Senior Data Engineer

Salas O’Brien | Digital & AI

Reports To: Director, Data Engineering & Architecture
Location: Remote (United States)
Travel: Up to 10%
Compensation: $120,000-$140,000 base salary, eligible for performance bonus

About Salas O’Brien

At Salas O’Brien, we tell our clients that we’re engineered for impact. This passion for making a difference applies just as much to our team as it does to our projects. That’s why we’re committed to living our values every day: inspiring, achieving, and connecting as shared owners of our success with a focus on a sustainable future.

Building for the long term means that all of our team members can expect to work on meaningful projects with a people-first approach to problem-solving. It also means each team member has limitless potential to build a unique, high-impact career while sharing in our collective success.

Founded in 1975, Salas O’Brien is an employee-owned engineering and professional services firm focused on achieving impact for our clients, our team members, and the world. We provide integrated engineering, consulting, and technical services across a wide range of industries, including healthcare, data centers, science and technology, education, infrastructure, energy, and the built environment.

As one of the fastest-growing engineering firms in North America, Salas O’Brien continues to grow through strategic acquisitions, innovation, and operational excellence. Our Digital & AI organization is building enterprise capabilities that transform how data is managed, analyzed, and leveraged to support business performance and future growth.

Job Summary

The Senior Data Engineer is responsible for designing, building, and maintaining the enterprise data infrastructure that powers analytics, reporting, artificial intelligence, and operational decision-making across Salas O’Brien. This role serves as a key contributor within the Data Engineering & Architecture team and is responsible for transforming data from diverse business systems into trusted, scalable, and accessible enterprise data products.

As Salas O’Brien continues to expand through acquisitions and digital transformation initiatives, the Senior Data Engineer will play a critical role in integrating new data sources, improving data quality, and delivering scalable solutions that support enterprise growth. This position partners closely with Data & Information Architects, Data Governance professionals, AI engineers, analysts, and business stakeholders to ensure enterprise data assets are secure, reliable, and aligned with business needs.

This role is ideal for a hands-on engineer who enjoys solving complex integration challenges, building modern cloud-based data solutions, and creating high-quality data products that drive business value.

What Success Looks Like

Builds and maintains reliable data pipelines, integrations, and enterprise data infrastructure that transform fragmented source systems into trusted business assets. Delivers scalable, well-documented, and high-quality data products that support reporting, analytics, operational decision-making, and AI initiatives.

Success is measured through:

• Reliable and trusted enterprise data products used across the organization.
• Successful onboarding and integration of new business systems and acquired entities.
• Improved data quality, accessibility, and consistency across platforms.
• Strong platform performance, scalability, and operational reliability.
• Effective partnership with architects, governance leaders, and business stakeholders.
• Delivery of enterprise data solutions that accelerate reporting, analytics, and AI capabilities.

Responsibilities

Enterprise Data Pipeline Development

• Design, develop, and maintain scalable data pipelines that support enterprise reporting, analytics, and AI workloads.
• Integrate data from a variety of business systems including ERP, CRM, HRIS, Deltek Vantagepoint, SharePoint, financial systems, and engineering applications.
• Develop ingestion, transformation, and data delivery processes that support enterprise business requirements.
• Build and maintain data workflows that support both batch and near real-time processing needs.
• Ensure data pipelines are reliable, maintainable, and scalable as business demands evolve.

Data Platform Engineering

• Develop and support enterprise lakehouse and cloud-based data platforms.
• Implement data storage, processing, and transformation solutions that support enterprise analytics and AI initiatives.
• Optimiz