Data Engineer
Tasks
- Build Python scripts for ETL and automation
- Collaborate with technical and non-technical stakeholders
- Deliver work in Agile Scrum with Jira and GitLab
- Design and build data pipelines
- Develop dbt models and tests
- Improve pipeline performance and reduce technical debt
- Investigate data anomalies and ensure data quality
- Monitor pipeline health and triage failures
- Own production pipeline operations
- Participate in code reviews QA testing and releases
- Transform and model healthcare data
- Translate business requirements into technical implementations
- Write optimized SQL for transformations and troubleshooting
Perks/Benefits
- 401k
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Pet insurance
- Reimbursement for remote work expenses
- Vision insurance
- Wellness programs
Skills/Tech-stack
API Integration | Automation | Batch Processing | CI/CD | CSV | DBT | Data Modeling | Data Quality | Data Validation | ELT | ETL | Git | JSON | Mart Layer | Parquet | Python | SQL | Slowly Changing Dimensions | Snowflake | Staging | Star Schema | XML
Education
N/A
Roles
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