Data Engineer – Databricks

Core responsibilities:

• Build and scale modern, cloud-native data platforms using Databricks
• Develop and optimize data pipelines using Databricks and Apache Spark (PySpark)
• Migrate enterprise data workloads from AWS-based platforms to Databricks
• Implement data quality, security, and governance best practices

This role contributes to solving the world's most significant energy and environmental sustainability challenges by building data platforms that support clean energy projects and drive the industry forward toward a cleaner future.

Required qualifications:

• 4-6+ years of experience in Data Engineering
• Strong hands-on experience with Databricks on AWS
• Advanced knowledge of Apache Spark (PySpark preferred)
• Experience with Terraform (IAC), Delta Lake, SQL, and Python

Benefits include: work on large-scale data platform modernization, hands-on ownership of Databricks Lakehouse architecture, opportunity to work closely with AI/ML and advanced analytics teams, and a strong engineering culture with growth and learning opportunities.

Air Products is the world's largest hydrogen producer with over 80 years of industrial gas experience, delivering safe, end-to-end solutions and investing in real, clean energy projects at scale to generate a cleaner future.