Mid-Level Data Engineer, Databricks

📋 Description

• Design, develop, test, and maintain data pipelines using Databricks, Python, PySpark, and SQL to
• Build and maintain data products that support analytics, reporting, and automation across multiple
• Validate datasets against source systems, investigate discrepancies, troubleshoot data quality
• Apply established ETL/ELT practices, data modeling principles, and quality controls to ensure data
• Document data pipelines, table definitions, transformation logic, and business rules to support
• Take ownership of assigned engineering tasks from initial development through delivery and

🎯 Requirements

• Bachelor's degree in computer science, data science, information systems, engineering, or a related
• At least 5 years of experience in data engineering, data analysis, or a related technical field.
• Hands-on experience building and supporting data pipelines in Databricks, including notebooks
• Proficiency in Python and SQL for data transformation, querying, validation, and troubleshooting.
• Solid understanding of ETL/ELT processes, data modeling, data integration, and data quality
• Ability to investigate data discrepancies, identify root causes, and implement effective solutions.

🎁 Benefits

• Salary: Annual compensation range of $100,000–$140,000 USD.
• Work arrangement: Fully remote position within the United States.
• Health coverage: Comprehensive medical, dental, and vision insurance.
• Insurance protection: Short-term disability and life insurance coverage.
• Retirement savings: 401(k) plan with matching employer contributions.
• Paid time off: Paid leave, including 11 holidays and a day off for your birthday.