June 4, 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. You will an integral member of a fast paced, Agile development and implementation team to architect, design and develop data integration solutions (Extract, Transform, Load) to support a unified User Experience / User Interface (UX/UI) that provides a holistic single-pane-of-glass interface for an integrated solution on the Elastic platform.
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. - Communicate complex technical concepts clearly to both technical and non-technical audiences, including executive leadership and external partners.
Maryland Heights, MO2 days ago
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. This role operates as a trusted advisor, embedded within delivery teams to influence architectural decisions and ensure security is designed into modern SaaS, cloud-native, and hybrid solutions.
Saint Louis, MO30+ days ago
The role requires developing and optimizing Apache Spark jobs for processing large-scale datasets efficiently, implementing data quality frameworks to ensure accuracy and reliability, and influencing reusable frameworks and libraries to accelerate development across the team. The Data Engineer will optimize query performance and resource utilization to control costs, implement comprehensive monitoring and alerting systems, maintain thorough documentation of data pipelines and processes, and ensure adherence to security policies and compliance requirements.
p>We are looking for a Senior Data Scientist with experience processing, analyzing, and visualizing large structured and unstructured datasets who will use their technical expertise, mission knowledge, and customer-centric focus to create and deliver advanced analytic solutions, automation, machine learning models, and compelling data-driven visual products. - Leverage customer-specific Esri ArcGIS Enterprise portals (similar to Safehouse and ICGIS) to analyze and derive insights from the customer's databases, identify opportunities for increased efficiency, and develop visualizations and automation solutions that enhance both mission operations and business analytics.
Clayton, Missouri16 days ago
div>California Residents - Please review our Privacy Notice here.
Requirement Gathering: Act as a bridge between technical teams and business units, working directly with stakeholders to define reporting requirements and establish relevant Key Performance Indicators (KPIs).
p>Principal Research Data Engineer for St. Louis, MO to oversee the development & implementation of research data pipelines for producing data layers and storing research data; implement & maintain scalable data-intensive processing pipelines that apply geospatial to ML/DL models; architect, build & launch new data models to provide intuitive analytics to business users; develop infrastructure to inform on key metrics, recommend changes & predict future results; develop POCs for new pipelines for integration into science data pipeline through collaboration with diverse research partners. Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
saint louis, MO30+ days ago
LangGraph) to include: Azure: AI Foundry (design, deployment, orchestration of AI/agentic applications); OpenAI Service (LLM integration for reasoning, planning, and tool use); Cognitive Search & Vector DBs (retrieval, memory, context for agents); Cognitive Services (vision, speech, and language APIs for agent capabilities); Entra ID & Key Vault (identity, security, compliance for AI workloads); and/or. As a Senior Consultant you will bring strong technical, functional and project management solutions to clients with a focus on achieving a high level of performance and quality through delivery of both agile and traditional projects to provide exceptional business value to users.
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Work with AWS services such as Elastic Beanstalk, ALB/ELB, Auto Scaling, CloudWatch, ElastiCache, CodeBuild, CodeDeploy, Lambda, etc.
5+ years of experience using SAP Data Services, BusinessObjects Data Services (BODS), or comparable extract, transform, and load tools to support SAP S/4HANA data extraction, transformation, validation, and loading, including migration strategy, data quality, mock conversions, reconciliation, and post-go-live stabilization. Join our team of strategic advisers and architects, differentiated by our industry depth to collaborate with leading solution providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable heart-of-the-business solutions.
St. Louis, MO30+ days ago
p>As a Lead Microsoft AI&Data FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production for Deloitte's most strategic clients. At Deloitte, Forward Deployed Engineers (FDE) don't just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise.
p>The Work: Team with clients on their SAP functional and technical transformation programs through your combined SAP application, functional and technical process expertise which includes your ability to:
Engage with senior client executives on the business challenges/trends and the potential value of SAP solutions (current & future).
Then join Accenture and build a rewarding career improving the way the world works and lives, as you help clients innovate with leading-edge SAP and Accenture Data Management and Analytics solutions and technologies on some of the most innovative projects in the world.
p>The role combines hands-on technical development with technical leadership and supports CDC modernization initiatives involving cloud-based analytics environments, enterprise data platforms, interoperability frameworks, and emerging public health technologies. The successful candidate will work closely with data managers, analysts, developers, architects, and program stakeholders to design, develop, implement, and support secure, scalable, and efficient data exchange solutions.
ul>Architect & Build: Design and deliver scalable data AI platform solutions using Microsoft Fabric, Data Lake, SHIR, Power BI, Fabric-native services and Power Platforms. You'll drive the design, development, and optimization of our enterprise data platform, integrating Power Platforms, Microsoft Fabric components with modern cloud-native and AI-driven technologies.
Demonstrates experience working with both structured data (e.g., tables, spreadsheets) and unstructured sources (e.g., text, images, documents), applying appropriate preprocessing and feature engineering techniques to ensure data quality and relevance for analytics and modeling. Applies a broad range of machine learning algorithms-from supervised and unsupervised learning to ensemble methods and deep learning-to extract meaningful insights and drive data-driven decision-making across complex business challenges.
li>Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.