Data & Analytics Engineer
virtual vocationsDenver (CO)
About the role
To support business initiatives, the full-time remote Data & Analytics Engineer will build new data products, enhance data cataloging, and design ETL solutions while collaborating across teams using cloud technologies such as Microsoft Azure, Databricks, and Power BI.
Key responsibilities:
Build new Data and Analytics products to support business initiatives
Design, engineer, and implement ETL solutions while resolving technical issues
Participate in a collaborative environment, contributing to data standards and documentation
Required qualifications:
Bachelor's Degree in Computer Science or a related field
At least 3 years of engineering experience in a Data and Analytics function
Strong knowledge of ETL tools and BI tools, particularly Power BI
Advanced SQL programming skills
Prior programming experience in Python or Scala is a plus
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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