Senior Data Engineer

2 days ago

Glendale, CA, United States KellyMitchell Group Full time
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.

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