Data Engineer

What Employees Are Saying

• "The work you do here directly impacts business decisions-your contributions matter."
• "There's a strong culture of collaboration and continuous improvement."
• "You're given the autonomy to build solutions while being supported by a talented team."

• Meaningful Impact:
  Build data solutions that support enterprise-wide operations and strategy
• Career Growth:
  Strong focus on internal advancement and long-term development
• Modern Technology:
  Work with evolving data platforms, integration tools, and cloud-based architectures

• Design, model, and implement scalable data storage structures and data platform components for structured, semi-structured, and unstructured data, supporting transactional workloads, enterprise reporting, analytics, and hybrid cloud data solutions
• Design, develop, and maintain scalable data pipelines supporting integrations, migrations, and reporting
• Collaborate with stakeholders to define data requirements across operational, financial, and customer domains
• Develop and optimize ETL/ELT processes to ensure data reliability, accuracy, and timeliness
• Implement data quality checks, monitoring, and reconciliation processes to support compliance and audit readiness
• Support reporting and analytics initiatives by creating trusted and consumable datasets
• Document data flows, mappings, and technical designs for maintainability and transparency
• Partner with internal teams and external vendors to align solutions with enterprise standards and best practices

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• 10+ years of experience in data engineering, integration, or analytics roles
• Strong experience in data modeling and architecture across relational and No
  
  SQL databases
• Advanced SQL skills and experience working with large-scale data environments
• Experience supporting enterprise systems (ERP, CRM, billing, or asset management platforms)
• Experience working with cloud-based systems and hybrid architectures

• Experience supporting large-scale system implementations or data platform transitions
• Familiarity with modern cloud data and integration platforms
• Background in regulated industries (e.g., energy, utilities, financial services)
• Strong communication, documentation, and cross-functional collaboration skills