Senior Data Engineer

Jobtailor; Oak Ridge (TN); On-site; USD 110,000 - 170,000; Full time

Job summary

Jobtailor in Oak Ridge, TN is seeking a senior data engineer to design, build, and maintain our enterprise data architecture, data pipelines, and integration solutions.

You will transform raw data into trusted information for operations, reporting, analytics, AI, and strategic decisions, while developing data warehouses, lakes, and lakehouse architectures.

The role requires strong SQL, data modeling, cloud data platforms, governance, and a track record mentoring junior engineers.

Qualifications

• Must pass DOE Q security clearance and U.S. citizenship.
• 7+ years of data engineering experience.
• Advanced SQL and data modeling skills.
• Experience with cloud data platforms and modern data engineering tools.
• Strong understanding of data governance, security, and quality management.

Responsibilities

• Design, build, and maintain enterprise data architecture and pipelines.
• Transform raw data into actionable information for operations, analytics, AI, and decisions.
• Develop data warehouses, data lakes, and lakehouse architectures.
• Develop and optimize ETL/ELT processes.
• Implement data quality, metadata, and governance standards.
• Support cloud-based and hybrid platforms.
• Collaborate with analysts, scientists, and stakeholders.
• Mentor junior engineers and establish best practices.

Skills

Advanced SQL

Data Modeling

Cloud Data Platforms

Data Engineering Tools

Data Governance & Security

7+ years experience

Job description

• Designing, building, and maintaining the organization’s enterprise data architecture, data pipelines, and integration solutions.
• Transforming raw data into trusted, accessible, and actionable information that supports business operations, reporting, advanced analytics, artificial intelligence (AI), and strategic decision‑making.
• Design, develop, and maintain enterprise data pipelines and integration processes.
• Build scalable data solutions supporting reporting, analytics, and AI initiatives.
• Design and implement data warehouse, data lake, and lakehouse architectures.
• Develop and optimize ETL/ELT processes.
• Implement data quality controls, metadata management, and governance standards.
• Support cloud‑based and hybrid data platforms.
• Collaborate with analysts, scientists, and business stakeholders.
• Mentor junior engineers and establish engineering best practices.

Requirements

• Due to federal contract security requirements, candidates must be able to successfully pass a federal background investigation to secure and maintain DOE Q security clearance. (required)
• Due to federal contract security requirements, this position requires U.S. Citizenship. (required)
• Health & Safety training, medical monitoring, and client‑driven drug and background testing. (required)
• 7+ years of experience in data engineering or related disciplines.
• Advanced SQL and data modeling skills.
• Experience with cloud data platforms and modern data engineering tools.
• Strong understanding of data governance, security, and quality management.