Senior Data Engineer
Hybrid - Denver, United States
R
USD 144K-165K Senior-level Full Time
Tasks
- Add descriptions and query guidance for metrics
- Build AI trust and reliability checks
- Build and maintain quality signal jobs
- Build and maintain semantic layer
- Collaborate with cross team to onboard data assets
- Document processes and contribute to shared knowledge base
- Drive data governance adoption
- Enforce standards through automated validation
- Implement query accuracy checks
- Lead data contract and metadata standards
- Lead end to end technical leadership for squad
- Leverage AI tools to accelerate development
- Maintain tagging and lineage automation
- Monitor AI usage and define AI assistance avenues
- Own automated AI readiness scoring pipeline
- Set up monitoring to catch data issues
- Translate privacy policies into data guardrails
Perks/Benefits
- 401k match
- Flexible time off
- Hybrid work
- Lifestyle spending account
- Medical/Dental/Vision
- Occasional meals
- Paid parking
- Relocation bonus
- Snacks
Skills/Tech-stack
Access Control | Agentic Frameworks | Agile | Automated Deployment | Configuration as Code | Context engineering | Data Catalog | Data Freshness Monitoring | Data Governance | Data Lineage | Data Observability | Data Privacy | Data Quality | Data Tagging | Data freshness | Databricks | Freshness Monitoring | LLM APIs | Medallion Architecture | Metadata Management | Python | RAG | SQL | Schema Validation | Semantic Modeling | Semantic layer | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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