$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
