Senior Data Engineer
Job description
This Senior Data Engineer role in Denver, CO is focused on developing and maintain scalable data models that support analytics, AI workloads, and enterprise reporting. It would suit someone who can bring technical problem-solving, documentation, and careful delivery to the role.
Where the work sits
In alignment with our flexible work policy (3 days Onsite required, 2 days flexible) or remote. Communicate emerging data, analytics, and AI technologies to the engineering team to support platform evolution.
How the role works day to day
Develop and maintain scalable data models that support analytics, AI workloads, and enterprise reporting. Maintaining clear and comprehensive technical documentation covering platform architecture, design decisions, and engineering standards.
What helps in this setting
careful practical judgement. Strong professional approach.
Practical details
- $150,000-160,000 Base + Bonus (this range is based on Colorado market data and may vary in other locations).
- Work model: Remote.
- Additional detail: Flexible working options may be available.
What needs to be in place
- Minimum of 5 years of experience in data engineering or data platform architecture.
- Travel required is expected to be up to 10% but may increase over time as the business evolve.
- Experience building solutions on the Microsoft Azure platform with exposure to services such as Azure Databricks, Azure Synapse, Azure Data Factory, Azure SQL Database, PostgreSQL,.
Job details
- Benefits mentioned: Bonus, Training
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