Staff Data Analytics Engineer
virtual vocationsDenver (CO)
About the role
Owning the architecture of data pipelines, the full-time fully remote Staff Data Analytics Engineer will transform raw data into reliable datasets, define core business metrics, and collaborate with BI and product teams to ensure data integrity and usability.
Key responsibilities:
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 to ensure clear, discoverable definitions
Required qualifications:
Demonstrated experience designing and maintaining production data pipelines and transformation layers
Strong SQL and relational data modeling experience
Experience with automated testing, version control, and software engineering practices applied to analytics/data work
Experience defining or governing shared metrics and trusted datasets used across teams
Experience integrating data systems with applications, APIs, or operational workflows
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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