Senior Data Engineer

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 and data engineers and cross-functional teams
• Work with a tech stack that includes Airflow, Spark, Databricks, Delta Lake, 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 internal and external standards and best practices for pipeline configurations, naming conventions, and more
• Ensure high operational efficiency and quality of Core Data platform datasets to meet SLAs and ensure reliability and accuracy for stakeholders in Engineering, Data Science, Operations, and Analytics
• Participate in agile and scrum ceremonies to collaborate and refine team processes
• Engage with customers to build relationships, understand needs, and prioritize both innovative solutions 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 such as: Python, Java or Scala
• Strong SQL skills and the ability to create queries to analyze complex datasets
• Hands-on production experience with distributed processing systems such as Spark
• Experience interacting with and ingesting data efficiently from API data sources
• Experience coding with the Spark DataFrame API to create data engineering workflows in Databricks
• Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
• Experience 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 best practices
• Strong algorithmic problem-solving skills
• Excellent written and verbal communication skills
• Advanced understanding of OLTP versus OLAP environments

Benefits:

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

The approximate pay range for this position is between $51.00 and $73.00. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.