Data Engineer
$110,000–$120,000 year
HybridDenver, Colorado, United States
Job Summary
Engineer and own robust, scalable ETLs for cleaning and ingesting datasets while building and maintaining dashboards for internal stakeholders and external clients. Investigate data discrepancies across ingestion, transformation, and reporting layers, identifying root causes and implementing durable fixes. Automate, modularize, and improve existing data ingestions while contributing to orchestration pipelines and expanding the company's cloud-based data platform. Gather requirements from external clients and internal stakeholders to translate them into actionable bodies of work, collaborating with software developers and data scientists to deliver cross-departmental solutions. Implement and refine CI/CD, IaC, automated testing, and agile strategies to scale departmental capabilities. Report directly to a Lead Data Engineer and work closely with the VP of Data and COO to drive decision-making.
Required Qualifications
- 1-3 years with BI platform development and/or data engineering
- 1-3 years with scripting and programming in Python
- 1-3 years with SQL-based databases (Redshift, Athena, SQL Server, MySQL, etc.)
- 1-3 years with one cloud computing service (AWS, GCP, Azure, etc.)
- 1-3 years with Git version control (Bitbucket, GitHub, etc.)
- 1-3 years with automated tests as a core part of development workflow (unit, integration, etc.)
- 1-3 years with data visualization tools (Tableau, QuickSight, Power BI, etc.)
- 1-3 years with validating data accuracy and troubleshooting discrepancies across pipelines or reporting layers (e.g., reconciling source vs. destination data, root-causing anomalies, auditing for correctness, etc.)
- 1-3 years with working within an agile framework (Kanban, Scrum, etc.)
Desired Qualifications
- 1-2 years with IaC tools (CloudFormation, CDK, Terraform, etc.)
- 1-2 years with building and maintaining CI/CD pipelines (Bitbucket Pipelines, Jenkins, GitHub Actions, etc.)
- 1-2 years with containerization technologies (Docker, ECS, etc.)
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