Data Engineer

Join a results-driven organization where data is treated as a strategic asset powering business performance and decision-making. This team operates with a strong, value-oriented mindset—leveraging data engineering to drive efficiency, improve customer outcomes, and enable scalable growth. Collaboration between technical teams and business stakeholders ensures that data solutions directly support operational excellence and long-term success.

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.”

Title: Data Engineer
Location: Buffalo, NY
Salary: $90,000 – $125,000 + bonus potential

Why Work Here

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

Responsibilities

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

Qualifications

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 NoSQL 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

Preferred:

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