Senior Data EngineerOur client has an opening for a Senior Data Engineer. As a Sr Data Engineer you will play a pivotal role in building and maintaining the core data platform that powers world-class entertainment experiences for a globally recognized leader in the Entertainment & Media industry. Based in Glendale, CA, and working onsite four days per week, you will leverage cutting-edge technologies such as Python, AWS, Spark, Snowflake, Databricks, and Airflow to design, develop, and optimize scalable data pipelines. Your work will directly impact the reliability, performance, and accuracy of data assets used across engineering, data science, analytics, and operations teams. You will collaborate closely with cross-functional stakeholders to drive innovation, enforce best practices, and ensure the platform meets stringent SLAs. This role is critical to enabling data-driven decision-making and supporting the company's mission to deliver exceptional digital experiences at scale.Responsibilities:Design, build, and maintain robust, high-performance data pipelines for the Core Data platformDevelop and manage real-time streaming data pipelines using modern data processing frameworksBuild and document APIs to expose data to downstream applications and servicesOptimize and scale data infrastructure using technologies including Airflow, Spark, Databricks, Delta Lake, and SnowflakeCollaborate with product managers, architects, and engineering teams to define platform requirements and roadmapEstablish and uphold internal and external standards for pipeline configuration, naming conventions, and data governanceEnsure operational excellence, data quality, and platform reliability across all datasets and servicesTroubleshoot and resolve complex data pipeline issues in production environmentsRequirements:5+ years of hands-on experience in data engineering with a focus on large-scale data pipelinesProficiency in a major programming language such as Python, Java, or ScalaProduction-level experience with distributed processing systems like Apache SparkExperience with data pipeline orchestration tools, particularly Apache AirflowExperience with cloud-based or MPP data platforms such as Snowflake, Databricks, or BigQueryStrong experience in building and consuming APIs, including GraphQLDeep understanding of OLTP vs OLAP systems and their respective use casesProven background in distributed data processing, data service software engineering, or advanced data modelingLocations: Los Angeles/Glendale area for 4 days/week onsite.
Benefits include employer-sponsored medical insurance (3 levels available for you and your family), dental insurance coverage for you and your family, 401(k) retirement plan with employer match, and overtime eligibility. California sick leave policy: 1 hour accrued for every 30 hours worked, up to 48 hours. For employees in other states, please inquire about state-specific policies.HR Recruiting Services is an Equal Opportunity Employer and does not discriminate on the basis of race or ethnicity, religion, sex, national origin, age, veteran disability or genetic information or any other reason prohibited by law in employment.