$59.50 - $85.00 (est. hourly)

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