Jr./Mid Level Data Engineer

Jr./Mid-Level Data Engineer
Remote (Utah only for the start if search)
Contract-to-Hire (6 months)
Pay Rate: $45-$65/hr ($85k-$115k conversion)


well-established organization in the transportation and services space is focused on leveraging technology and data to improve operational efficiency and customer outcomes. With a strong national presence, the company is continuing to invest in modernizing its data environment and building scalable solutions to support growth and analytics across the business.



Job Description:
n organization is looking to bring on a Data Engineer to support their internal data initiatives. This role will be focused on developing and improving data pipelines, supporting cloud-based data platforms, and helping ensure data is accessible and reliable for reporting and business use.
This is a hands-on opportunity for someone with strong SQL and cloud experience who enjoys working in a collaborative environment and contributing to ongoing improvements in data processes.



Required Skills:
• 2-5 years of experience working with data systems, databases, or related technologies
• Strong SQL experience, including query development, optimization, and troubleshooting
• Experience working within cloud environments such as AWS, including services like relational databases and data warehouses
• Experience building, maintaining, or enhancing data pipelines and workflows
• Familiarity with data integration, validation, and performance tuning concepts
• Ability to partner with internal teams to support data-related needs
• Strong attention to detail and problem-solving skills
• Comfortable working in a remote, team-oriented environment



Bonus / Soft Skills:
• Exposure to additional cloud platforms such as Azure
• Experience with other database technologies like SQL Server
• Familiarity with ETL processes or data integration concepts
• Strong documentation habits and process improvement mindset
• Self-motivated with a sense of ownership
• Effective communicator who works well across teams


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