What are the responsibilities and job description for the Data Engineer position at Interactive Resources - iR?
🚀 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
Salary : $100,000 - $110,000