out the highlight video from our CareerPlug Summit in Boulder, Colorado in July 2024.

Read our full Remote First Vision

Our Beliefs

“My humanity is bound up in yours, for we can only be human together.”

—Desmond Tutu

CareerPlug is proud to be an equal opportunity employer committed to fostering a diverse team. Our leadership takes responsibility for creating a safe and welcoming environment built on inclusion and respect for all.

Read our full DEI Statement