Senior Data Engineer - NBA
Work at Home - Tennessee, United States
R
USD 117K-161K Senior-level Full Time
Tasks
- Apply data governance for lineage security PHI handling auditability and compliance
- Build and maintain lakehouse pipelines for member profiles
- Design scalable data models for governance usability and performance
- Develop feature engineering workflows for model training and real time decisioning
- Implement batch and streaming ingestion pipelines
- Implement data quality validation reconciliation monitoring alerting testing
- Support operational troubleshooting for pipeline failures and production incidents
- Tune Spark workloads and optimize query performance
Perks/Benefits
- 401k retirement savings plan
- Life insurance
- Long-term disability
- Medical/Dental/Vision insurance
- Paid caregiver leave
- Paid parental leave
- Paid time off
- Remote/hybrid work
- Short-term disability
Skills/Tech-stack
Alerting | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Event | Azure Event Hubs | Data Factory | Data Governance | Data Lake Storage | Data Lineage | Data Modeling | Data Observability | Data Pipeline Testing | Data Quality | Data pipeline | Databricks | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | Event Hubs | Feature Engineering | Great Expectations | Kafka | Medallion Architecture | Monitoring | Partitioning | Pipeline testing | Python | SQL | Spark SQL | Spark Structured Streaming | Structured Streaming | Unity Catalog
Education
N/A
Roles
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