June 8, 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.
Walled Lake, MI20 days ago
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.
February 5, 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>Manufacturing IT Support Engineer Support Associate is responsible for ensuring reliable and efficient operations of physical and virtual servers, private cloud environments, networks, PCs, and other business-critical infrastructure components. This role supports internal users, troubleshoots and escalates infrastructure-related issues, maintains system availability, and assists with user system setup and configuration.
This role serves as a key liaison between software development teams, program management, and external suppliers to ensure high-quality software delivery, successful vehicle launches, and continuous post-launch improvements. Utilize connected vehicle data and telemetry to support root-cause analysis, engineering problem-solving, and data-driven decision-making.
This role will be responsible for building scalable content delivery solutions, developing automation frameworks, creating self-service tooling, and supporting large-scale CDN migrations. Architect and build a self-service portal using Python and modern front-end frameworks to enable product teams to manage CDN properties through APIs.
We are seeking a Full Stack Software Engineer responsible for designing, developing, testing, and maintaining software applications and products that meet customer needs. This role participates in the full software development lifecycle, including software architecture design, development, testing, deployment, performance optimization, and continuous improvement of software solutions.
The Manufacturing Tooling Engineer is responsible for supporting the design, development, implementation, and delivery of production tooling for final assembly operations. At HTC Global, you’ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together.
May 29, 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.
Auburn Hills, MI6 days ago
li>Lead development of site safety programs including forklift, machine guarding, confined space entry, x-ray equipment, accident investigation, lead awareness, respirator, hazard communication, lockout/tagout, and electrical safety, etc.
As the Lead EHS Engineer/Specialist, you will assist the Engineering, Manufacturing and EHS teams in the administration of the EHS department to ensure smooth operation of the team.
FARMINGTON HILLS, MI25 days ago
These candidates should be comfortable sitting with executives, operations leaders, finance teams, and supply chain managers to solve business problems—not just build dashboards. Technical Skills RequiredMust have:Advanced SQLPython and/or PySparkDatabricksPower BIAzure ecosystemKPI developmentForecasting and analytics
p>To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.akkodis.com/en/us/candidate-privacy-policy. The ideal candidate is responsible for architecting and building AI-driven data migration pipelines from Teamcenter to 3DEXPERIENCE, ensuring seamless data transformation and integrity.
p>You will be responsible for designing, developing, testing, and deploying data services that interact with large-scale data systems, while also supporting production processes and operational excellence. In this role, you will collaborate with developers, architects, product managers, and feature teams to deliver core platform components that support scalable, secure, and high-performing web services.
Data Engineer Freudenberg Sealing Technologies GmbH & Co KG
Data EngineerPlymouth, MI30+ days ago
li>Productionize Databricks solutions (workflows, Unity Catalog, Delta tables, SQL Warehouses) with strong reliability. As a global technology group, we not only make the world cleaner, healthier and more comfortable, but also offer our 52,000 employees a networked and diverse environment where everyone can thrive individually.
li>Experience and understanding of AWS Cloud Services components like Redshift, S3, Kafka, Glue, AirFlow, SageMaker, EMR, Athena, Lake Formation, DynamoDB, Aurora, VPC, IAM and many other Cloud Service modules.
Good communication and organization skills that clearly convey information and ideas through a variety of media to individuals or groups in a manner that engages the audience and helps them understand and retain the message.
You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities.
Analyze large, and complex, data sets Design, develop and coordinate the generation of Data Pipelines Work collaboratively with team to plan and solve complex problems Design for, or optimize existing pipelines, for performance and cost. • Experience with LLMs, Machine Learning & Deep Learning Libraries, AI Application Frameworks, Vector Databases • Experience with Automotive Data / Industry • Experience with Agile / Scrum.
Auburn Hills, MI30 days ago
Design and implement reusable ingestion components using dlt and dbt-core, covering both structured and unstructured data sources, handling high-volume, append-heavy, and schema-drifting patterns. Own the Airflow platform end-to-end: extend and maintain DAGs and shared operators, handle deployments and version upgrades, and provide hands-on support to consuming teams.
The Senior Data Engineer works closely with product managers and engineers to design robust data collection strategies, develop meaningful KPIs, and deliver analytics that directly shape the evolution of in-car infotainment systems. The role centers on working with data generated by connected vehicles and in-car infotainment systems, focusing on digital services such as entertainment, navigation, connectivity, and voice communication.
Designing Data Pipeline Architectures (ETL/ELT) to ensure efficient data flow and integration using tools including GCP big query, astronomer airflow, terraform, or Github. Bachelor's degree or foreign equivalent in Information Technology, Computer Science or a related field and 10 years of progressive, post-baccalaureate experience in the job offered or a related occupation.
p>Employees in this job function are responsible for designing, building, and operating high-throughput backend systems that ingest, process, and serve large volumes of telematics data from connected vehicle fleets. They work at the intersection of distributed systems, data engineering, and API development — delivering reliable, low-latency services that power fleet intelligence products for commercial and enterprise customers.
Auburn Hills, MI30+ days ago
The Data Engineer plays a critical role in enabling this vision by designing, building, and operating enterprise-grade data pipelines and analytical data products that power advanced analytics, optimization, automation, and agentic AI solutions across the Supply Chain organization. The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows.
As a Full Stack Data Engineer supporting the Connected Vehicle Data Team, you will play a key role in designing, developing, and maintaining applications, services, and data solutions that enable connected vehicle data use cases across the enterprise. You will leverage modern software engineering practices, cloud platforms, event-driven architectures, and data engineering principles to develop reliable, data-driven solutions.
What you’ll be able to do: • Work on a small team to deliver migrations from Alteryx to other tools • Design and implement new applications and improvements to our platform to accelerate migrations • Provide thought leadership and architectural expertise and cross-team integration • Ship high-quality, well-tested, secure, and maintainable code • Participate in design discussions about features and ensure technology integrates seamlessly with other pieces of the platform/other tools • Review ongoing production software operations and troubleshoot development issues . The minimum requirements we seek: • 3+ years of Alteryx experience • 2+ years of dbt Core/Dataform/GCP tools • Expertise in Python and other cloud-based data wrangling tools/applications Our preferred requirements: • Experience migrating from Alteryx to other cloud-based tools • Highly effective in working with product managers, product owners, and cross functional users of product teams • Experience developing products using extreme agile programming in a test-driven development (TDD).
Ann Arbor, Michigan18 days ago
p style="min-height:1.5em">Our internal platform, PlantOS, uses the same reinforcement learning toolkits that power self-driving vehicles and humanoid robots—but applied to autonomous, short-interval control of mineral refining circuits. Work across domains—for example, all plant sensor and historian data, or all lab and analytical results—including schema design, orchestration, reliability, and the contract it exposes to everyone downstream.
Southfield, MI30+ days ago
Data Engineer works under the leadership of the Manager, Data Architecture to ensure core enterprise data objectives are accounted for in the design and implementation of the data platform infrastructure. 5 years of experience in modern data platforms based on Azure including but not limited to Azure Data Lake, Azure Data Factory, Azure Databricks, Synapse Analytics (Required).
Southfield, MI30+ days ago
But dig a little deeper, and you'll see what makes us different: we're a relatively jerk-free firm (hey, nobody 's perfect) with a world-class culture, consistent recognition as one of Fortune Magazine's "100 Best Companies to Work For," and an endless array of opportunities. Experience building AI agentic workloads (e.g., Microsoft CoPilot Agents workflow automation, PR review bots, orchestration assistants), or strong interest in learning agent‑based patterns.
Auburn Hills, MI30+ days ago
p>Preferred Qualifications: Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:
GCP native (or equivalent) services including Big Query, Google Cloud Storage, PubSub, Dataflow, Dataproc, and Cloud Build to evaluate and productionalize data pipelines for data ingestion, curation, and consumption. 2. Analytics and data product development to formulate business problems as technical data requirements, identify and implement technical solutions while ensuring key business drivers are captured in collaboration with product deliverables.
You will act as a technical leader, shaping the vision and roadmap for our database platform, with a key focus on embedding AI/GenAI capabilities (e.g., Gemini Enterprise, Model Context Protocol, Dataplex, and Knowledge Catalog) into how engineering teams design, build, secure, and operate intelligent data systems at scale. For quick apply, please reach out to Adil Khan at 248-728- 6424/ adil.khan@stefanini.com.
li>Understanding of Generative AI principles and architectures, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. Proficiency in Google Cloud Platform services, including Compute Engine, Cloud Storage, IAM, and Cloud Functions.
Ann Arbor, MI30+ days ago
If you are a technician or engineer who enjoys diving into the technical details of network systems, understands both light and heavy-duty platforms, and wants to apply some programming skills to automotive diagnostics, this role is a perfect fit. 2+ years of demonstrable hands-on technical experience supporting vehicle systems, software, or testing environments (or a total of 4+ years of experience in lieu of a degree).
Apply now Additional Informationarrow_right Jarett Burns[email protected] Discover more about us play_circle cancel Picture Yourself Herearrow_right View larger map directions_carBy car directions_transitBy public transport autorenew. You support our team as Data Engineer arrow_drop_down Responsibilitiesarrow_right Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake.
Ann Arbor, Michigan30+ days ago
This role is responsible for setting architectural direction for the data systems that underpin our products, make critical design decisions about how we collect, process, store, and serve data at scale, and raise the bar for the entire team through your judgment, communication, and hands-on engineering. Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure.
Your work will create the single source of truth that powers end-to-end traceability, enables engineers to quickly understand impact and coverage, and gives leaders a real-time view of functional readiness and stability across programs. TFRP connects functional intent, requirements, software, hardware, tests, and results into a single, traceable story so engineering teams can see exactly what changed, what was validated, and how stable a function is at any point in its lifecycle.
Auburn Hills, Michigan30+ days ago
Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field - OR equivalent practical experience (bootcamp, internships, certifications, or hands-on projects). Assist senior team members in building and maintaining tables, schemas, and data models inside Microsoft Fabric to support Power BI dashboards.
What you ll be able to do: " Work on a small team to deliver migrations from Alteryx to other tools " Design and implement new applications and improvements to our platform to accelerate migrations " Provide thought leadership and architectural expertise and cross-team integration " Ship high-quality, well-tested, secure, and maintainable code " Participate in design discussions about features and ensure technology integrates seamlessly with other pieces of the platform/other tools " Review ongoing production software operations and troubleshoot development issues The minimum requirements we seek: " 3+ years of Alteryx experience " 2+ years of dbt Core/Dataform/GCP tools " Expertise in Python and other cloud-based data wrangling tools/applications Our preferred requirements: " Experience migrating from Alteryx to other cloud-based tools " Highly effective in working with product managers, product owners, and cross functional users of product teams " Experience developing products using extreme agile programming in a test-driven development (TDD). Experience Preferred: Our preferred requirements: " Experience migrating from Alteryx to other cloud-based tools " Highly effective in working with product managers, product owners, and cross functional users of product teams " Experience developing products using extreme agile programming in a test-driven development (TDD).
You will work at the intersection of senior housing data, healthcare operations data and modern data engineering building robust pipelines, maintaining our Snowflake cloud data lake, developing APIs, and partnering with IT and data professionals to ensure the right data reaches the right people at the right time. Data Storage Formats & Lakes (Data Lakes, Parquet, Avro): Implement data lake architectures using efficient, columnar storage formats to support large-scale analytics, archival, and cost-effective querying.
Plymouth, Michigan30+ days ago
p style="text-align:inherit"/>Responsibilities:
- Build scalable lakehouse pipelines on Azure Databricks using PySpark, Spark SQL, and Delta Lake.
Qualifications:
- Degree in Computer Science, Data Engineering, or related field (or equivalent experience).