Senior Data Engineer
Richmond, Virginia, United States of America
USD 133K-172K Senior-level Full Time
Tasks
- Build data migration and transformation processes
- Collaborate with engineering product DevOps and DBA teams
- Contribute to technical design decisions and mentor engineers
- Design scalable data pipelines
- Develop ETL ELT for large datasets
- Implement source to target mapping deduplication and entity resolution
- Improve data quality validation and reconciliation controls
- Ingest batch and incremental data from external sources
- Normalize schemas into enterprise data models
- Orchestrate and monitor production data pipelines
Perks/Benefits
- 401k matching
- Commuter benefits
- Dental insurance
- Health insurance coverage
- Life insurance
- Mental health counseling
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
.NET | AWS | Airflow | Azure | Azure Data | Azure Data Factory | Azure Synapse | BigQuery | C# | CDC | CI/CD | Cloud Data | Cloud Data Warehouse | DBT | Dagster | Data Cataloging | Data Factory | Data Lakehouse | Data Lineage | Data Modeling | Data Quality | Data Validation | Data Vault | Data Warehouse | Data Warehousing | Data orchestration | Database replication | Databricks | Databricks Workflows | Deduplication | Delta Lake | Dimensional Modeling | Distributed Processing | ELT | ETL | Entity Resolution | GCP | Governance | GraphQL | Java | Normalized Schema | Python | REST APIs | Reconciliation | Redshift | SFTP | SQL | Scala | Snowflake | Source to Target | Source-to-Target Mapping | Spark | Star Schema | Target Mapping | Version control
Education
Roles
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