Senior Data Engineer

Bachelor’s degree in Data Engineering, Computer Science, Data Science, Machine Learning, Mathematics, or a related field OR 5+ years of relevant applied work experience.

Required Experience

5+ years of hands-on experience in:

Maintaining SQL databases and performing advanced SQL and T-SQL operations.

Designing, implementing, and maintaining ELT/ETL pipelines in cloud-based data analytics environments.

3+ years of hands-on experience in:

Working with Azure Synapse Analytics and Azure Machine Learning using the modern data stack. DP-203 (or equivalent) certification is preferred.

Data manipulation using Python (Pandas required).

Experience with PySpark and/or Polars is preferred.

Developing reusable, modular, and maintainable code is preferred.

Pay: $50.00 - $55.00 per hour