The IT Data Engineer I is an entry-level position within the Enterprise Data department, reporting to a designated team manager. This role supports various functions across data management, data governance, and the enterprise data warehouse, depending on team placement. Responsibilities may include designing and implementing ETL solutions, developing and monitoring data pipelines, conducting data validations, and supporting data quality and stewardship efforts. The position collaborates with cross-functional teams to ensure data is accurate, reliable, and aligned with business and compliance requirements.

JOB DUTIES

• Supporting and maintaining the company’s enterprise data systems and processes, including those used to store, validate, move, and monitor data across platforms
• Designing and coding ETL (extract, transform, load) and other data pipeline solutions to support integrations and the enterprise data warehouse, leveraging appropriate tools based on team assignment and system needs
• Conducting data validation and reconciliation tasks to ensure data quality, consistency, and integrity across systems and reporting layers
• Assisting in data governance activities such as data quality monitoring, metadata management, and adherence to data standards and policies
• Responding to stakeholder data requests, troubleshooting issues, and providing support for data systems, tools, and workflows across the enterprise
• Participating in after-hours on-call rotations to resolve urgent data issues and ensure uptime for critical systems
• Identifying and analyzing opportunities to improve data processing efficiency, scalability, and system performance
• Collaborating across departments with engineers, analysts, and business partners to ensure solutions meet operational and analytical requirements
• Performing other duties as assigned, including contributing to special projects or cross-functional initiatives based on organizational priorities
  
  

QUALIFICATIONS

• Bachelor’s degree in Computer Science, Information Technology, Data Analytics, Mathematics, or a related field; equivalent experience will be considered
• Up to 2 years of experience working with data platforms and data warehouses, including development and maintenance
• Familiarity with data structures and formats such as ANSI X12, JSON, and XML
• Understanding of ETL processes across data warehouses and integration systems
• Proficiency with SQL and scripting for data manipulation and querying
• Exposure to cloud platforms such as Azure, AWS, or Oracle Cloud
• Experience with tools such as Azure Data Factory, Databricks, Azure DevOps, SSMS, SSIS, and SSRS
• Strong communication skills, with the ability to convey technical information to non-technical stakeholders
• Detail-oriented, with the ability to work efficiently in a fast-paced environment
• Capable of working independently and collaboratively, with a proactive approach to tasks and problem-solving
• Ability to work flexible and/or extended hours, if needed, to meet the job requirements
• Employees must provide their own reliable internet if working a remote/hybrid position
  
  

The incumbent typically works in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. The noise level in the work environment is typical of that of an office. Incumbent may encounter frequent interruptions throughout the workday. The employee is regularly required to sit, talk, or hear; frequently required to use repetitive hand motion, handle or feel, and to stand, walk, reach, bend or lift up to 20 pounds. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.