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Senior Data EngineerGeosyntec Consultants, Inc. • Oak Ridge, Tennessee, United States
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Senior Data Engineer

Geosyntec Consultants, Inc.
  • US
    Oak Ridge, Tennessee, United States
  • US
    Oak Ridge, Tennessee, United States
Jetzt Bewerben

Über

Overview Longenecker & Associates (L&A), a Geosyntec Company, is a trusted partner enabling critical missions across the U.S. Department of Energy (DOE) complex for more than 30 years. We contribute to DOE’s nuclear security and environmental remediation enterprise by providing the highest-caliber staff and experts. We are seeking a motivated
Senior Data Engineer
to contribute to our mission supporting our work at
UCOR
in
Oak Ridge, TN .
Geosyntec is an innovative, international engineering and consulting firm serving private and public-sector clients to address new ventures and complex problems involving our environment, natural resources, and civil infrastructure. Our engineers, scientists, technical and project employees serve our clients from offices across the world. Ranked by ENR as one of the top environmental engineering design firms, Geosyntec is internationally known for its technical leadership, broad experience, and exceptional client service.
We invest in our people. Each employee is unique, and your career at Geosyntec will be too. We offer competitive pay and benefits, and well-being programs to support you and your family.
To Learn More Visit:http://www.geosyntec.com/careers/.
Essential Duties and Responsibilities Essential Duties and Responsibilities
The Senior Data Engineer is responsible for designing, building, and maintaining the organization’s enterprise data architecture, data pipelines, data integration solutions, and analytical data platforms. This role serves as a technical leader in transforming raw data into trusted, accessible, and actionable information that supports business operations, reporting, advanced analytics, artificial intelligence (AI), and strategic decision‑making.
Key Responsibilities
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.
Success Measures
Reliable and scalable data platforms.
Improved data quality and accessibility.
Reduced manual data processing.
Successful delivery of analytics and reporting solutions.
Support for enterprise data governance and modernization goals.
Education and Licensure
Bachelor's degree in data science, business, and/or similar related field. (required)
Skills, Experience and Qualifications Required Skills, Experience, and Qualifications
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.
Please note that marijuana remains a Schedule III controlled substance under Federal Law. Federal contractors must follow Federal drug‑free workplace rules, which prohibit marijuana use, even if medical or recreational use is permitted under State Law.
Preferred Qualifications and Location Details
Master’s Degree in related field.
Experience with Microsoft Fabric, Azure Synapse, Databricks, Denodo, Snowflake, or similar platforms.
Experience supporting AI and machine learning initiatives.
Relevant cloud or data engineering certifications.
Experience leading modernization and digital transformation initiatives.
Experience with federal reporting.
Onsite position – Oak Ridge, TN at UCOR office
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  • Oak Ridge, Tennessee, United States

Sprachkenntnisse

  • English
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