Forward Deploy Data Engineer-Associate
USD 132K-150K (estimate) Mid-level Full Time
Tasks
- Build acquisition connectors ingestion templates and transformation scaffolding
- Capture onboarding feedback to drive platform improvements
- Configure source ingestion and pipeline deployments to production
- Contribute to DPaaS platform engineering and feature development
- Define data product schema ownership SLAs quality and governance
- Develop reusable data product accelerators and pipeline templates
- Document onboarding patterns and common failure modes into playbooks
- Embed with partner teams to onboard data products to DPaaS
- Implement AI assisted onboarding workflows with schema inference and data profiling
- Navigate and operate across DPaaS stack on Azure data services
- Provide technical advisory on data product design and onboarding best practices
- Run onboarding workshops and technical enablement sessions
- Troubleshoot onboarding failures across infrastructure pipeline and data layers
- Use AI assisted coding to accelerate configuration and pipeline generation
- Validate data product correctness and pipeline integrity across raw staging and curated layers
Perks/Benefits
Skills/Tech-stack
AI Agents | Apache Airflow | ArgoCD | Azure | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Blob Storage | CI/CD | DBT | Data Cataloging | Data Factory | Data Governance | Data Lake Storage | Data Quality | Data profiling | DevSecOps | Embeddings | GitHub Copilot | Go | Helm | Java | Kubernetes | LLM Applications | Metadata Management | Model Context Protocol | Python | SQL | Schema inference | Schema mapping | Snowflake | Snowflake SQL | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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