UNKNOWN

FEED

Details: This job's duties may include task assignments to support, administer, or access systems, which contractually require ADP I or II clearance and U.S. citizenship or naturalized citizenship. The Data Engineering Team also creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations.

Optech, LLC

Data Engineer

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. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.

HOUR

StratAcuity Staffing Partners Inc

The right candidate will have excellent communication skills, solid coding skills, broad knowledge of software engineering in areas such as Data Infrastructure and Warehouses, Data Ingestion, Distributed Databases, Compute Frameworks, Stream Processing, Observability and Build Infrastructure. Our Cloud and Data Engineering organization is working on accelerating autonomous driving by providing access to petabytes of data collected from our large fleet of autonomous and non-autonomous vehicles.

Woven Planet Holdings Co

Senior Software Engineer - Data Acquisition

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This is a highly technical leadership role responsible for building scalable, cloud-native data products across a multi-cloud Lakehouse architecture with a strong focus on Databricks, Distributed Data Processing, near Real-Time Streaming, AI/ML, and Generative AI. Define and execute the technical roadmap for Customer, Marketing, and OnStar\Digital data products, using cloud-agnostic, portable architecture that enable interoperability across Azure, GCP, AWS, and other platforms while supporting GM's long-term multi-cloud strategy.

General Motors Co

Data Engineering Manager

This role is designed for a technical expert who excels at building robust data pipelines, managing cloud infrastructure as code, and translating complex datasets into compelling visual narratives for stakeholders and leadership. Beyond the technical build, you will act as a consultant to the business, using Looker Studio and the Microsoft Office suite to present insights that influence strategic decisions at management level.

Ford Motor Company

Technical & Platform Familiarity: Deep conceptual knowledge of modern cloud environments (e.g., Google Cloud Platform), automated BI semantic layers, advanced analytics workflows, and AI agents with experience successfully migrating legacy reporting into modernized platforms. Synthesize Voice of Customer (VoC) and industry data: Build cohesive feedback loops that make customer and dealer sentiment and industry benchmark insights highly visible and actionable from executive leadership to the dealership floor.

Ford Motor Co

Director, FCSD Data Analytics and Business Intelligence

Founded by Related Companies, Related Digital is a leading vertically integrated data center development and investment platform that partners with leading technology companies to provide best-in-class digital infrastructure and holistic energy solutions through responsible, community-centered development. Its vertically integrated platform encompasses site acquisition, entitlements, supply chain procurement, steel fabrication, construction management, and utility-scale energy solutions, providing hyperscalers with differentiated, end-to-end execution.

The Related Companies LP

2027 Summer Analyst, Construction (Data Centers)

Support rack-level network connectivity as part of installation — applying VLAN assignments and switch port configurations to specifications provided by customer network engineering teams — without owning network architecture or design. The role requires solid working knowledge of rack-level networking to coordinate with customer network teams and support installation-time connectivity, but architecting network solutions is not a primary responsibility of this role.

YEAR

Utilidata

Application Engineer, Data Center Hardware

Required: 7+ years of professional experience in data protection and information security, which may include Data Discovery, Data Classification and Rights Management (DCRM, DRM, IRM), Data Access Governance(DAG), Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), Data Security Posture Management (DSPM), Cloud Security and SaaS Security (e.g., AWS security, Azure/M365 security, Databricks, Snowflake). Hands-on technical experience and/or architecture-level experience with Microsoft Purview, including one or more of the following: DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities.

Deloitte

Cyber Data Protection Manager

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. 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 .

PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients—like you—never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.

PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy, human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.

Let’s combine your ​aspirations with our world-class capabilities to achieve your goals.

Data Strategy-Manager

Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients; Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows; Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases; Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards; Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases; Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes; Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases; Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams; Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps; Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and, Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.

PricewaterhouseCoopers LLP

Applied AI Health Data System Engineer-Senior Manager

From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability. Successful candidates will be an expert in using state-of-the-art technologies such as computer vision, natural language processing (NLP), time-series analysis, graph neural networks, and other AI/ML subdomains to solve complex business problems across diverse applications and use cases.

Data Science Manager, Gen AI - SFL Scientific

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 . As a Manager, you will supervise, develop, and coach teams while managing client service accounts and driving engagement workstreams, delivering quality deliverables that meet client expectations.

Data Governance- Manager

The Director, Clinical Data Management provides strategic and operational leadership and oversight of data management activities to ensure the quality, integrity, consistency and inspection readiness of clinical databases for subsequent analysis, reporting and regulatory submissions. Participate in cross functional team meetings, as requested, and communicate with all departments regarding project statuses/issues, provide ongoing feedback on data management workflows to increase efficiency and provide feedback to CRAs.

PTC Therapeutics

Director, Clinical Data Management

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

Senior Data Scientist Engineer - SFL Scientific

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.

Databricks Data Engineer

Working with a team of interdisciplinary data scientists, engineers, architects, and consultants, our work includes novel areas such as cancer detection, drug discovery, optimizing population health and clinical trials, autonomous systems and edge AI, agentic solutions and framework design, and consumer product innovation. From strategy to execution, this team delivers integrated, end-to-end support and advisory services covering valuation modeling, cost optimization, restructuring, business design and transformation, infrastructure and real estate, mergers and acquisitions (M&A), and sustainability.

Data Scientist Engineer - SFL Scientific

Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including: Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level). Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially.

Ally

Senior Director - Applied Data & AI

Required: 4+ years of professional experience in data protection and information security, which may include Data Discovery, Data Classification and Rights Management (DCRM, DRM, IRM), Data Access Governance (DAG), Data Loss Prevention (DLP), Cloud Access Security Broker (CASB), Data Security Posture Management (DSPM), Cloud Security and SaaS Security (e.g., AWS security, Azure/M365 security, Databricks, Snowflake). Hands-on technical experience and/or architecture-level experience with tools such as Microsoft Purview, Cyera, Securiti.ai, Varonis, including several of the following: DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities.

Cyber Data Protection Specialist - Senior Consultant

Participate in cross functional team meetings, as requested, and communicate with all departments regarding project statuses/issues, provide ongoing feedback on data management workflows to increase efficiency and provide feedback to CRAs. The Associate Director, Clinical Data Management is responsible for providing leadership and oversight of data management activities to ensure accuracy and consistency of clinical databases for subsequent analysis and reporting.

Data Architect Jobs in Michigan

Data Engineer Optech, LLC

Data Engineer StratAcuity Staffing Partners Inc

Senior Software Engineer - Data Acquisition Woven Planet Holdings Co

Data Engineering Manager General Motors Co

Data Engineer Ford Motor Company

Director, FCSD Data Analytics and Business Intelligence Ford Motor Co

2027 Summer Analyst, Construction (Data Centers) The Related Companies LP

Application Engineer, Data Center Hardware Utilidata

Cyber Data Protection Manager Deloitte

Data Strategy-Manager PwC

Applied AI Health Data System Engineer-Senior Manager PricewaterhouseCoopers LLP

Data Science Manager, Gen AI - SFL Scientific Deloitte

Data Governance- Manager PwC

Director, Clinical Data Management PTC Therapeutics

Senior Data Scientist Engineer - SFL Scientific Deloitte

Databricks Data Engineer Deloitte

Data Scientist Engineer - SFL Scientific Deloitte

Senior Director - Applied Data & AI Ally

Cyber Data Protection Specialist - Senior Consultant Deloitte

Associate Director, Clinical Data Management PTC Therapeutics

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