Data Engineer

• Key Responsibilities
• Design, build, and maintain scalable data pipelines for ingesting, cleaning, and transforming provider data.
• Develop and optimize workflows in Databricks for large-scale data processing.
• Implement and manage data storage solutions using the Microsoft Azure suite, including Azure Data Lake, Blob Storage, and Azure SQL.
• Collaborate with API developers and data consumers to ensure seamless API data consumption.
• Work closely with data scientists, analysts, and product owners to ensure data quality, consistency, and availability.
• Contribute to the evolution of our data lake and warehouse architecture to support current and future analytics needs.
• Required Qualifications
• Hands-on experience with Databricks and Apache Spark.
• Proficient in SQL, Python, PySpark, Git
• Strong proficiency with Microsoft Azure cloud services, especially in data storage and compute.
• Proven experience with data lakes and/or data warehouses.
• Solid understanding of REST APIs and experience consuming them in data workflows.
• Experience with data ingestion, ETL/ELT pipelines, and data cleaning techniques.
• Preferred Qualifications
• Hands-On Experience with PowerBI
• Experience building or maintaining GraphQL APIs.
• Experience designing and developing REST APIs.
• Familiarity with AI/ML integration in data pipelines or analytics workflows.
• Knowledge of healthcare data standards and provider data models is a plus.

The projected hourly range for this position is $65.00 to $85.00

On-Demand Group (ODG) provides employee benefits which includes healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.