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Data Engineer - Careers at Robert Half

Robert Half

Data Engineer - Careers at Robert Half

contractPosted: Feb 4, 2026

Job Description

About the Data Engineer Role at Robert Half

Join Robert Half as a Data Engineer in the heart of Los Angeles, California, United States. This long-term contract position offers a hybrid schedule—2 days remote and 3 days on-site—providing the perfect balance of collaboration and flexibility. As a Data Engineer, you will play a pivotal role in designing, building, and maintaining robust data infrastructure that powers business operations and advanced analytics. Working with cutting-edge big data technologies, you will contribute to high-impact projects that drive organizational success. If you are passionate about scalable data solutions, real-time streaming, and optimizing data workflows, this Data Engineer job in Los Angeles is your chance to excel in a dynamic environment.

Robert Half is a leader in staffing and consulting, connecting top talent with innovative companies. This role is ideal for experienced Data Engineers seeking long-term stability, professional growth, and the opportunity to work on transformative data initiatives. With a competitive hourly rate of $55.41 (translating to approximately $115,000 annually), this position rewards expertise in data engineering while offering exposure to enterprise-level challenges.

Key Responsibilities

In this Data Engineer position, your responsibilities will span the full data lifecycle, from ingestion to analytics:

  • Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies to handle massive datasets efficiently.
  • Collaborate with cross-functional teams—including data scientists, analysts, and business stakeholders—to translate complex business requirements into robust technical solutions.
  • Create and maintain ETL (Extract, Transform, Load) processes ensuring data integrity, accessibility, and quality across all systems.
  • Optimize data systems and workflows for superior performance, reliability, and cost-efficiency in high-volume environments.
  • Manage and monitor large-scale data processing systems, proactively identifying and resolving bottlenecks for seamless 24/7 operations.
  • Design and deploy real-time data streaming solutions using Apache Kafka to enable instant insights and responsive applications.
  • Perform advanced data analytics to uncover actionable insights that support strategic business decision-making.
  • Troubleshoot and resolve critical issues in data infrastructure and applications, minimizing downtime and ensuring business continuity.
  • Document all processes meticulously and provide technical guidance and mentorship to team members.
  • Ensure full compliance with data governance policies, security standards, and regulatory requirements like GDPR or CCPA.

Required Qualifications for Data Engineer

To succeed in this Data Engineer role with Robert Half in Los Angeles, CA, you need:

  • Proven experience (3+ years) with big data tools including Apache Spark, Hadoop, and Kafka.
  • Strong expertise in ETL development and data pipeline orchestration.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and SQL/NoSQL databases.
  • Excellent programming skills in Python, Scala, or Java.
  • Demonstrated ability to handle real-time data streaming and large-scale processing.
  • Solid understanding of data warehousing, modeling, and governance best practices.
  • Experience in performance tuning and troubleshooting complex data environments.
  • Strong communication skills for cross-team collaboration.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
  • Availability for hybrid work in Los Angeles, California.

Bonus points for certifications in Spark, Kafka, or cloud data services, and experience in industries like tech, finance, or e-commerce.

Why Join Us at Robert Half?

Choosing Robert Half means joining a prestigious firm renowned for placing elite talent in top-tier roles. This Data Engineer contract offers not just competitive pay but also the chance to work on innovative projects with modern tech stacks. Enjoy a hybrid model that supports work-life balance, professional development opportunities, and the vibrancy of Los Angeles. Be part of a team driving data innovation—apply now and elevate your career! For fastest response, connect with Jimmy Escobar on LinkedIn or email Jimmy.Escobar@roberthalf.com with your resume, or call 424-270-9193.

SEO Keywords: Data Engineer Los Angeles, Spark Hadoop Jobs CA, Kafka Data Streaming Careers, ETL Pipeline Engineer, Big Data Robert Half, Hybrid Data Jobs USA.

Locations

  • Los Angeles, California, United States

Salary

115,273 - 115,273 USD / yearly

Estimated Salary Rangehigh confidence

115,000 - 130,000 USD / yearly

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

Skills Required

  • Apache Sparkintermediate
  • Hadoopintermediate
  • ETL processesintermediate
  • Apache Kafkaintermediate
  • Data pipelinesintermediate
  • Big data technologiesintermediate
  • Data analyticsintermediate
  • Data governanceintermediate
  • Data infrastructureintermediate
  • Scalable data systemsintermediate

Required Qualifications

  • Experience developing scalable data pipelines using Apache Spark and Hadoop (experience)
  • Proficiency in creating and maintaining ETL processes (experience)
  • Strong skills in real-time data streaming with Apache Kafka (experience)
  • Ability to optimize data systems for performance and reliability (experience)
  • Experience managing large-scale data processing systems (experience)
  • Background in advanced data analytics (experience)
  • Knowledge of data governance and security standards (experience)
  • Excellent problem-solving and troubleshooting skills (experience)
  • Strong collaboration with cross-functional teams (experience)
  • Ability to document processes and provide technical guidance (experience)

Responsibilities

  • Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies
  • Collaborate with cross-functional teams to understand and translate business requirements into technical solutions
  • Create and maintain ETL processes to ensure data integrity and accessibility
  • Optimize data systems and workflows for improved performance and reliability
  • Manage and monitor large-scale data processing systems, ensuring seamless operation
  • Design and deploy solutions for real-time data streaming using Apache Kafka
  • Perform advanced data analytics to support business decision-making
  • Troubleshoot and resolve issues related to data infrastructure and applications
  • Document processes and provide technical guidance to team members
  • Ensure compliance with data governance and security standards

Benefits

  • general: Long-term contract opportunity with stability
  • general: Hybrid work model: 3 days on-site, 2 days remote
  • general: Work with cutting-edge technologies like Spark, Hadoop, and Kafka
  • general: Collaborate with cross-functional teams on impactful projects
  • general: Support business operations and analytics initiatives
  • general: Professional growth through technical challenges
  • general: Competitive compensation package
  • general: Opportunity to contribute to data-driven decision-making
  • general: Access to Robert Half's extensive resources and network
  • general: Flexible work-life balance in a dynamic environment

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Robert Half logo

Data Engineer - Careers at Robert Half

Robert Half

Data Engineer - Careers at Robert Half

contractPosted: Feb 4, 2026

Job Description

About the Data Engineer Role at Robert Half

Join Robert Half as a Data Engineer in the heart of Los Angeles, California, United States. This long-term contract position offers a hybrid schedule—2 days remote and 3 days on-site—providing the perfect balance of collaboration and flexibility. As a Data Engineer, you will play a pivotal role in designing, building, and maintaining robust data infrastructure that powers business operations and advanced analytics. Working with cutting-edge big data technologies, you will contribute to high-impact projects that drive organizational success. If you are passionate about scalable data solutions, real-time streaming, and optimizing data workflows, this Data Engineer job in Los Angeles is your chance to excel in a dynamic environment.

Robert Half is a leader in staffing and consulting, connecting top talent with innovative companies. This role is ideal for experienced Data Engineers seeking long-term stability, professional growth, and the opportunity to work on transformative data initiatives. With a competitive hourly rate of $55.41 (translating to approximately $115,000 annually), this position rewards expertise in data engineering while offering exposure to enterprise-level challenges.

Key Responsibilities

In this Data Engineer position, your responsibilities will span the full data lifecycle, from ingestion to analytics:

  • Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies to handle massive datasets efficiently.
  • Collaborate with cross-functional teams—including data scientists, analysts, and business stakeholders—to translate complex business requirements into robust technical solutions.
  • Create and maintain ETL (Extract, Transform, Load) processes ensuring data integrity, accessibility, and quality across all systems.
  • Optimize data systems and workflows for superior performance, reliability, and cost-efficiency in high-volume environments.
  • Manage and monitor large-scale data processing systems, proactively identifying and resolving bottlenecks for seamless 24/7 operations.
  • Design and deploy real-time data streaming solutions using Apache Kafka to enable instant insights and responsive applications.
  • Perform advanced data analytics to uncover actionable insights that support strategic business decision-making.
  • Troubleshoot and resolve critical issues in data infrastructure and applications, minimizing downtime and ensuring business continuity.
  • Document all processes meticulously and provide technical guidance and mentorship to team members.
  • Ensure full compliance with data governance policies, security standards, and regulatory requirements like GDPR or CCPA.

Required Qualifications for Data Engineer

To succeed in this Data Engineer role with Robert Half in Los Angeles, CA, you need:

  • Proven experience (3+ years) with big data tools including Apache Spark, Hadoop, and Kafka.
  • Strong expertise in ETL development and data pipeline orchestration.
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and SQL/NoSQL databases.
  • Excellent programming skills in Python, Scala, or Java.
  • Demonstrated ability to handle real-time data streaming and large-scale processing.
  • Solid understanding of data warehousing, modeling, and governance best practices.
  • Experience in performance tuning and troubleshooting complex data environments.
  • Strong communication skills for cross-team collaboration.
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
  • Availability for hybrid work in Los Angeles, California.

Bonus points for certifications in Spark, Kafka, or cloud data services, and experience in industries like tech, finance, or e-commerce.

Why Join Us at Robert Half?

Choosing Robert Half means joining a prestigious firm renowned for placing elite talent in top-tier roles. This Data Engineer contract offers not just competitive pay but also the chance to work on innovative projects with modern tech stacks. Enjoy a hybrid model that supports work-life balance, professional development opportunities, and the vibrancy of Los Angeles. Be part of a team driving data innovation—apply now and elevate your career! For fastest response, connect with Jimmy Escobar on LinkedIn or email Jimmy.Escobar@roberthalf.com with your resume, or call 424-270-9193.

SEO Keywords: Data Engineer Los Angeles, Spark Hadoop Jobs CA, Kafka Data Streaming Careers, ETL Pipeline Engineer, Big Data Robert Half, Hybrid Data Jobs USA.

Locations

  • Los Angeles, California, United States

Salary

115,273 - 115,273 USD / yearly

Estimated Salary Rangehigh confidence

115,000 - 130,000 USD / yearly

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

Skills Required

  • Apache Sparkintermediate
  • Hadoopintermediate
  • ETL processesintermediate
  • Apache Kafkaintermediate
  • Data pipelinesintermediate
  • Big data technologiesintermediate
  • Data analyticsintermediate
  • Data governanceintermediate
  • Data infrastructureintermediate
  • Scalable data systemsintermediate

Required Qualifications

  • Experience developing scalable data pipelines using Apache Spark and Hadoop (experience)
  • Proficiency in creating and maintaining ETL processes (experience)
  • Strong skills in real-time data streaming with Apache Kafka (experience)
  • Ability to optimize data systems for performance and reliability (experience)
  • Experience managing large-scale data processing systems (experience)
  • Background in advanced data analytics (experience)
  • Knowledge of data governance and security standards (experience)
  • Excellent problem-solving and troubleshooting skills (experience)
  • Strong collaboration with cross-functional teams (experience)
  • Ability to document processes and provide technical guidance (experience)

Responsibilities

  • Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies
  • Collaborate with cross-functional teams to understand and translate business requirements into technical solutions
  • Create and maintain ETL processes to ensure data integrity and accessibility
  • Optimize data systems and workflows for improved performance and reliability
  • Manage and monitor large-scale data processing systems, ensuring seamless operation
  • Design and deploy solutions for real-time data streaming using Apache Kafka
  • Perform advanced data analytics to support business decision-making
  • Troubleshoot and resolve issues related to data infrastructure and applications
  • Document processes and provide technical guidance to team members
  • Ensure compliance with data governance and security standards

Benefits

  • general: Long-term contract opportunity with stability
  • general: Hybrid work model: 3 days on-site, 2 days remote
  • general: Work with cutting-edge technologies like Spark, Hadoop, and Kafka
  • general: Collaborate with cross-functional teams on impactful projects
  • general: Support business operations and analytics initiatives
  • general: Professional growth through technical challenges
  • general: Competitive compensation package
  • general: Opportunity to contribute to data-driven decision-making
  • general: Access to Robert Half's extensive resources and network
  • general: Flexible work-life balance in a dynamic environment

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 Engineer JobsBig Data CareersHybrid Tech JobsSpark Hadoop KafkaLos Angeles Tech JobsContract Data EngineeringFinanceAccountingAdmin

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.