Own scalable data engineering solutions that power business analytics and operational data needs.

Design, develop, maintain, and optimize scalable data pipelines and architectures for analytics and operational use cases
Partner with cross-functional teams to translate business requirements into technical data solutions
Build data integration, transformation, and data quality frameworks using modern ETL and streaming approaches
Apply data governance controls to meet regulatory and ethical standards for data handling and storage
Use cloud platforms and big data technologies to automate data workflows and improve processing efficiency
Monitor and troubleshoot data systems to maintain reliability and performance
Provide technical guidance on data modeling, storage, and metadata management best practices

Proven expertise in data engineering, including designing and maintaining scalable data pipelines
Proficiency in Python and experience with ETL plus big data technologies: Apache Spark, Hive, and Kafka
Strong knowledge of cloud platforms, with emphasis on Google Cloud, and experience with modern data warehousing solutions
Experience implementing data quality frameworks and meeting compliance needs tied to data governance and regulatory requirements
Familiarity with CI/CD practices and automated deployment in data environments
Solid understanding of data modeling techniques and metadata management across data platforms
Minimum qualification options:
- Option 1: Bachelor’s degree in Computer Science and 4 years of experience in software engineering or related field
- Option 2: 6 years of experience in software engineering or related field
- Option 3: Master’s degree in Computer Science and 2 years of experience in software engineering or related field
Experience: 3 years in data engineering, database engineering, business intelligence, or business analytics

Background in data engineering, database engineering, or business intelligence, including ETL and working with large data sets in the cloud
Master’s degree in Computer Science or related field plus 4 years of experience in software engineering or related field
Knowledge of creating inclusive digital experiences, including implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA, assistive technologies, and accessibility integration

Staff, Data Engineer

Job Description