Data Engineer

🚀 Junior Databricks Data Engineer (Azure)

📍 Location: Tempe Arizona- Onsite with the team

💼 Employment Type: Full-Time

We are partnering with an innovative organization to find a Junior Databricks Data Engineer who is passionate about building modern data solutions in the cloud. This is a great opportunity for someone with 3–4 years of experience looking to grow their expertise in Azure and Databricks Lakehouse technologies while working on impactful, enterprise-scale data initiatives.

What You’ll Do:

• Design, build, and maintain scalable data pipelines using the Databricks Lakehouse platform
• Support the modernization of a cloud-based data ecosystem in Azure
• Develop ETL/ELT pipelines using Python, PySpark, and SQL
• Work with Delta Lake to ensure data reliability, performance, and scalability
• Assist in implementing data governance, security, and cataloging practices (Unity Catalog exposure is a plus)
• Use tools like Apache Airflow (or similar) for workflow orchestration
• Build and support data ingestion pipelines from APIs, databases, and file-based sources
• Collaborate with cross-functional teams to enable analytics, BI, and data science use cases
• Write and optimize SQL queries and help create curated datasets for reporting
• Contribute to CI/CD pipelines and automation efforts for data workflows

What You Bring:

• 3–4 years of experience in data engineering, data warehousing, or related roles
• Hands-on experience with Python, SQL, and PySpark (or Spark)
• Exposure to Databricks and/or Azure cloud services
• Understanding of ETL/ELT processes and data pipeline development
• Familiarity with Delta Lake or modern data lake architectures is a plus
• Experience with orchestration tools like Airflow is preferred
• Basic knowledge of data governance, security, and best practices
• Strong problem-solving skills and eagerness to learn in a fast-paced environment

Nice to Have:

• Exposure to Unity Catalog, Databricks Workflows, or Delta Live Tables
• Experience working with regulated or financial datasets
• Familiarity with DevOps/CI/CD concepts in a data environment