Principal Engineer Data Engineering

Posted 29d ago

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Design and build scalable, high-performance ETL/ELT data pipelines from diverse source systems to cloud platforms
Architect robust data models (conceptual, logical, physical) supporting reporting, analytics, and advanced business applications
Manage and modernize enterprise data storage, driving performance across legacy data warehouses and modern cloud platforms
Implement DevOps and CI/CD best practices for data pipelines to ensure continuous, automated, and reliable data delivery
Optimize SQL queries, Python scripts, and orchestration workflows to improve system throughput and decrease processing latency
Evaluate and integrate innovative data technologies, including AI/ML automation and advanced orchestration tools

Bachelor's degree or four or more years of work experience
Six or more years of relevant experience
Five or more years of hands-on experience in ETL/ELT data pipeline development
Demonstrated experience in Data Modeling, Data Warehousing, and System Architecture
Expert-level proficiency in SQL and Python
Hands-on expertise with cloud platforms (AWS and/or GCP)

Degree in Computer Science, Data Engineering, Information Systems, or related technical field
Experience with workflow orchestration and integration tools such as Apache Airflow and Talend
Strong familiarity with traditional data warehouse platforms like Teradata
Proven background implementing DevOps practices for data (DataOps) using Git, Jenkins, and automated testing frameworks
Experience leveraging AI/ML tools or generative AI techniques within data engineering workflows
Cloud or Data Engineering certifications (e.g., AWS Certified Data Engineer, GCP Professional Data Engineer)

Skills