Robert HalfVerified Source

Senior Data Engineer, Cloud Platform Modernization

78K–83K
Onsite · Los Angeles, California
Posted August 13, 2026
contract

Overview

You own the design and build of scalable data pipelines and cloud-based platforms for a major enterprise. 5+ years of experience with Python, SQL, and AWS underpins your work. You partner with cross-functional teams to modernize legacy data systems, driving real-time analytics and data-driven decisions. This long-term contract in Glendale, CA offers a hybrid schedule and W2 pay.

What You'll Do8

  • 1Design and implement modern data architectures on AWS, including S3, Redshift, and Kinesis.
  • 2Build and optimize ETL pipelines using Spark and Airflow to process terabytes of data.
  • 3Lead migration of on-premise data warehouses to cloud-native solutions.
  • 4Collaborate with data scientists and analysts to deliver reliable, high-quality data.
  • 5Develop and maintain data models for business intelligence and reporting.
  • 6Implement data governance and security best practices across the platform.
  • 7Monitor and troubleshoot data pipelines to ensure performance and reliability.
  • 8Mentor junior engineers on coding standards and cloud technologies.

Requirements9

  • 15+ years in data engineering, building scalable data pipelines.
  • 2Proficiency in Python and SQL for data processing and transformation.
  • 3Hands-on experience with AWS services (e.g., EC2, S3, Redshift, Glue).
  • 4Experience with Apache Spark and Airflow for orchestration.
  • 5Strong knowledge of data modeling, warehousing, and ETL principles.
  • 6Bachelor's degree in Computer Science or equivalent experience.
  • 7Experience with Kafka or Kinesis for streaming data.
  • 8Familiarity with Docker and Kubernetes for containerized deployments.
  • 9Excellent communication and cross-functional collaboration skills.

Salary Insight

$78 - $83k per year

Location

Typeonsite
LocationLos Angeles, California

Required Skills

pythonsqlawssparkairflow
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