Senior Data Engineer

About the role

The Senior Data Engineer at Salas O’Brien is responsible for designing, building, and maintaining the enterprise data infrastructure that powers analytics, reporting, artificial intelligence, and operational decision-making across the firm.

Responsibilities

• 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.
• Develop and support enterprise lakehouse and cloud-based data platforms.
• Implement data storage, processing, and transformation solutions that support enterprise analytics and AI initiatives.
• Optimize data performance, scalability, and resource utilization.
• Support metadata management, lineage tracking, and enterprise data catalog capabilities.
• Participate in platform architecture discussions and technical design reviews.
• Implement data quality controls, validation processes, and monitoring solutions.
• Identify and resolve data integrity issues across enterprise systems.
• Develop automated testing and observability capabilities to improve platform reliability.
• Maintain documentation supporting enterprise data products and processes.
• Collaborate with Data & Information Architects to implement enterprise data models and master data strategies.
• Support development of enterprise business entities and authoritative data sources.
• Implement integration standards and patterns that promote consistency across platforms.
• Assist with onboarding and integration of acquired companies and business units.
• Enable AI, analytics, and business enablement by partnering with AI engineers, analysts, and business stakeholders.
• Partner with Data & AI Governance leaders to ensure compliance requirements are operationalized through technology.
• Support secure handling of sensitive business and client information.
• Maintain documentation supporting governance and compliance initiatives.
• Contribute to engineering standards, best practices, and documentation.
• Participate in code reviews, architecture discussions, and technical planning sessions.
• Share knowledge and mentor junior team members as the organization grows.
• Identify opportunities to improve processes, automation, and engineering efficiency.
• Promote a culture of collaboration, accountability, and continuous learning.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline.
• 6+ years of professional data engineering experience.
• Strong experience designing, developing, and supporting production data pipelines.
• Advanced proficiency in SQL and Python.
• Experience working with cloud-based data platforms and enterprise data environments.
• Experience integrating multiple business systems and data sources.
• Strong understanding of: Data engineering principles, Data modeling, ETL/ELT development, Data quality management, Enterprise reporting and analytics.
• Experience working with large datasets and complex data structures.
• Excellent analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Skills

• With Databricks, Delta Lake, Azure Data Services, Microsoft Fabric, or comparable cloud platforms.
• Experience with graph databases such as Neo4j or similar technologies.
• Experience supporting enterprise analytics, AI, and machine learning initiatives.
• Familiarity with master data management and enterprise data architecture concepts.
• Experience integrating systems in acquisition-driven or highly decentralized organizations.
• Knowledge of governance and compliance frameworks including NIST, SOC 2, CMMC, GDPR, or HIPAA.
• Professional services, engineering, construction, or consulting industry experience.
• Experience mentoring junior engineers or leading technical initiatives.