Education: Masters – Data Science, Data Engineering, Computer Science, Computer Engineering, Electrical Engineering, Electrical and Computer Engineering, or in a related field of study (will accept equivalent foreign degree); Training: None; Experience: One (1) year in the position above, as a Data Analyst, as a Data Analyst Assistant, Data Engineer (ETL Developer), as a Graduate Research Assistant, or in a related occupation; Other Requirements: Experience must include one (1) years use of all the following: Python, GCP, Hadoop, Azure, Tableau, Alteryx, AWS, C++, Git, Embedded C, SQL, and Docker. Employer: Epitec, Inc. | Position: | Data Engineer (Job Code: 1391).Data Engineer Freudenberg Sealing Technologies GmbH & Co KGData 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. 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. div style="margin-top:0in;margin-right:0in;margin-bottom:8pt;margin-left:0in;line-height:107%;font-size:15px;font-family:'calibri' , sans-serif"> 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.
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. Key Requirements and Technology Experience: Strong Python experience (hands-on coding required) AWS Glue experience with Spark-based Glue jobs Apache Kafka experience for real-time streaming Experience with Client data warehousing Advanced SQL skills Experience with AWS Lambda Experience with Terraform Experience with Git Actions / CI-CD AWS Glue: Proficiency in developing and managing Spark-based Glue jobs. Spark optimization experience Real-time data pipeline architecture Event-driven/serverless architecture AWS certification Experience in enterprise-scale data engineering Strong communication/client-facing experience Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field is preferred Our client is a leading IT Industry and we are currently interviewing to fill this and other similar fulltime positions. div style="margin-top:0in;margin-right:0in;margin-bottom:8pt;margin-left:0in;line-height:115%;font-size:16px;font-family:'aptos' , sans-serif">- Artificial Intelligence & Expert Systems.
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world.
p>CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. 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. 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. Warren, Michigan22 days ago p>DUTIES: Design, develop and refine performance metrics and advisor service metrics for OnStar Blue Button IVA project, Turn-By-Turn, and Onstar Destination Download and Unlocks to meet and maintain SLAs for internal and external customers. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources. They are midway through a Palantir Foundry implementation, and are looking for someone to work closely with stakeholders on low code data engineering solutions. Ideal candidate will have: - 1+ years in stakeholder-facing Data Engineering/Data Analytics position.
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. p>We are looking for Data Engineer on the Wrangling and Visualization Migration Team, candidate will communicate and collaborate with developers, architects, product managers, and feature teams to provide core-platform components that support the web services that are performant, secure, and reliable. Candidate will be defining, designing, coding, testing, and deploying services that interact with multiple large scale data systems as well as the production processes around them, such as deployment. Detroit, Michigan30+ days ago Experience designing and implementing complex ontologies within Palantir Foundry, including creating Object Types, Link Types, and Property Types. Required qualifications : • Strong proficiency with Palantir Foundry, including experience with tools like Pipeline Builder, Code Workbooks, Ontology Manager, and Quiver. As the architectural owner of domain-wide data models and certified datasets, you will drive metric consistency, platform scalability, and business-aligned data solutions in close partnership with Data Science, Analytics, IT, and commercial leadership. THE JOB: We are seeking a Staff Commercial Data Engineer to architect and elevate the Marketing and Revenue Management data platforms that power commercial decision-making across Gaming, Hospitality, Loyalty, and Marketing. Macomb, Michigan4 days ago li>Demonstrated ability to perform data blending, joining, and cleaning to ensure accurate and usable datasets using querying or data engineering software tools, such as SQL, Palantir, etc. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. You can access our privacy policy . By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. 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. This role is the team leader in helping extract, transform, and store the Firm's valuable data assets to achieve better operational efficiencies and provide better services to its clients through modern data movement pipelines. Meets regularly with business line customers to gain a better understanding of their business processes and of the customer''s evolving data needs to help identify potential data-related projects. 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. If you do not want to receive any further emails or updates, please reply and request to %20unsubscribe@syntricatetechnologies.com?subject=Unsubscribe%20Me. You have received this email as we have your email address shared by you or from one of our data sources or from our member(s) or subscriber(s) list. p>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. 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. 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. p>You will partner closely with product owners, architects, data engineers, report and analytics teams, and source-system teams to define trusted data products, improve data quality and reliability, and deliver scalable solutions that support operational and executive decision-making. Partner with product owners, architects, source-system teams, report and analytics teams, and data consumers to translate business needs into well-defined technical solutions and trusted data products. 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:
Troy, Michigan30+ days ago Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques (Data Modeling etc.). With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape. li>Experience supporting governance, risk, and compliance workflows, including risk reporting, audit data requests, controls monitoring, controls testing, compliance metrics, governance, risk, and compliance tool integrations, and large language model-enabled applications using retrieval-augmented generation, vector or hybrid retrieval, tool or function calling, evaluation or monitoring, prompt-injection defenses, and secure access patterns. Developing AI-enabled capabilities that accelerate governance, risk, and compliance and cyber operations, including evidence summarization, control testing assist, policy question-and-answer, investigation copilots, ticket triage, and exception reasoning using agentic patterns, workflow orchestration, and retrieval-augmented generation. Farmington Hills, MI4 days ago p>A little about us: First Merchants is guided by a genuine philosophy of being a meaningful place to work and having a prosperous impact across all walks of life throughout the communities we serve, including consumers, businesses and other organizations. This position will collaborate with teams of IT/BI and non-IT personnel to help create, manage, maintain and develop the enterprise data framework and pipelines. Ann Arbor, Michigan20 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.
Sterling Heights, MI13 days ago ul>Design, build, and maintain scalable cloud-native data pipelines-including ETL/ELT, event-driven, and serverless patterns using Azure Functions and related services-that ingest, transform, and load data from Continental's diverse source systems including ERP, POS, HRIS, and finance platforms into a centralized lake or data warehouse. A Taste of Who We Are: Backed by a tireless commitment to high quality, innovative culinary offerings and unparalleled client and guest services, Continental consistently ranks among the top contract dining and refreshment providers in the nation according to Food Management Magazine, the industry's source for food service news and trends. |