Data Management Engineer

We have an opening for an experienced Data Management Engineer to enable seamless data access and delivery across our enterprise business systems, such as Finance, HR, and Procurement. This role will focus on curating data to enable AI and analytics by leveraging data virtualization tools such as Denodo, ensuring consistent, governed, and real-time access to distributed data assets. You will work at the intersection of data governance, AI enablement, and enterprise operations, partnering with application developers and business analysts to ensure the right data is available, high quality, and ready for intelligent decision-making. This position is in the Enterprise Application Services (EAS) Division within the Computing Directorate, in support of the LivIT Program.

This position offers a hybrid schedule, blending in-person and virtual presence. You will have the flexibility to work from home one or more days per week. 

You will

• Conduct technical tasks in design, implementation, and management with data virtualization layers using tools such as  Denodo to provide a unified view of enterprise data across on-prem and cloud systems.
• Collaborate with enterprise development teams on complex problems, virtualizing data sources relevant to Finance, HR, Procurement, Supply Chain, and other operational domains.
• Curate data and semantic layers to streamline AI and ML workflows.
• Partner with development teams to leverage existing enterprise data and create new data structures in a Denodo data virtualization environment.
• Collaborate with development teams to develop and enforce data governance policies, metadata standards, and data stewardship processes across operational domains.
• Support the creation and maintenance of LLNL enterprise-wide data catalogs, lineage, and business glossaries.
• Partner with application developers to provide governed, high quality data feeds for AI model development, training, and deployment.
• Work closely with ML engineers to ensure virtualized data sources meet performance, accuracy, and versioning requirements for real-time and batch AI use cases.
• Partner with both application development teams and their functional counterparts to translate operational data requirements into scalable, governed data assets.
• Support enterprise software and analytics development in delivering data-driven solutions for operational efficiency, forecasting, and intelligent automation.
• Perform other duties as assigned.

• Ability to obtain and maintain a U.S. DOE L-level security clearance in the future; this requires U.S. citizenship.
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• Significant experience in enterprise data management, data integration, or data architecture.
• Significant experience applying data virtualization concepts in a production or enterprise environment, preferably through use of Denodo.
• Advanced knowledge of business operations data, for example ERP systems such as Oracle Finance, Oracle HCM Cloud, PeopleSoft, or Hexagon/Infor EAM.
• Significant experience with SQL, data modeling, metadata management, and data cataloging.
• Advanced verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.

Qualifications We Desire

• Denodo Platform Certified Architect or Developer.
• Significant experience working within Agile/Scrum environments supporting cross-functional development teams.
• Exposure to AI and ML tooling ecosystems, for example Databricks, Azure ML, or SageMaker.
• Advanced experience with cloud data platforms, for example Snowflake, Redshift, BigQuery, or Databricks, and API-based data access.
• Familiarity with data privacy laws, data residency, and compliance relevant to Finance, HR, and health-related data.

Pay Range

$175,530 - $222,564 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting; pay will not be below any applicable local minimum wage. An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. 

#LI-Hybrid

Position Information

This is a Career Indefinite position, open to Lab employees and external candidates.

Why Lawrence Livermore National Laboratory?

• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (*depending on project needs)
• Our values - visit https://www.llnl.gov/inclusion/our-values

Security Clearance

This position requires a Department of Energy (DOE) L-level clearance.  If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter.  Also, all L or Q cleared employees are subject to random drug testing.  L-level clearance requires U.S. citizenship. 

Pre-Employment Drug Test

External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.

Wireless and Medical Devices

Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.  This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.  

If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas.  Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.

How to identify fake job advertisements

Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.

To learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf

Equal Employment Opportunity

We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.

Reasonable Accommodation

Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.  If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request. 

California Privacy Notice

The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents. The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose. The Employee Privacy Notice can be accessed here.