Data Insights Engineer

Data Insights Engineer

Greenwood Village Colorado - 4 days onsite in a week

Work split: ~70% front-of-house (dashboard development, stakeholder presentations, readouts) / ~30% back-of-house (ETL support, table builds, data quality validation)

Must-Have Qualifications

Skill

• Detail

• Tableau

• 2–3+ years; LODs, parameters, performance optimization, stakeholder-facing dashboards. Power BI is not a fit.

• SQL

• Proficient — window functions (PARTITION BY), CTEs, UNION ALL, complex joins. Must be able to write queries and read/understand a legacy codebase.

• Stakeholder Communication

• Able to present dashboards to leadership, manage competing priorities, and communicate trade-offs clearly

• Big-Picture Thinking

• Must articulate how a project affects the greater org and customer experience — now, in 60 days, in 6 months

• Self-Starter

• Manages own time, owns scoping and execution, surfaces blockers early

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• Strongly Preferred

• Experience with big data environments (Spark, Hive, S3 or similar) — some dashboards have 30M+ rows

• Comfort with ETL processes (table builds, pipeline troubleshooting, data quality validation)

• Digital analytics experience — customer journeys, funnels, containment, adoption metrics

• Dimensional modeling concepts (tenure, segmentation, package type as reusable dimensions)

• Data quality validation and source reconciliation experience

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• Nice to Have

• AI/ML tools experience — team uses Quiero (AI/ML experience is a nice-to-have)

• Background in statistics or data science

• IVR, chat, or bot data experience

• UX principles familiarity

• Jira / Agile workflow experience

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