Data Engineer

Responsibilities

• Drive the technical implementation and design of scalable, Gold-layer data products on the Azure Databricks Lakehouse Platform.
• Design, build, and deploy high-volume data transformation logic using optimized PySpark to support ML, AI, and enterprise reporting.
• Collaborate with senior engineers to translate complex business requirements into robust technical designs and dimensional data models.
• Contribute to the design and improvement of CI/CD pipelines in Azure DevOps/Git for automated and secure deployment.
• Implement and maintain advanced data quality frameworks and monitoring solutions to ensure data reliability.
• Integrate data from diverse source systems, including SQL Server, Neo4j, and CosmosDB.

Requirements

• Bachelor's degree or equivalent professional experience (5 years of relevant experience in lieu of a degree).
• Minimum of 2 years of professional experience in Data Engineering, Software Engineering, or a closely related field.
• Minimum of 2 years of hands-on experience with the Databricks Platform.
• Proficiency in PySpark and distributed processing.
• Experience with advanced data modeling (e.g., dimensional modeling, star/snowflake schemas).
• Experience with Azure Data Factory or similar orchestration tools.
• Experience with SQL and non-relational/graph databases.
• Ability to work legally in the United States without visa sponsorship.

Preferred Qualifications

• Experience with cloud cost management principles related to Databricks compute and ADLS storage.
• Experience with Infrastructure as Code (e.g., Terraform, ARM templates).
• Proficiency with data visualization and dashboarding tools such as Power BI or Tableau.

Benefits

• Equitable and market-competitive base pay and bonus opportunities.
• Comprehensive medical, life, and mental health insurance packages.
• Competitive retirement programs and employee stock purchase programs.
• Student Debt Retirement Savings Match Program (U.S. only).
• Paid time off for new parents, family care, and volunteering.
• Opportunities for continuous learning, mentoring, and professional growth.

About the Company

Dow is a leading materials science company serving high-growth markets such as packaging, infrastructure, mobility, and consumer applications. With a commitment to sustainability and innovation, Dow operates manufacturing sites in 30 countries and employs approximately 36,000 people globally to deliver a sustainable future through science and collaboration.