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Senior Data Engineer
Business Intelligence & Data Management
Glendale, California, 91201
Contract
Ref.: 136485
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)
