Data Engineer 3
Role summary
Cullerton Group seeks a Data Engineer 3 to design, develop, and maintain scalable data solutions using AWS and Snowflake. This remote or hybrid role focuses on data quality, pipeline reliability, and cloud architecture. Responsibilities include troubleshooting data issues, building automation tools for monitoring and alerting, and collaborating with cross-functional teams to ensure high-quality data delivery. The position involves hands-on development, data operations, and problem-solving in a dynamic environment.
Cullerton Group has a new opportunity for a Data Engineer 3.
The work will be done remote (U.S. time zone) or onsite/hybrid depending on the customer’s preference across locations including Chicago, Dallas, Peoria, Champaign, or Westminster. This is a long-term position (12 months with potential extension up to 2 years) that can lead to permanent employment with our client. Compensation is up to
$68/hr
+ full benefits (vision, dental, health insurance, 401k, and holiday pay).
Job Summary
The Data Engineer 3 will support the design, development, and maintenance of scalable data solutions, focusing on data quality, pipeline reliability, and cloud-based data architecture. This role involves working with modern technologies such as AWS and Snowflake to troubleshoot data issues, improve data pipelines, and build automation tools for monitoring and alerting. The engineer will collaborate with cross-functional teams to ensure high-quality, reliable data is delivered to support business operations. This position offers a mix of hands-on development, data operations, and problem-solving in a dynamic environment.
Key Responsibilities
• Design, develop, and maintain data pipelines, ensuring high data quality and reliability
• Troubleshoot and resolve data issues, including root cause analysis and break/fix solutions
• Develop scripts and automation tools using Python to detect and correct data issues
• Build monitoring and alerting systems to proactively identify data pipeline failures
• Collaborate with cross-functional teams to improve data architecture, governance, and performance
Required Qualifications
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 5–7 years of experience in data engineering, data management, or data operations
• Strong experience with AWS services (S3, RDS, Lambda, DynamoDB, SNS, SQS, etc.)
• Experience working with cloud data platforms such as Snowflake
• Strong proficiency in SQL and Python
• Experience with data pipelines, data quality, and data governance processes
Preferred Qualifications
• Experience with AWS SageMaker, CloudWatch, and advanced cloud architecture
• Strong Snowflake experience and data warehousing knowledge
• Experience supporting data operations or Tier 2 data support environments
• Understanding of end-to-end data lifecycle and big data technologies
• Ability to work in a fast-paced, collaborative, and cross-functional environment
Why This Role?
This position offers an opportunity to contribute to meaningful engineering and design work that supports a global leader in heavy machinery and manufacturing. Cullerton Group provides a professional environment with growth potential and a strong partnership with industry-leading organizations.
