Data Engineer – Marketing Data & Analytics

Role Overview

Design, build, and operate data pipelines on Databricks using Delta Lake, Unity Catalog, Databricks Workflows, PySpark, and SQL. Ingest data from enterprise systems, SaaS platforms, files, and APIs; apply standardization, data-quality checks, and business rules to produce certified, well-modeled tables that analysts, data scientists, and self-service tools consume.

What You Will Do

Write efficient, readable SQL and Python; tune performance and cost; follow the medallion architecture and the team’s modeling and naming standards. Implement monitoring, alerting, runbooks, and rerun procedures so every production pipeline has a clear owner and a tested recovery path.

Why It Might Be a Fit

Partner with analysts, data scientists, and the Data Architecture and Data Governance leads to translating requirements into pipeline designs, and with the Data Steward on access, classification, and data-handling rules. Contribute to team standards, share what you learn, and help onboard and mentor teammates.

Requirements

• Databricks Certified Data Engineer Associate or Professional
• 3+ years of hands-on Databricks experience (Delta Lake, Unity Catalog, Workflows, PySpark, Databricks SQL) in production
• Strong SQL, including window functions, incremental and merge patterns, and performance tuning on large tables
• Python for data engineering (PySpark or pandas), API integration, and file processing
• Experience running pipelines in production: monitoring, incident handling, root-cause analysis, and documentation
• Excellent and concise communication explains technical work in plain language, writes clear documentation and status updates, and keeps stakeholders informed without being asked
• Team player: collaborates across U.S. and ABC sites, shares credit, asks for and offers help, and puts the team’s delivery ahead of individual preference
• Humble and growth-minded: welcomes feedback and code review, learns new tools and domains quickly, and grows into broader responsibility over time
• Attention to detail and ownership of data quality; comfort working within a regulated environment’s privacy, access, and change-control requirements

Benefits

• Dental insurance
• Vision insurance
• Pre-employment background check, medical, and drug test
• Equal Employment Opportunity