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Data Engineer - Careers at Robert Half

Robert Half

Data Engineer - Careers at Robert Half

full-timePosted: Feb 3, 2026

Job Description

About the Data Engineer Role at Robert Half

Join Robert Half's dynamic team in Los Angeles, California, as a Data Engineer and play a pivotal role in revolutionizing advertising technologies through cutting-edge data solutions. This full-time position offers an exciting opportunity to design, build, and optimize advanced data infrastructures that power machine learning models, real-time analytics, and innovative business intelligence tools. With a competitive salary starting at $100,000 annually, you'll contribute to a high-impact environment where your expertise in handling large datasets, cloud platforms, and streaming technologies will drive transformative outcomes.

Robert Half is a leader in professional services, connecting top talent with exceptional career opportunities. In this role, you'll collaborate with cross-functional teams including data scientists, machine learning engineers, and business stakeholders to ensure seamless data flow and accessibility. Whether you're passionate about Apache Kafka for real-time streaming or Apache Spark for big data processing, this position allows you to leverage your skills in a fast-paced, innovative setting focused on advertising tech innovation.

Key Responsibilities

  • Develop and maintain robust data pipelines to handle extraction, transformation, and loading (ETL) processes efficiently, ensuring high-quality data for downstream applications.
  • Design scalable architectures that seamlessly support machine learning models and advanced analytics, enabling rapid experimentation and deployment.
  • Collaborate with cross-functional teams to deliver intuitive business intelligence tools, customizable reporting solutions, and interactive analytical dashboards.
  • Implement cutting-edge real-time data streaming solutions using platforms like Apache Kafka and Apache Spark to process high-velocity data streams.
  • Optimize database performance for efficient storage, retrieval, and querying of massive datasets, minimizing latency and maximizing throughput.
  • Build and manage resilient data science programs and personas tailored to support AI initiatives and predictive modeling efforts.
  • Lead and mentor a talented team of data scientists, machine learning engineers, and data architects, fostering a culture of excellence and innovation.
  • Design comprehensive strategies for maintaining large datasets, guaranteeing data integrity, security, and effortless accessibility across the organization.
  • Create detailed technical documentation for all workflows, processes, and system architectures to promote knowledge sharing and operational continuity.
  • Stay ahead of the curve by tracking emerging technologies in data engineering, continuously enhancing practices and introducing efficiencies.

Required Qualifications for Data Engineer

To excel in this Data Engineer role at Robert Half in Los Angeles, CA, you need proven hands-on experience with large-scale datasets, cloud platforms like AWS, Azure, or GCP, and machine learning frameworks. Ideal candidates possess a bachelor's or master's degree in Computer Science, Data Engineering, or a related field, along with 5+ years of relevant experience.

  • Expertise in data pipeline development and ETL tools such as Apache Airflow or Talend.
  • Strong proficiency in Apache Kafka and Apache Spark for streaming and batch processing.
  • Demonstrated ability to design scalable data architectures for ML and analytics workloads.
  • Experience leading teams of data professionals and mentoring junior staff.
  • Advanced skills in SQL/NoSQL databases (e.g., PostgreSQL, MongoDB) and performance optimization techniques.
  • Familiarity with cloud services, containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Excellent problem-solving skills and a track record of delivering production-ready data solutions.
  • Strong communication abilities for cross-team collaboration and documentation.

If you're a data engineering expert passionate about advertising tech, AI, and big data, this role is your chance to lead impactful projects at Robert Half.

Why Join Robert Half as a Data Engineer?

At Robert Half, we value innovation, growth, and work-life balance. Enjoy a competitive $100,000+ salary, comprehensive benefits including health insurance, 401(k) matching, and professional development. Work in vibrant Los Angeles, California, United States, with hybrid flexibility and access to state-of-the-art tools. Be part of a team shaping the future of data-driven advertising. Apply now for this full-time Data Engineer position and elevate your career!

Robert Half is an equal opportunity employer. Keywords: Data Engineer jobs Los Angeles, ETL pipelines, Kafka Spark, ML data architecture, cloud data engineering careers CA.

Locations

  • Los Angeles, California, United States

Salary

100,000 - 100,000 USD / yearly

Estimated Salary Rangehigh confidence

100,000 - 150,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Pipelinesintermediate
  • ETL Processesintermediate
  • Scalable Architecturesintermediate
  • Machine Learning Modelsintermediate
  • Apache Kafkaintermediate
  • Apache Sparkintermediate
  • Database Optimizationintermediate
  • Real-time Data Streamingintermediate
  • Cloud Platformsintermediate
  • Data Integrityintermediate

Required Qualifications

  • Hands-on experience with large datasets and cloud platforms (experience)
  • Proficiency in Apache Kafka and Apache Spark (experience)
  • Strong knowledge of machine learning and advanced analytics (experience)
  • Experience leading and mentoring data science teams (experience)
  • Expertise in designing scalable data architectures (experience)
  • Ability to optimize database performance (experience)
  • Skills in building business intelligence tools and dashboards (experience)
  • Familiarity with AI initiatives and data science programs (experience)

Responsibilities

  • Develop and maintain robust data pipelines for ETL processes
  • Design scalable architectures supporting ML models and analytics
  • Collaborate with teams on BI tools, reporting, and dashboards
  • Implement real-time streaming with Kafka and Spark
  • Optimize database performance and data storage
  • Build and manage data science programs for AI
  • Lead and mentor data scientists, ML engineers, and architects
  • Ensure data integrity and accessibility for large datasets
  • Create technical documentation for workflows and architecture
  • Stay current with emerging data technologies

Benefits

  • general: Competitive salary and performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) retirement savings plan with company match
  • general: Generous paid time off and flexible work arrangements
  • general: Professional development opportunities and certifications
  • general: Collaborative and innovative work environment
  • general: Career growth potential at Robert Half
  • general: Access to cutting-edge technologies and tools

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Robert Half logo

Data Engineer - Careers at Robert Half

Robert Half

Data Engineer - Careers at Robert Half

full-timePosted: Feb 3, 2026

Job Description

About the Data Engineer Role at Robert Half

Join Robert Half's dynamic team in Los Angeles, California, as a Data Engineer and play a pivotal role in revolutionizing advertising technologies through cutting-edge data solutions. This full-time position offers an exciting opportunity to design, build, and optimize advanced data infrastructures that power machine learning models, real-time analytics, and innovative business intelligence tools. With a competitive salary starting at $100,000 annually, you'll contribute to a high-impact environment where your expertise in handling large datasets, cloud platforms, and streaming technologies will drive transformative outcomes.

Robert Half is a leader in professional services, connecting top talent with exceptional career opportunities. In this role, you'll collaborate with cross-functional teams including data scientists, machine learning engineers, and business stakeholders to ensure seamless data flow and accessibility. Whether you're passionate about Apache Kafka for real-time streaming or Apache Spark for big data processing, this position allows you to leverage your skills in a fast-paced, innovative setting focused on advertising tech innovation.

Key Responsibilities

  • Develop and maintain robust data pipelines to handle extraction, transformation, and loading (ETL) processes efficiently, ensuring high-quality data for downstream applications.
  • Design scalable architectures that seamlessly support machine learning models and advanced analytics, enabling rapid experimentation and deployment.
  • Collaborate with cross-functional teams to deliver intuitive business intelligence tools, customizable reporting solutions, and interactive analytical dashboards.
  • Implement cutting-edge real-time data streaming solutions using platforms like Apache Kafka and Apache Spark to process high-velocity data streams.
  • Optimize database performance for efficient storage, retrieval, and querying of massive datasets, minimizing latency and maximizing throughput.
  • Build and manage resilient data science programs and personas tailored to support AI initiatives and predictive modeling efforts.
  • Lead and mentor a talented team of data scientists, machine learning engineers, and data architects, fostering a culture of excellence and innovation.
  • Design comprehensive strategies for maintaining large datasets, guaranteeing data integrity, security, and effortless accessibility across the organization.
  • Create detailed technical documentation for all workflows, processes, and system architectures to promote knowledge sharing and operational continuity.
  • Stay ahead of the curve by tracking emerging technologies in data engineering, continuously enhancing practices and introducing efficiencies.

Required Qualifications for Data Engineer

To excel in this Data Engineer role at Robert Half in Los Angeles, CA, you need proven hands-on experience with large-scale datasets, cloud platforms like AWS, Azure, or GCP, and machine learning frameworks. Ideal candidates possess a bachelor's or master's degree in Computer Science, Data Engineering, or a related field, along with 5+ years of relevant experience.

  • Expertise in data pipeline development and ETL tools such as Apache Airflow or Talend.
  • Strong proficiency in Apache Kafka and Apache Spark for streaming and batch processing.
  • Demonstrated ability to design scalable data architectures for ML and analytics workloads.
  • Experience leading teams of data professionals and mentoring junior staff.
  • Advanced skills in SQL/NoSQL databases (e.g., PostgreSQL, MongoDB) and performance optimization techniques.
  • Familiarity with cloud services, containerization (Docker, Kubernetes), and CI/CD pipelines.
  • Excellent problem-solving skills and a track record of delivering production-ready data solutions.
  • Strong communication abilities for cross-team collaboration and documentation.

If you're a data engineering expert passionate about advertising tech, AI, and big data, this role is your chance to lead impactful projects at Robert Half.

Why Join Robert Half as a Data Engineer?

At Robert Half, we value innovation, growth, and work-life balance. Enjoy a competitive $100,000+ salary, comprehensive benefits including health insurance, 401(k) matching, and professional development. Work in vibrant Los Angeles, California, United States, with hybrid flexibility and access to state-of-the-art tools. Be part of a team shaping the future of data-driven advertising. Apply now for this full-time Data Engineer position and elevate your career!

Robert Half is an equal opportunity employer. Keywords: Data Engineer jobs Los Angeles, ETL pipelines, Kafka Spark, ML data architecture, cloud data engineering careers CA.

Locations

  • Los Angeles, California, United States

Salary

100,000 - 100,000 USD / yearly

Estimated Salary Rangehigh confidence

100,000 - 150,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Data Pipelinesintermediate
  • ETL Processesintermediate
  • Scalable Architecturesintermediate
  • Machine Learning Modelsintermediate
  • Apache Kafkaintermediate
  • Apache Sparkintermediate
  • Database Optimizationintermediate
  • Real-time Data Streamingintermediate
  • Cloud Platformsintermediate
  • Data Integrityintermediate

Required Qualifications

  • Hands-on experience with large datasets and cloud platforms (experience)
  • Proficiency in Apache Kafka and Apache Spark (experience)
  • Strong knowledge of machine learning and advanced analytics (experience)
  • Experience leading and mentoring data science teams (experience)
  • Expertise in designing scalable data architectures (experience)
  • Ability to optimize database performance (experience)
  • Skills in building business intelligence tools and dashboards (experience)
  • Familiarity with AI initiatives and data science programs (experience)

Responsibilities

  • Develop and maintain robust data pipelines for ETL processes
  • Design scalable architectures supporting ML models and analytics
  • Collaborate with teams on BI tools, reporting, and dashboards
  • Implement real-time streaming with Kafka and Spark
  • Optimize database performance and data storage
  • Build and manage data science programs for AI
  • Lead and mentor data scientists, ML engineers, and architects
  • Ensure data integrity and accessibility for large datasets
  • Create technical documentation for workflows and architecture
  • Stay current with emerging data technologies

Benefits

  • general: Competitive salary and performance-based bonuses
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) retirement savings plan with company match
  • general: Generous paid time off and flexible work arrangements
  • general: Professional development opportunities and certifications
  • general: Collaborative and innovative work environment
  • general: Career growth potential at Robert Half
  • general: Access to cutting-edge technologies and tools

Target Your Resume for "Data Engineer - Careers at Robert Half" , Robert Half

Get personalized recommendations to optimize your resume specifically for Data Engineer - Careers at Robert Half. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineer - Careers at Robert Half" , Robert Half

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

Robert Half CareersJobs in Los Angeles, CAData EngineerBig DataMachine LearningApache KafkaApache SparkFinanceAccountingAdmin

Answer 10 quick questions to check your fit for Data Engineer - Careers at Robert Half @ Robert Half.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.