April 30, 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 global leader within a highly regulated manufacturing sector, recognised for delivering precision-engineered solutions to critical industries. This role blends technical depth with practical delivery, leading controls projects from concept through validation and ongoing support.
Qualifications: Bachelor's degree in related Engineering/Science field and a minimum of 6 years of prior related experience, Or, master’s degree in progress in related Engineering/Science field and a minimum of 4 years of prior related experience, Or, in lieu of a degree, a minimum of 10 years of prior related technical and project management experience. Manage day-to-day technical aspects of the project, including cross-functional decision making, task/schedule management, issue resolution/escalation, communication, requirements management, and risk management activities.
Warrington, PA12 days ago
Responsibilities: * Assist project engineers and project managers with all aspects of water and wastewater projects, including calculations, report writing, permit applications, cost estimates, plan preparation, and specification preparation. By applying for this job, you agree to receive calls, Al-generated calls, text messages, or emails from Synerfac Technical Staffing and our contracted partners.
The tools that we develop are as diverse as the teams developing them, and in this Associate Director, Data Engineer role, the successful candidate will serve as a domain owner for data engineering in the biologics space - designing, building, and governing data pipelines that capture, curate, and deliver experimental and process data, including chromatography, filtration, and purification, into digital initiatives spanning process characterization, data lineage, and multivariate analytics. This engineer will help establish end-to-end data strategy in the biologics space: cataloging all processes, analytics, and systems; enforcing ontology alignment across data sources; aligning proactively with colleagues as new automated workflows create new data streams; and ensuring seamless data handoffs to adjacent domains.
p>What you will be doing: As an Associate Data Engineer III, you will participate in all aspects of Data Engineering by supporting existing data integrations and data pipelines and troubleshooting issues as they occur while also building new data pipelines, data ingestions, data integrations, data storage, and traditional Data-warehouse/BI systems across small and medium sized projects concurrently.
Summary Statement:
Working with a diverse team, you will play an integral role in engineering and supporting our data integrations between business critical applications and systems, while mentoring other associate data engineers on data engineering best practices in an effort to deliver our next generation of innovative solutions to our customers.
The team works closely with Product Owners, Business Analysts, Data Scientists, and Analytics teams to deliver modern data solutions that enable advanced reporting, analytics, and business intelligence. As a Senior Data Engineer, you will play a key role in designing, developing, and optimizing enterprise data pipelines that power business-critical analytics and reporting solutions.
Center Valley, PA30+ days ago
Shift4 is expanding globally and seeking a key Senior AWS Cloud Data Engineer to join our team of world-class in-house engineers that will contribute to the technology, architecture and engineering delivery across an AWS Cloud Data Services team. You will collaborate closely with cross-functional teams including project managers, business analysts, and software engineers to ensure the availability, reliability, and scalability of our system.
p>The Business Data Engineer Level 2 collaborates with Supervisors or Level III Engineers on assigned projects, acting as a subject matter expert in one or more areas of expertise. Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, sales organization operations, and strategic decision-making.
The tools that we develop are as the teams developing them, and in this Senior Specialist, Data Engineer role, the successful candidate will design, build, and maintain data pipelines that capture, curate, and deliver experimental and process data from Upstream Biologics Process Development teams - including cell culture, bioreactor operations, media and feed optimization, and high throughput process development - into downstream digital initiatives. Required Skills:
Analytical Acumen, Animal Vaccination, Biopharmaceutical Industry, Data Format, Data Modeling, Data Visualization Tools, Engineering Principle, Equipment Qualification, Estimation and Planning, Mechanical Systems Analysis, Molecular Modeling, New Product Introduction (NPI), Pharmaceutical Sciences, Primary Cell Culture.
Coopersburg, Pennsylvania15 days ago
ul style="margin: 0px; padding: 0px; font-family: verdana;">Cloud platforms: AWS (S3, Glue, EKS, Lambda, SageMaker, Redshift, Athena, Bedrock, Agentcore) . - Collaborate with data scientists to productionize AI models and agents, ensuring performance, reliability, and compliance. .
Horsham, Pennsylvania30+ days ago
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Horsham, Pennsylvania30+ days ago
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Allentown, PA30+ days ago
li>Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
p>Position Summary: As a Penske Associate Data Platform Engineer/Platform Lead within the Digital Products organization, you will play a key role in designing, evolving, and supporting data platforms that enable our digital products and SaaS solutions. We collect and analyze billions of datapoints each year, through over 300+ advanced analytical models and integrate insights from our fleet, maintenance operations, and logistics networks to give customers a more complete view of their supply chains.
Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. Good working knowledge of Azure services, including Azure Data Factory (ADF) or Synapse Pipelines, Azure Data Lake Storage (ADLS), and Azure Key Vault/Secrets Management.
Design, build and optimize data systems for performance, scalability, ease of use and reliability, leveraging tools for observability and troubleshooting; includes exploration of multiple solution options for any given integration objective and analysis of associated advantages and disadvantages. 7 years of experience in data engineering, software engineering, systems integration, or a related field, with demonstrated expertise in designing, building, and deploying scalable data solutions.
Bethlehem, PA30+ days ago
Implement data quality checks (freshness, row counts, referential integrity, reconciliation). - User interface and scripting experience, preferably using Streamlit/.NET/Python.
ul>Education: BS in Computer Science, Software Engineering, Computer Engineering, Industrial Engineering, Manufacturing Engineering, Information Technology, Automation, or related field and 8+ years of experience; or MS in Computer Science, Software Engineering, Computer Engineering, Industrial Engineering, Manufacturing Engineering, Information Technology, Automation, or related field and 6+ years of experience.
Job Description:
Broadcom is seeking an experienced MES (Manufacturing Execution System) Software Engineer/Manufacturing Systems Developer to design, develop, deploy and continuously enhance a custom MES platform that can incorporate AI-driven capabilities for semiconductor wafer fabrication operations.
p>As a Data Engineer II, you will be leading the effort to develop, enhance, and support existing and new data pipelines, data ingestions, data storage, and traditional Data-warehouse/BI systems across medium and large sized projects concurrently. You will support our software developers, database architects, data analysts and data scientists on vital initiatives and ensure optimal data delivery architecture consistent throughout ongoing projects.
Worcester, PA30+ days ago
This role serves as the senior-most subject matter expert (SME) for Microsoft Fabric, OneLake, advanced analytics, and Copilot-enabled architectures, ensuring the enterprise is positioned to fully leverage data as a strategic asset. · Microsoft Fabric & OneLake Authority: Serve as the definitive technical authority for Microsoft Fabric architecture, including OneLake, lakehouse design, real-time analytics, semantic models, and AI-enabled workloads at enterprise scale.
li>Define IQVIA’s data security approach for AI and LLM-integrated platforms, establishing policy and technical controls governing the safe use of AI capabilities embedded in or connected to data platforms, including controls around data inputs, model outputs, and prevention of regulated data exposure in AI workflows. Provide data security architecture input and oversight for platform migrations, legacy system decommissions, and M&A integration programs — assessing inherited data estates for sensitive data exposure, access control gaps, and regulatory risk, and defining remediation roadmaps aligned to integration timelines.
p>The Data Engineer is a key member of the Discovery Operations team, responsible for independently owning the intake, prioritization, delivery, and adoption of scalable data products, workflow automations, and decision-ready insights across the Discovery, Preclinical, and Translational Medicine (DPTM) Ops portfolio - spanning capital asset life cycle management, regulatory and safety compliance, externalization, site operations, and lab support. This role strengthens our ability to operate in an increasingly digital environment by consolidating fragmented data, building data connections across heterogeneous systems, reducing manual and repetitive work with automations, and enabling data-driven insights (including AI-assisted approaches) from interactive reporting, modeling, and simulation tools that support day-to-day decisions and review-by-exception management.
p>With global presence across 4 continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers. With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech, Manufacturing, and other industries.
p>Strong hands-on experience with SAP HANA and other relational databases (e.g., SQL Server) Expertise in relational and dimensional modeling (ER models, star/snowflake schemas) Familiarity with ETL tools and frameworks (e.g., SAP Data Services, SLT) Working knowledge of reporting/analytics tools (e.g., SAP Business Objects, Qlik, Power BI) Understanding of SAP ECC and SAP SCM/APO data structures and integration methods Experience with Microsoft Azure analytics services - Data Fabric, Data Lake, Delta Lake, Databricks Experience with GitHub for version control Knowledge of Jira for project tracking. Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field 5+ years of experience in data architecture, data modeling, or data engineering 2+ years of leadership or senior-level experience.
p>Strong hands-on experience with SAP HANA and other relational databases (e.g., SQL Server) Expertise in relational and dimensional modeling (ER models, star/snowflake schemas) Familiarity with ETL tools and frameworks (e.g., SAP Data Services, SLT) Working knowledge of reporting/analytics tools (e.g., SAP Business Objects, Qlik, Power BI) Understanding of SAP ECC and SAP SCM/APO data structures and integration methods Experience with Microsoft Azure analytics services - Data Fabric, Data Lake, Delta Lake, Databricks Experience with GitHub for version control Knowledge of Jira for project tracking. Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field 5+ years of experience in data architecture, data modeling, or data engineering 2+ years of leadership or senior-level experience SAP HANA experience is a MUST.
Pipersville, Pennsylvania30+ days ago
li>Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use. We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.
li>Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots, enterprise rollout plans, communications, training, and change management to drive adoption and safe use. We are hiring a Project Manager, AI & Data Science, who will act as both Scrum Master for the Data Science team and Project Manager for SaaS AI products such as ChatGPT Enterprise, Veo 3, Slack AI, Scribe, and similar tools.
Allentown, Pennsylvania21 days ago
strong>You’re here to build what’s next, on a team that outperforms every norm.
As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure and Capital Projects LLP or one of our other legal entities - Accenture Infrastructure and Capital Projects, LLC or Accenture Infrastructure and Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details.
THE WORK: - You’ll manage quality planning, field oversight, deficiency tracking, documentation review, and cross-discipline quality coordination.
$140,000 - $175,000 a year
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Source analytics-ready data primarily from a curated platinum layer in Snowflake - the preferred and intended data access point for BI development - while partnering with the data engineering team to help define, shape, and refine that layer based on your business knowledge and reporting requirements. This role also carries a significant responsibility in supporting an active ERP migration - a portion of our business is transitioning from Infor BPCS (on-premises) to Infor M3 Cloud, and this individual will play a hands-on role in bridging reporting continuity across both systems during that transition.
Allentown, Pennsylvania25 days ago
strong>You’re here to build what’s next, on a team that outperforms every norm.
As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure and Capital Projects LLP or one of our other legal entities - Accenture Infrastructure and Capital Projects, LLC or Accenture Infrastructure and Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details.
THE WORK: - You’ll manage permitting, entitlement, agency coordination, comment resolution, and regulatory documentation in partnership with the Owner’s permitting leadership and the design team.
$150,000 - $180,000 a year
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Allentown, Pennsylvania21 days ago
strong>You’re here to build what’s next, on a team that outperforms every norm.
As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure and Capital Projects LLP or one of our other legal entities - Accenture Infrastructure and Capital Projects, LLC or Accenture Infrastructure and Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details.
THE WORK: You’ll provide project administration, document coordination, meeting support, reporting assistance, action tracking, and team logistics to keep the program organized and moving.
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$80,000 - $130,000 a year
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Spring House, PA30+ days ago
All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. • Work closely with other technical leaders, such as Ontology and Knowledge graph Engineers to design and deliver future-proof, AI-ready data systems aligned with Oncology R&D business needs.
Spring House, PA30+ days ago
All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. Leverage and implement data versioning and lineage tracking to support data traceability, compliance, maintaining documentation for data architectures and workflows.
p>All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America.
Work with Data Science & Digital Health colleagues, IT and DevOps teams to deploy and manage the graph database infrastructure, focusing on high availability, scalability, and recovery operations specifically geared toward Immunology R&D needs and applications.
p>All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
p>All Job Posting Locations: Cambridge, Massachusetts, United States of America, Raritan, New Jersey, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America.
The Senior Manager, Oncology Data and AI Systems will focus on building data and AI systems in Oncology R&D and support projects from across the business including Clinical, Pre-Clinical, Real World Data (RWD) and 'omics platforms.
Spring House, Pennsylvania12 days ago
li>Work with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in translational safety and preclinical sciences (for example: experiment design, safety risk prediction, lab process automation, etc.). This role will partner closely with PSTS leadership, PSTS teams, and IT partners to advance translational safety, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio.
Carpenter Technology Corporation is a leading producer and distributor of premium specialty alloys, including titanium alloys, nickel and cobalt-based superalloys, stainless steels, alloy steels, and tool steels. We are seeking a highly skilled and forward-thinking data and analytics leader to drive the design, modernization, and strategic evolution of our enterprise data and analytics ecosystem.
Spring House, Pennsylvania12 days ago
li>Work with peers across Discovery, Product Development, & Supply (DPDS) and our Therapeutic Areas to generate and analyze our data in the best way possible for opportunities in translational safety and preclinical sciences (for example: experiment design, safety risk prediction, lab process automation, etc.). This role will partner closely with PSTS leadership, PSTS teams, and IT partners to advance translational safety, deliver robust data products, and scale advanced analytics and AI capabilities across the portfolio.
p>As Accenture continues to grow, you may see a variety of new career opportunities, and depending on the role and location you may be directed to apply through Accenture Infrastructure and Capital Projects LLP or one of our other legal entities - Accenture Infrastructure and Capital Projects, LLC or Accenture Infrastructure and Capital Projects Inc., with benefits varying by country and role, so please check with your recruiter for details. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in Illinois, Minnesota, California, Colorado, District of Columbia, Maryland, New York, New Jersey, or Washington as set forth below.