Senior Data Engineer
<p>We are looking for an experienced Senior Data Engineer to join our team in Denver, Colorado. In this role, you will design and implement data solutions that drive business insights and operational efficiency. You will collaborate with cross-functional teams to manage data pipelines, optimize workflows, and ensure the integrity and security of data systems.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain robust data pipelines to process and transform large datasets effectively.</p><p>• Advise on tools / technologies to implement. </p><p>• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.</p><p>• Design and implement ETL processes to facilitate seamless data integration.</p><p>• Optimize data workflows and ensure system performance meets organizational needs.</p><p>• Work with Apache Spark, Hadoop, and Kafka to build scalable data systems.</p><p>• Create and maintain SQL queries for data extraction and analysis.</p><p>• Ensure data security and integrity by adhering to best practices.</p><p>• Troubleshoot and resolve issues in data systems to minimize downtime.</p><p>• Provide technical guidance and mentorship to less experienced team members.</p><p>• Stay updated on emerging technologies to enhance data engineering practices.</p>
<p>• At least 7 years of experience in data engineering or a related field.</p><p>• Experience working with data on prem, cloud, and 3rd party environments </p><p>• Strong knowledge of Python programming for data processing tasks.</p><p>• Hands-on experience with ETL processes and tools.</p><p>• Expertise in SQL for data manipulation and querying.</p><p>• Familiarity with Microsoft Fabric and its applications.</p><p>• Ability to design scalable and secure data systems.</p><p>• Excellent problem-solving skills and attention to detail.</p>
<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.<sup>®</sup></h3>
<p>Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.</p>
<p>Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more.</p>
<p>All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information.</p>
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- Denver, CO
- onsite
- Permanent
-
160000.00 - 180000.00 USD / Yearly
- <p>We are looking for an experienced Senior Data Engineer to join our team in Denver, Colorado. In this role, you will design and implement data solutions that drive business insights and operational efficiency. You will collaborate with cross-functional teams to manage data pipelines, optimize workflows, and ensure the integrity and security of data systems.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain robust data pipelines to process and transform large datasets effectively.</p><p>• Advise on tools / technologies to implement. </p><p>• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.</p><p>• Design and implement ETL processes to facilitate seamless data integration.</p><p>• Optimize data workflows and ensure system performance meets organizational needs.</p><p>• Work with Apache Spark, Hadoop, and Kafka to build scalable data systems.</p><p>• Create and maintain SQL queries for data extraction and analysis.</p><p>• Ensure data security and integrity by adhering to best practices.</p><p>• Troubleshoot and resolve issues in data systems to minimize downtime.</p><p>• Provide technical guidance and mentorship to less experienced team members.</p><p>• Stay updated on emerging technologies to enhance data engineering practices.</p>
- 2026-01-24T00:08:39Z