Data Engineer, Data & Analytics
USD 85K-108K (estimate) Mid-level Full Time
Tasks
- Apply DevOps practices for data availability
- Build ETL/ELT workflows
- Collaborate on data needs for analytics
- Create data transformation logic in SQL and Python
- Design data pipelines
- Design dimensional data models
- Develop automated indicators and KPIs
- Ensure data quality governance compliance
- Implement CI CD code quality
- Implement Python data solutions
- Optimize relational databases
- Perform exploratory data analysis
- Productionize machine learning models
- Schedule and automate workflows
Perks/Benefits
- 401k match
- Dental insurance
- Disability coverage
- Employee assistance program
- Fertility benefits
- Flexible spending account
- Flexible work
- Life insurance
- Medical insurance
- Paid Holidays
- Paid time off
- Parental leave
- Vision insurance
Skills/Tech-stack
AWS | Apache Airflow | Azure | Azure Data | Azure Data Factory | CI/CD | Dagster | Data Factory | Data Governance | Data Modeling | Data Monitoring | Data Quality | DataOps | Databricks | Dimensional Modeling | ELT | ETL | GCP | Git | Infrastructure as Code | Machine Learning | Matplotlib | NumPy | Pandas | Plotly | Prefect | PySpark | Pytest | Python | Relational databases | SQL | Semantic layer | Spark | Star Schema | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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