Principal Data Engineer

Abbott seeks a Principal Data Engineer to serve as a senior technical leader for enterprise data engineering initiatives. The role owns cross-domain architecture, data standards, and complex technical delivery across Databricks-based platforms while mentoring engineers and driving operational excellence.

Responsibilities

• Own technical outcomes of cross-domain initiatives from design through production and lifecycle support
• Define, steward, and evolve enterprise data engineering standards, reference architectures, and data contracts
• Lead hands-on technical work including prototyping, code review, and production problem-solving across domains
• Conduct enterprise design reviews, mentor Staff and Senior Engineers, and escalate technical risks and dependencies
• Evaluate architecture tradeoffs and design solutions handling protected health information meeting HIPAA and regulatory requirements

Requirements

• Bachelor's degree in Data Science, Computer Science, Information Systems, Mathematics, or Engineering
• Expert-level software development design with Spark on Databricks, Python, Scala, and SQL
• Experience designing ETL/ELT pipelines, batch and event-driven patterns, and data modeling solutions
• Knowledge of cloud infrastructure (AWS, S3, SQC), Delta Lake, Parquet, Avro, and GitLab CI/CD
• Demonstrated ability to lead through influence across multiple teams and communicate technical decisions to executives
• Experience with REST API development, BI tools (Tableau), and Agile development methodologies
• Preferred: Databricks, Kafka, change data capture, semantic layers, and metrics layer design at enterprise scale