Sr Data Engineer

HR Recruiting Services; Los Angeles (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Employer-sponsored medical insurance

Dental insurance

401(k) retirement plan with employer match

California sick leave policy

Job summary

HR Recruiting Services is seeking a Senior Data Engineer in Los Angeles to join the team. The successful candidate will design and maintain high-performance data pipelines, leveraging advanced technologies such as Python, Spark, and Airflow.

This role involves collaboration with cross-functional teams to drive data-driven decision making, requiring a minimum of 5 years of experience in data engineering. Additional benefits include employer-sponsored medical and dental insurance and a 401(k) retirement plan.

Qualifications

• 5+ years of hands‑on experience in data engineering with a focus on large‑scale data pipelines.
• Proficiency in a major programming language such as Python, Java, or Scala.
• Production‑level experience with distributed processing systems like Apache Spark.

Responsibilities

• Design, build, and maintain robust, high‑performance data pipelines for the Core Data platform.
• Develop and manage real‑time streaming data pipelines using modern data processing frameworks.
• Build and document APIs to expose data to downstream applications and services.

Skills

Python

Apache Spark

Apache Airflow

Snowflake

Data Engineering

Tools

Databricks

Delta Lake

Job description

Los Angeles, United States | Posted on 06/17/2026

Our client has an opening for aSenior 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 platform
• Develop and manage real‑time streaming data pipelines using modern data processing frameworks
• Build and document APIs to expose data to downstream applications and services
• Optimize and scale data infrastructure using technologies including Airflow, Spark, Databricks, Delta Lake, and Snowflake
• Collaborate with product managers, architects, and engineering teams to define platform requirements and roadmap
• Establish and uphold internal and external standards for pipeline configuration, naming conventions, and data governance
• Ensure operational excellence, data quality, and platform reliability across all datasets and services
• Troubleshoot and resolve complex data pipeline issues in production environments

Requirements

• 5+ years of hands‑on experience in data engineering with a focus on large‑scale data pipelines
• Proficiency in a major programming language such as Python, Java, or Scala
• Production‑level experience with distributed processing systems like Apache Spark
• Demonstrated experience with data pipeline orchestration tools, particularly Apache Airflow
• Experience with cloud‑based or MPP data platforms such as Snowflake, Databricks, or BigQuery
• Strong experience in building and consuming APIs, including GraphQL
• Deep understanding of OLTP vs OLAP systems and their respective use cases
• Proven background in distributed data processing, data service software engineering, or advanced data modeling
• Must pass a background check as part of the hiring process
• 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
• 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.