Data Engineer

We are looking for an experienced Data Engineer to join a long-term contract engagement in Colorado. This position centers on designing and improving cloud-based data solutions that support enterprise analytics and AI-driven initiatives. The role is ideal for a hands-on, detail-oriented individual who excels in preparing reliable, scalable data assets and partnering with technical teams in a modern Microsoft-focused environment.

Responsibilities:
• Design, develop, and enhance scalable data pipelines to support enterprise reporting, analytics, and AI use cases.
• Transform, cleanse, and organize complex data from multiple sources so it can be used effectively by downstream engineering and machine learning teams.
• Build and maintain robust data workflows in a cloud-based ecosystem using Microsoft Fabric, Synapse Analytics, Azure Data Factory, and Databricks.
• Collaborate with data engineers, ML engineers, and other technical stakeholders to create efficient and dependable data architecture.
• Monitor pipeline performance and resolve issues related to data quality, reliability, and processing efficiency across platforms.
• Orchestrate data ingestion, movement, and transformation processes for large-volume datasets in a backend-focused engineering environment.
• Support AI and machine learning initiatives by delivering well-structured datasets optimized for model development and operational use.
• Contribute to scalable lakehouse or warehouse-oriented data solutions while helping align engineering practices with cloud data best practices.

Qualifications:

• 7+ years of experience in data engineering or a closely related technical field.
• Strong programming ability in Python and solid experience developing enterprise-grade ETL and data integration solutions.
• Hands-on expertise with Microsoft Fabric and practical experience working with Synapse Analytics and Azure Data Factory.
• Proven experience using Databricks to build, manage, and optimize large-scale data processing solutions.
• Strong understanding of cloud-based data engineering principles, including pipeline design, orchestration, and performance tuning.
• Experience working with large datasets and distributed processing technologies such as Apache Spark or PySpark.
• Familiarity with modern data platforms and architectures, including lakehouse, data warehouse, or hybrid cloud data environments.
• Working knowledge of tools and technologies such as Microsoft SQL, Apache Kafka, or Hadoop is beneficial.

Compensation

$63.34-$73.34 Hourly

About Us

Technology Doesn't Change the World, People Do.^®

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.

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. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more.

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 roberthalf.gobenefits.net for more information.

© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to Robert Half’s Terms of Use and Privacy Notice.