May 17, 2026For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Understand, maintain and troubleshoot material handling control systems, including PLC/PC controllers and industrial networks such as Ethernet, ControlNet, DeviceNet, Profibus, motor control systems, servo drives, frequency drives, and electrical distribution systems. Collaborate with building Operations, Operations Engineering teams, FC Start-up Team, AFT Software teams, ACES team, and Safety in supporting MHE systems optimization and project implementation.
ul> Bachelors degree in Computer Science, Information Technology, or Business Analytics and 2 years of experience in performing analytics on large, complex operational, financial, production, and supply chain datasets to identify actionable insights data modeling solutions. Write SQL scripts and machine learning algorithms that enable data-driven insights and predictive analytics to enhance decision-making processes and uncover valuable patterns within large datasets (i.e. R-scripting and ETL).
Partner Oversight & Governance Own the technical relationship across all implementation partners for Sage Intacct, BuildOps, Miter, and Ramp — attending configuration sessions, reviewing API and data model decisions, and ensuring every buildout aligns to the multi-tenant architecture. · Debugging & Pipeline Health Be the first line of diagnosis when pipelines break or data is wrong — isolate whether the failure is in the source API, Workato recipe logic, watermark drift, or Snowflake schema before engaging partner support.
This is a hands-on role supporting manufacturing processes, daily production, continuous improvement, quality, safety, and shop-floor operations. Bachelor’s degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, or a related engineering field.
This position will report directly to the Associate Director of Engineer-Software Financial Systems, and will primarily work with Financial Systems team members, accountants, and planners to ensure that the Finance Organization receives support and administration required to meet the diverse needs of the entire organization. See OneMain Financial Privacy Policy at https://www.onemainfinancial.com/legal and SonicJobs Privacy Policy at https://www.sonicjobs.com/us/privacy-policy and Terms of Use at https://www.sonicjobs.com/us/terms-conditions.
div>Advance your career as an Electrical Engineer PE in Dallas, Texas, where you will play a key role in both design and project management for a growing multidisciplinary engineering firm delivering impactful aviation, K-12, healthcare, commercial, hospitality, parking structure, and public sector projects.
ELECTRICAL PE | ELECTRICAL PROJECT MANAGER | ELECTRICAL ENGINEER | PROFESSIONAL ENGINEER | PE LICENSE | REVIT | AVIATION FACILITIES | K-12 | PUBLIC SECTOR PROJECTS | HEALTHCARE FACILITIES | COMMERCIAL BUILDINGS | DALLAS TEXAS.
strong>What you ll be doing - Set up SageMaker Unified Studio platform domain configuration, project provisioning, persona-based roles, and multi-environment (Dev, Prod-UAT, Prod) promotion workflows. You will migrate the organization from a fragmented ML toolchain to a unified, governed platform on AWS Landing Zone 2, covering the full ML lifecycle from data discovery through model deployment and monitoring.
The role includes collaboration with multi-disciplinary engineering teams, customers, and program leadership to ensure solutions meet stakeholder requirements, security constraints, and technical performance objectives. We are seeking a motivated and experienced Software engineer to design, develop, and deliver automated system capabilities and big-data processing architectures.