We're looking for a high-impact Data Analytics Engineer to build scalable data models, pipelines, and insights that drive business decisions. This role involves partnering with business leaders to architect solutions end-to-end. The ideal candidate will own projects and drive outcomes independently.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Data Analytics Engineer
Denver, CO (On-site / Relocation Supported)
We’re looking for a high-impact Data Analytics Engineer who wants real ownership in their craft. This role sits at the intersection of data engineering and analytics, partnering directly with business leaders to build scalable data models, pipelines, and insights that drive decisions.
If you’re someone who understands the “why” behind the data and thrives in an environment where you can architect solutions end-to-end, this is the opportunity to make a meaningful impact.
What You’ll Do
- Own the design and development of data pipelines and ETL processes
- Build and optimize scalable data models powering reporting and analytics
- Partner cross-functionally to translate business needs into technical solutions
- Standardize data across systems (finance, CRM, marketing, etc.) into clean, usable models
- Deliver actionable insights through dashboards and reporting
- Drive data quality, governance, and best practices
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What You Bring
- 2–7 years in data analytics, analytics engineering, or similar
- Strong SQL and data modeling expertise
- Experience with ETL and data warehousing concepts
- Familiarity with dbt (or strong interest in mastering it)
- Confidence owning projects and driving outcomes independently
- Strong communication skills with the ability to influence stakeholders
Nice to Have
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- Snowflake
- Power BI or Tableau
- Python
- Git / version control
- Exposure to machine learning concepts
- Agile environment experience
Why This Role
- High visibility and direct impact on business decisions
- Real ownership in a growing data environment
- Opportunity to shape data architecture and best practices
- Based in Denver
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