[Hiring] Staff Data Analytics Engineer @CareerPlug

Role Description

We turn business logic into software. This Staff Data Analytics Engineer role owns the middle of our data stack: taking raw data and turning it into modeled, tested, documented datasets that our business and product teams can build on with confidence.

You’ll be our only dedicated data engineer and the senior-most technical seat in our data function. You’ll work closely with our BI team and our tight-knit Product & Engineering function to:

• Set the patterns other analytics work operates within.
• Define what our core metrics actually mean.
• Create a stable interface between our warehouse and our Rails application.

The near-term work includes:

• Helping us evaluate and potentially lead a transition away from a proprietary BI platform.

The long-term work includes:

• Definitions, tests, contracts, pipelines, and engineering craft that make trustworthy data possible.

This is not a cloud infrastructure role. Our Platform team owns the warehouse infrastructure, scheduler, access, and related platform operations. We’re hiring for the layer above that: the data architecture, transformations, contracts, and software practices that turn infrastructure into dependable business and product data.

What you’ll do

• 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.
• Create and maintain stable data contracts between the warehouse and our Rails application.
• Design data quality practices that catch issues early.
• 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.
• Write and review production-quality code, documentation, and pull requests.
• Use AI coding tools thoughtfully while maintaining accountability for quality, security, testing, and maintainability.

How we’ll measure success

• 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.
• Data incidents caused by unexpected schema or dataset changes are rare and quickly detected.
• Application engineers understand which datasets are stable interfaces.
• Our BI and engineering teammates experience the data platform as deliberate, maintainable, and increasingly easier to work with over time.

You might be our person if…

• You’re strongest in the middle of the data stack.
• You have deep SQL skills and strong judgment around data modeling.
• You’ve worked with modern data and BI ecosystems.
• You’re comfortable leading through ambiguity.
• You think like a software engineer about data.
• You can move between technical and business conversations.
• You enjoy being a senior individual contributor.
• You use AI-assisted engineering intentionally.

Experience we’re looking for

• Demonstrated experience designing and maintaining production data pipelines.
• Strong SQL and relational data modeling experience.
• Experience with automated testing, version control, and software engineering practices.
• Experience defining or governing shared metrics.
• 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.

Benefits

• 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.

Compensation

Base salary $165,000 + bonus potential of $15,000 for a total on-target compensation of $180,000.

CareerPlug believes in equitable and transparent compensation practices. All our employees have access to what every role pays at the company. We post compensation on all our job postings. In order to ensure equity and fairness for candidates and current employees, we always lead at our best and don’t negotiate offers.

Remote-first

We’re fully remote in the U.S. Occasional travel to company/team events as needed and at least one optional in-person company event annually. This role may be filled by any U.S.-based candidate.

This is a remote position.