June 23, 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.
p>Provide cyber threat intelligence support, including the collection, fusion, analysis, creation, and distribution of threat intelligence from government entities, commercial feeds, open sources, and partner organizations. The Cyber Security Engineer will collect, analyze, and distribute threat intelligence from government sources, commercial feeds, open source reporting, and partner organizations to improve situational awareness of the cyber threat environment.
April 16, 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.
June 18, 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.
Our client is a well-established and highly recognized manufacturer within the metals and heavy industrial space, currently investing heavily in the growth and modernization of a key production facility. The position partners closely with operations to drive continuous improvement, resolve quality issues, and maintain compliance with established quality systems.
Our client is a well-established and widely respected manufacturer in the metals and heavy industrial sector, currently making significant investments to expand and modernize a key production facility. It collaborates closely with operations teams to drive continuous improvement, address quality concerns, and uphold adherence to established quality systems.
Saint Louis, MO17 days ago
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. January 13, 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.
St. Louis, MO30+ days ago
Huntington Ingalls Industries: Mission Technologies Division is actively searching for a Sr Cloud Engineer to join our team at Moonshot Labs in St Louis, MO, to help the National Geospatial-Intelligence Agency with ensuring the reliability, scalability, and performance of new software applications. LEVEL 5 = 15 years relevant experience with Bachelors in related field; 13 years relevant experience with Masters in related field; 10 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 19 years relevant experience.
p>• Design and implement thorough data architecture strategies • Lead large-scale projects and innovate processes • Maintain operational excellence and client interactions • Develop and document data models and data flow diagrams • Adhere to data governance and security policies • Collaborate with business stakeholders to translate data requirements into technical solutions • Drive project success through strategic advising and problem-solving • Foster a diverse and inclusive team environment. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Saint Louis, Missouri4 days ago
p>This role combines enterprise data engineering, geospatial technology, and mission impact, giving you the opportunity to solve complex data challenges in environments where performance, scale, and reliability are essential. From database design and performance tuning to high availability and data security, your work will ensure that critical geospatial information is delivered reliably to the people who depend on it most.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
ul>Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
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.
St. Louis, Missouri30+ days ago
With $462 billion assets under management ($295 billion in physical assets and $167 billion in derivatives notional value), NISA actively manages risk for institutional investors, providing clarity to complicated challenges and stability in ever-evolving markets. Overview: NISA Investment Advisors, LLC (NISA) partners with world-leading organizations to design, develop, and manage highly customized, risk-controlled investment strategies across fixed income, equities, and derivatives.
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.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
The role has a strong emphasis on real time streaming architectures using Kafka and Spark Structured Streaming, alongside ingestion and orchestration with Apache NiFi and scalable storage using Apache Ozone and Ceph. We are looking for a highly skilled Senior Data Engineer with deep expertise in Apache Spark, Scala, and PySpark to build and operate large scale batch and streaming data processing systems.
Saint Louis, MO30 days ago
Design, develop, and maintain scalable data pipelines using AWS services such as S3, Glue, Redshift, and Lambda. Build and optimize ETLELT processes for efficient ingestion, transformation, and loading of large datasets.
Saint Louis, Missouri22 days ago
You will work both independently and as part of project teams to configure back-end geospatial database management capabilities that support customer workflows utilizing ArcGIS web, desktop, and mobile applications. Familiarity with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security.
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. You will support a Data & Analytics Foundry across numerous business product teams (scaled program with ~235 onshore/offshore resources), building reliable pipelines and curated datasets for analytics and downstream consumption.
Saint Louis, Missouri22 days ago
You will work both independently and as part of project teams to configure back-end geospatial database management capabilities that support customer workflows utilizing ArcGIS web, desktop, and mobile applications. Demonstrated experience with database design principles, data loading techniques, backup and recovery solutions, performance monitoring and tuning, database maintenance, and security.
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.
li>Lead Agile Delivery: • Champion Agile methodologies and iterative product development • Collaborate with cross-functional squads to ensure high-velocity deployment, continuous improvement, and alignment with evolving business priorities. Experience building and maintaining complex data pipelines, troubleshooting complex issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects.
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.
St. Louis, MO30+ days ago
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients.
SAINT LOUIS, MO21 days ago
Job Overview: As a Databricks Lead Data Engineer, you are expected to lead the development team and have strong development and programming skills in Python, SQL, Pyspark, Databricks, Notebook Repositories, Medallion Architecture, CI/CD, and ETL platforms associated with Data Lakehouse solutions. Proudly serving clients that represent the world's most innovative brands, and in collaboration with our powerful technology partner ecosystem, we bring deep industry expertise and data-driven design to redefine how businesses run and succeed.
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. As a key Real-Time Visibility team member, you will be conducting design and implementation for a variety of solution capabilities to integrating various data sources into Confluent (Kafka) and Elastic platforms, design of robust data integration solutions, and adhering to the program's CI/CD processes and data governance practices.
ul>Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads.
St. Louis, MO30+ days ago
Architecture & design contribution capability: candidate should be able to contribute to solution architecture, discuss trade-offs/pros-cons, and guide design decisions for agentic systems. Core must-haves (screen for these explicitly)Applied Agentic AI engineering experience: evidence of building Agentic workflows - ideally delivered into a real project.
St. Louis, MO30+ days ago
li>10 years of experience in data and analytics management with at least 8 years of experience of leading various data and analytics program/initiatives of large sizes with 3 years experience managing and delivering Managed Data and Analytics programs (Managed services and Managed assets). PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
St. Louis, MO30+ days ago
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. You are expected to focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations and growing your personal brand and technical proficiency.
div>The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$114,700—$221,100 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
p>All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and.
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and.
p>Grade: 5. Position Objective: This role will be responsible for building data pipelines, data models, and developing analytics solutions within Microsoft Fabric and Power Platform tools.
- Design and implement scalable data pipelines using Fabric Data Factory, Python, Power Apps, or other technologies.
St. Louis, MO30+ days ago
Possible Locations: Atlanta, Austin, Baltimore, Boston, Charlotte, Chicago, Cincinnati, Cleveland, Columbus, Costa Mesa, Dallas, Denver, Detroit, Hartford, Houston, Indianapolis, Jacksonville, Kansas City, Las Vegas, Los Angeles, McLean, Miami, Milwaukee, Nashville, New Orleans, New York, Philadelphia, Pittsburgh, Portland, Raleigh, Richmond, Sacramento, San Antonio, San Diego, San Francisco, San Jose, Seattle, St. Louis, Stamford, Tampa, Tempe. You will manage day-to-day delivery with an onshore/offshore team, partnering with data science, ML engineering, and product stakeholders to translate use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.
In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform, and load processes to migrate and deploy data across various systems.