IT Data Engineer

Consumer Direct Care Network is a growing company focused on providing home and community-based services for individuals with disabilities and older adults. They are seeking an IT Data Engineer to support data management, governance, and the enterprise data warehouse, including designing ETL solutions and ensuring data quality. This role involves collaboration with cross-functional teams to maintain accurate and reliable data systems.

Responsibilities:

• 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

Requirements:

• 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