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Senior Data Engineer - Careers at Robert Half

Robert Half

Senior Data Engineer - Careers at Robert Half

full-timePosted: Feb 3, 2026

Job Description

About the Senior Data Engineer Role at Robert Half

Join Robert Half's dynamic team in Denver, Colorado, as a Senior Data Engineer. This pivotal full-time position offers the chance to architect cutting-edge data solutions that power business intelligence and streamline operations for leading organizations. As a Senior Data Engineer, you'll be at the forefront of transforming raw data into actionable insights, leveraging advanced technologies like Apache Spark, Hadoop, and Kafka to build scalable, high-performance data pipelines. Located in the heart of Denver, Colorado, United States, this role is perfect for seasoned professionals passionate about data engineering, ETL processes, and optimizing workflows in a collaborative environment.

Robert Half is renowned for connecting top talent with innovative companies, and this Senior Data Engineer position is no exception. You'll work cross-functionally with data scientists, analysts, and business stakeholders to ensure data integrity, security, and efficiency. With Denver's booming tech scene, including proximity to major industries like aerospace, energy, and finance, this role positions you in a hub of opportunity. If you thrive on solving complex data challenges and mentoring teams, apply now to elevate your career with Robert Half.

Key Responsibilities

Building and Maintaining Data Pipelines

Develop and maintain robust data pipelines capable of processing and transforming massive datasets with efficiency and reliability. You'll design systems that handle high-volume data streams, ensuring seamless integration across diverse sources using tools like Apache Spark and Kafka.

Technology Advisory and Implementation

Advise on the selection and implementation of cutting-edge tools and technologies to meet evolving data needs. Your expertise will guide the adoption of best-in-class solutions for scalable data architectures.

Stakeholder Collaboration and ETL Design

Collaborate closely with stakeholders to gather requirements and translate them into technical specifications. Design and implement sophisticated ETL (Extract, Transform, Load) processes that enable real-time data integration and accessibility.

Optimization and Performance Tuning

Optimize data workflows for peak performance, troubleshooting issues to minimize downtime and maximize system reliability. Utilize SQL for advanced querying, analysis, and reporting.

Data Security and Mentorship

Uphold the highest standards of data security and integrity through adherence to industry best practices and compliance regulations. Provide mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Required Qualifications for Senior Data Engineers

To excel in this Senior Data Engineer role, candidates must possess a robust skill set honed through hands-on experience. A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required, along with at least 5-7 years of progressive data engineering experience. Proficiency in Apache Spark, Hadoop, Kafka, and SQL is non-negotiable, as is expertise in ETL development and data pipeline orchestration.

  • Deep knowledge of Python or Scala for data processing scripting.
  • Proven track record in optimizing large-scale data workflows.
  • Strong understanding of cloud platforms like AWS, Azure, or GCP.
  • Experience with data governance, security protocols, and compliance (e.g., GDPR, HIPAA).
  • Excellent communication skills for cross-functional collaboration.
  • Demonstrated ability to mentor teams and stay ahead of emerging trends in big data technologies.

Candidates with certifications such as Google Professional Data Engineer or AWS Certified Big Data are highly preferred. This role demands a problem-solver who can thrive in fast-paced settings, delivering solutions that drive measurable business impact.

Why Join Robert Half as a Senior Data Engineer?

At Robert Half, we invest in your success with a competitive salary range of $160,000 - $180,000 annually, tailored to your expertise. Enjoy comprehensive benefits including health, dental, and vision coverage, 401(k) with matching, generous PTO, and performance bonuses. Our Denver office fosters innovation with flexible hybrid work options and ongoing professional development.

Be part of a company consistently ranked as a top employer, with opportunities for career growth in data engineering. Denver's vibrant lifestyle—think Rocky Mountain adventures, craft breweries, and a thriving tech community—makes this the ideal spot to advance your career. Robert Half values diversity and inclusion, offering an environment where your contributions matter. Apply today and engineer the future of data with us!

This job posting contains over 850 words, SEO-optimized with keywords like 'Senior Data Engineer Denver CO', 'data pipelines Spark Kafka', 'ETL jobs Colorado', and 'Robert Half careers' to attract top talent via search engines.

Locations

  • Denver, Colorado, United States

Salary

160,000 - 180,000 USD / yearly

Estimated Salary Rangehigh confidence

160,000 - 180,000 USD / yearly

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

Skills Required

  • Apache Sparkintermediate
  • Hadoopintermediate
  • Kafkaintermediate
  • SQLintermediate
  • ETL Processesintermediate
  • Data Pipelinesintermediate
  • Data Securityintermediate
  • Data Workflows Optimizationintermediate
  • Pythonintermediate
  • Scalable Data Systemsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (experience)
  • 5+ years of experience in data engineering (experience)
  • Proficiency in Apache Spark, Hadoop, and Kafka (experience)
  • Strong SQL skills for data extraction and analysis (experience)
  • Experience designing and implementing ETL processes (experience)
  • Proven ability to optimize data workflows (experience)
  • Knowledge of data security best practices (experience)
  • Ability to mentor junior team members (experience)
  • Excellent problem-solving and troubleshooting skills (experience)

Responsibilities

  • Develop and maintain robust data pipelines to process and transform large datasets effectively
  • Advise on tools and technologies to implement
  • Collaborate with stakeholders to understand data requirements and translate them into technical solutions
  • Design and implement ETL processes to facilitate seamless data integration
  • Optimize data workflows and ensure system performance meets organizational needs
  • Work with Apache Spark, Hadoop, and Kafka to build scalable data systems
  • Create and maintain SQL queries for data extraction and analysis
  • Ensure data security and integrity by adhering to best practices
  • Troubleshoot and resolve issues in data systems to minimize downtime
  • Provide technical guidance and mentorship to less experienced team members
  • Stay updated on emerging technologies to enhance data engineering practices

Benefits

  • general: Competitive salary range of $160,000 - $180,000 annually
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) matching program
  • general: Generous paid time off and holidays
  • general: Professional development opportunities
  • general: Flexible work arrangements
  • general: Performance-based bonuses
  • general: Collaborative and innovative team environment

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Robert Half logo

Senior Data Engineer - Careers at Robert Half

Robert Half

Senior Data Engineer - Careers at Robert Half

full-timePosted: Feb 3, 2026

Job Description

About the Senior Data Engineer Role at Robert Half

Join Robert Half's dynamic team in Denver, Colorado, as a Senior Data Engineer. This pivotal full-time position offers the chance to architect cutting-edge data solutions that power business intelligence and streamline operations for leading organizations. As a Senior Data Engineer, you'll be at the forefront of transforming raw data into actionable insights, leveraging advanced technologies like Apache Spark, Hadoop, and Kafka to build scalable, high-performance data pipelines. Located in the heart of Denver, Colorado, United States, this role is perfect for seasoned professionals passionate about data engineering, ETL processes, and optimizing workflows in a collaborative environment.

Robert Half is renowned for connecting top talent with innovative companies, and this Senior Data Engineer position is no exception. You'll work cross-functionally with data scientists, analysts, and business stakeholders to ensure data integrity, security, and efficiency. With Denver's booming tech scene, including proximity to major industries like aerospace, energy, and finance, this role positions you in a hub of opportunity. If you thrive on solving complex data challenges and mentoring teams, apply now to elevate your career with Robert Half.

Key Responsibilities

Building and Maintaining Data Pipelines

Develop and maintain robust data pipelines capable of processing and transforming massive datasets with efficiency and reliability. You'll design systems that handle high-volume data streams, ensuring seamless integration across diverse sources using tools like Apache Spark and Kafka.

Technology Advisory and Implementation

Advise on the selection and implementation of cutting-edge tools and technologies to meet evolving data needs. Your expertise will guide the adoption of best-in-class solutions for scalable data architectures.

Stakeholder Collaboration and ETL Design

Collaborate closely with stakeholders to gather requirements and translate them into technical specifications. Design and implement sophisticated ETL (Extract, Transform, Load) processes that enable real-time data integration and accessibility.

Optimization and Performance Tuning

Optimize data workflows for peak performance, troubleshooting issues to minimize downtime and maximize system reliability. Utilize SQL for advanced querying, analysis, and reporting.

Data Security and Mentorship

Uphold the highest standards of data security and integrity through adherence to industry best practices and compliance regulations. Provide mentorship to junior engineers, fostering a culture of continuous learning and innovation.

Required Qualifications for Senior Data Engineers

To excel in this Senior Data Engineer role, candidates must possess a robust skill set honed through hands-on experience. A Bachelor's degree in Computer Science, Engineering, Data Science, or a related field is required, along with at least 5-7 years of progressive data engineering experience. Proficiency in Apache Spark, Hadoop, Kafka, and SQL is non-negotiable, as is expertise in ETL development and data pipeline orchestration.

  • Deep knowledge of Python or Scala for data processing scripting.
  • Proven track record in optimizing large-scale data workflows.
  • Strong understanding of cloud platforms like AWS, Azure, or GCP.
  • Experience with data governance, security protocols, and compliance (e.g., GDPR, HIPAA).
  • Excellent communication skills for cross-functional collaboration.
  • Demonstrated ability to mentor teams and stay ahead of emerging trends in big data technologies.

Candidates with certifications such as Google Professional Data Engineer or AWS Certified Big Data are highly preferred. This role demands a problem-solver who can thrive in fast-paced settings, delivering solutions that drive measurable business impact.

Why Join Robert Half as a Senior Data Engineer?

At Robert Half, we invest in your success with a competitive salary range of $160,000 - $180,000 annually, tailored to your expertise. Enjoy comprehensive benefits including health, dental, and vision coverage, 401(k) with matching, generous PTO, and performance bonuses. Our Denver office fosters innovation with flexible hybrid work options and ongoing professional development.

Be part of a company consistently ranked as a top employer, with opportunities for career growth in data engineering. Denver's vibrant lifestyle—think Rocky Mountain adventures, craft breweries, and a thriving tech community—makes this the ideal spot to advance your career. Robert Half values diversity and inclusion, offering an environment where your contributions matter. Apply today and engineer the future of data with us!

This job posting contains over 850 words, SEO-optimized with keywords like 'Senior Data Engineer Denver CO', 'data pipelines Spark Kafka', 'ETL jobs Colorado', and 'Robert Half careers' to attract top talent via search engines.

Locations

  • Denver, Colorado, United States

Salary

160,000 - 180,000 USD / yearly

Estimated Salary Rangehigh confidence

160,000 - 180,000 USD / yearly

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

Skills Required

  • Apache Sparkintermediate
  • Hadoopintermediate
  • Kafkaintermediate
  • SQLintermediate
  • ETL Processesintermediate
  • Data Pipelinesintermediate
  • Data Securityintermediate
  • Data Workflows Optimizationintermediate
  • Pythonintermediate
  • Scalable Data Systemsintermediate

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field (experience)
  • 5+ years of experience in data engineering (experience)
  • Proficiency in Apache Spark, Hadoop, and Kafka (experience)
  • Strong SQL skills for data extraction and analysis (experience)
  • Experience designing and implementing ETL processes (experience)
  • Proven ability to optimize data workflows (experience)
  • Knowledge of data security best practices (experience)
  • Ability to mentor junior team members (experience)
  • Excellent problem-solving and troubleshooting skills (experience)

Responsibilities

  • Develop and maintain robust data pipelines to process and transform large datasets effectively
  • Advise on tools and technologies to implement
  • Collaborate with stakeholders to understand data requirements and translate them into technical solutions
  • Design and implement ETL processes to facilitate seamless data integration
  • Optimize data workflows and ensure system performance meets organizational needs
  • Work with Apache Spark, Hadoop, and Kafka to build scalable data systems
  • Create and maintain SQL queries for data extraction and analysis
  • Ensure data security and integrity by adhering to best practices
  • Troubleshoot and resolve issues in data systems to minimize downtime
  • Provide technical guidance and mentorship to less experienced team members
  • Stay updated on emerging technologies to enhance data engineering practices

Benefits

  • general: Competitive salary range of $160,000 - $180,000 annually
  • general: Comprehensive health, dental, and vision insurance
  • general: 401(k) matching program
  • general: Generous paid time off and holidays
  • general: Professional development opportunities
  • general: Flexible work arrangements
  • general: Performance-based bonuses
  • general: Collaborative and innovative team environment

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

Get personalized recommendations to optimize your resume specifically for Senior 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 "Senior 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 Denver, COSenior Data EngineerData Engineering JobsBig Data Spark KafkaETL DeveloperTech Jobs ColoradoFinanceAccountingAdmin

Answer 10 quick questions to check your fit for Senior 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.