Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Designing and maintaining enterprise data infrastructure to power analytics, reporting, and AI initiatives with an accent on scalable pipeline development and data integration. Focus on transforming fragmented business systems into trusted data products and ensuring platform reliability in a fast-growing engineering firm.

Location: Must be based in the United States

Salary: $120,000–$140,000 USD

Company

Salas O’Brien is an employee-owned engineering and professional services firm providing integrated technical services across diverse industries including energy, infrastructure, and science.

What you will do

• Design and maintain scalable data pipelines for enterprise reporting, analytics, and AI workloads.
• Integrate data from diverse business systems including ERP, CRM, and financial platforms.
• Develop and support cloud-based lakehouse data platforms.
• Implement data quality controls, automated testing, and observability solutions.
• Collaborate with architects and governance leaders to implement master data strategies.
• Support machine learning and advanced analytics initiatives through high-quality data assets.

Requirements

• Must be authorized to work in the United States without sponsorship
• Bachelor’s degree in Computer Science, Information Systems, or related field
• 6+ years of professional data engineering experience
• Advanced proficiency in SQL and Python
• Experience with cloud-based data platforms and enterprise data environments
• Strong understanding of data modeling, ETL/ELT, and data quality management

Nice to have

• Experience with Databricks, Delta Lake, Azure Data Services, or Microsoft Fabric
• Knowledge of graph databases like Neo4j
• Familiarity with governance frameworks such as SOC 2, CMMC, or HIPAA
• Experience in professional services, engineering, or consulting industries

Culture & Benefits

• Comprehensive benefits including medical, dental, and vision insurance
• 401(k) retirement plan with company match
• Employee ownership participation
• Paid time off and company holidays
• Professional development and learning opportunities