Job Summary Our client is seeking a Senior Data Engineer to join their team! This position is located in Glendale, California. Duties • Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines • Build tools and services to support data discovery, lineage, governance, and privacy • Collaborate with other software/data engineers and cross-functional teams • Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Kubernetes, and AWS • Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform • Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more • Ensure high operational efficiency and quality of the Core Data platform datasets to ensure solutions meet SLAs and project reliability and accuracy for all stakeholders • Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for the team • Engage with and understand customers, forming relationships to prioritize both innovative new offerings and incremental platform improvements • Maintain detailed documentation of work and changes to support data quality and data governance requirements Desired Skills/Experience • 5+ years of data engineering experience developing large data pipelines • Proficiency in at least one major programming language • Strong SQL skills and ability to create queries to analyze complex datasets • Hands-on production environment experience with distributed processing systems such as Spark • Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines • Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology • Experience in developing APIs with GraphQL • Deep understanding of AWS or other cloud providers as well as infrastructure as code • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices • Advanced understanding of OLTP vs. OLAP environments Benefits • Medical, Dental, & Vision Insurance Plans • 401K offered $59.50 - $85.00 (est. hourly)