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This role is ideal for a strong technical leader with hands-on experience delivering cloud-based data platforms, scalable data pipelines, and enterprise data solutions that support analytics, reporting, data science, and AI use cases. This role will be responsible for creating, maintaining, and optimizing enterprise data pipelines and related processes that support strategic analytics, machine learning, and AI-driven business capabilities across Insurance line of business.

<p>Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.</p>
<p>We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.</p>
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Apolis

Manager Data Engineer

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Required: 8+ years of experience in data engineering and distributed data platforms, including architecting and governing enterprise-scale Big Data, cloud, and AI/ML platforms across Azure, AWS, GCP, and on-premises environments, with deep Databricks Lakehouse expertise: Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, PySpark, and Spark SQL. 3+ years of experience designing and developing Cloud based Azure and AWS-based data engineering solutions, with hands-on experience using services such as AWS Glue, EMR, EKS, S3, Lambda, RDS, OpenSearch and CloudWatch.

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Deloitte

Manager, Cloud Data Engineer

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Required: 5+ years of experience in data engineering and distributed data platforms, including architecting and governing enterprise-scale Big Data, cloud, and AI/ML platforms across Azure, AWS, GCP, and on-premises environments, with deep Databricks Lakehouse expertise: Delta Lake, Delta Live Tables, Unity Catalog, Auto Loader, PySpark, and Spark SQL. 2+ years of experience designing and developing Cloud based Azure and AWS-based data engineering solutions, with hands-on experience using services such as AWS Glue, EMR, EKS, S3, Lambda, RDS, OpenSearch and CloudWatch.

Cloud Data Engineer

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. None of it works without data: every set point those models adjust, and every decision we make about a plant, rests on turning messy industrial reality into trustworthy, queryable, model-ready data.

Mariana Minerals

Sr. Data Engineer

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. 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>Stefanini is a global IT services company with over 24,000 employees across 77 offices in 40 countries across the Americas, Europe, Africa, Australia, and Asia. Since 1987, Stefanini has been providing offshore, onshore and nearshore IT services, including application development and outsourcing services, IT infrastructure outsourcing (help desk support and desktop services), systems integration, consulting and strategic staffing to Fortune 1000 enterprises around the world. <br><br> With a base of over 500 active clients, including more than 300 multinationals, Stefanini maintains a strong presence in industries such as financial services, manufacturing, telecommunications, chemical, services, technology, public sector, and utilities. Clients benefit from Stefanini's financial stability, sustained year-over-year growth, and zero net debt. The corporate global headquarters is located in Sao Paulo, Brazil with European headquarters in Brussels and North American headquarters in metropolitan Detroit.</p>

Stefanini, Inc

GCP Data Engineer

SmartSearch

Big Data Engineer Responsibilities include: Design, develop, and maintain scalable backend services and APIs that process high-volume telematics and connected vehicle data. Proven experience designing and developing RESTful/gRPC APIs, distributed backend systems, and high-volume data processing solutions.

Akkodis Group AG.

Sr. Big Data Engineer

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Technology Lead - USTechnology|Cloud Platform|AWS Database Technology|Data on Cloud-DataStore|Snowflake Technology|Analytics - Packages|Python - Big Data Technology|ETL & Data Quality|IBM Infosphere Datastage Snowflake, AWS, PythonPython, DataStage, CI/CD. 2250947No5439237910.00.009/01/2026Cloud Data Engineer-Snowflake/AWSIn the assigned Job Role of Technology Consultant 2, your Area Of Responsibility will be as below: Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided.

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<h1>Infosys is a global leader in next-generation digital services and consulting. We enable clients in 45 countries to navigate their digital transformation.</h1>
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<p>With over three decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.</p>
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Infosys Ltd

Cloud Data Engineer-Snowflake/AWS

Requirements: The ideal candidate has strong hand son experience with Snowflake on AWS, Python based ETLELT development, and enterprise scheduling orchestration tools like Control M, along with legacy enterprise ETL experience in IBM DataStage. IBM DataStage Solid experience building and maintaining DataStage jobs, handling complex transformations, and supporting production workloads.

ICONMA, LLC

Senior Data Engineer Snowflake / AWS / Python / DataStage

Using Jira in Agile environments to streamline task management and sprint tracking, enabling efficient development of high-throughput systems using Java and Spring Boot for connected vehicle data by leveraging Jira's collaboration and reporting features to support team productivity, transparency, and near real-time data availability. Utilizing ApacheBeam, SpringBoot, Dataflow, Airflow, BigQuery, Cloud Storage, Cloud Build, or Cloud Run by applying GCP Cloud data implementation projects experience.

Ford Motor Co

Full Stack Data Engineer

Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources.

<p>CVS Health offers a world of promising job opportunities across a diverse range of careers in everything from corporate and pharmacy roles to retails positions. No matter where you work at CVS Health, your unique skills, talents and abilities are welcome and valued. We recognize and reward greatness and want our employees to know their work is making a difference in the lives of millions. Join us today. Together we can continue making innovative, high-quality health and pharmacy services safe, affordable and accessible – for all. </p>

CVS Health Corp

Senior Data Engineer

We are looking for a Data Engineer to design, build, and maintain end-to-end data solutions - from raw data ingestion through to curated metrics that power advanced analytics, business intelligence dashboards and business decision-making. This role sits at the intersection of data engineering, business intelligence, data science, and data governance, and is ideal for someone who enjoys solving a business problem from raw datasets to endpoint to business-ready metric.

Ford Motor Company

Sr. Specialist, Yield Management - GTM Data Engineer

1+ year leading complex, cross-functional data projects and technical teams, including experience with Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources. 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.

Deloitte Touche Tohmatsu Ltd

Sr Databricks Data Engineer

Since 2010, we've helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.

SynergisticIT is a California-based technology company specializing in software development solutions. Founded in 2010, it focuses on building scalable and efficient applications for businesses across various industries.

The company provides custom software development services, including application design, system integration, cloud solutions, and technology upgrades. Its development approach emphasizes agility, innovation, and aligning solutions with client needs.

SynergisticIT works with organizations of different sizes, helping them adapt to evolving digital demands through reliable and high-quality software. By combining technical expertise with a results-driven mindset, the company aims to deliver solutions that enhance business performance and support long-term growth.

Overall, SynergisticIT positions itself as a bridge between talent and opportunity in the technology sector. By integrating consulting, development, and upskilling services, the company aims to create value for both organizations seeking skilled professionals and individuals pursuing careers in IT.

SynergisticIT

Junior java developer spring boot and AI focus/Data engineer

Since 2010 , SynergisticIT has helped candidates land full-time roles at organizations such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Walmart Labs, Client, Banking, Client, Client , and hundreds more. They're filtered by ATS systems, keyword screening, and recruiters looking for job-ready signals—specific stacks, strong project depth, relevant certifications, and clear experience narratives.

Junior java developer spring boot /Data engineer

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.

Accenture Plc

Data Engineer

Based in Dearborn, Michigan, this hybrid role (4 days on-site, 1 day remote) leverages connected vehicle data and advanced analytics to identify Diagnostic Trouble Codes across critical subsystems, including Infotainment, Body Control Modules, and Advanced Driver Assistance Systems. Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more.

Connected Data Engineer

The Data Engineer is a key member of the Detroit Pistons Business Strategy & Analytics department, responsible for developing, maintaining, and optimizing the data infrastructure that supports business reporting, analytics, fan engagement, revenue generation, and operational decision-making across the organization. Support the design and implementation of Microsoft Fabric components, including OneLake, Lakehouse, Warehouse, Data Factory pipelines, Dataflows Gen2, notebooks, and Power BI integration.

Detroit Pistons

Your work shows up fast: you'll be part of a small team at a roughly 600-person company, with no layer of committees between what you build and the people who use it, so you'll see your pipelines and integrations change how our trading, recycling, and operations teams make decisions. You'll build with modern tools - we run on Databricks and are rolling out AI tools, including Claude, across the company, and you'll be expected to use them in your own work and help the business put them to use, not wait for permission.

Schupan and Sons Inc

Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines. Drives adoption of dbt for data transformation and evaluates the integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow.

<p>Sedgwick Claims Management Services, Inc., is a leading global provider of technology-enabled risk and benefits solutions. At Sedgwick, caring countsSM; the company takes care of people and organizations by delivering cost-effective claims, productivity, managed care, risk consulting and other services through the dedication and expertise of nearly 15,000 colleagues in some 275 offices located in the U.S., Canada, the U.K and Ireland. Sedgwick facilitates financial and personal health and helps customers and consumers navigate complexity by designing and implementing customized programs based on proven practices and advanced technology that exceed expectations. Sedgwick’s majority shareholder is KKR; Stone Point Capital LLC, La Caisse de dépôt et placement du Québec (CDPQ) and other management investors are minority shareholders.</p>

Sedgwick Claims Management Services, Inc.

One or more of the following certifications: Microsoft Certified: Fabric Analytics Engineer Associate (DP-600), Microsoft Certified: Fabric Data Engineer Associate (DP-700), Microsoft Certified: Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional. As an Engineer III (Data Engineer) within the Data Solutions team, you will help design, build, and support enterprise-scale data and analytics solutions that enable business teams to make trusted, data-driven decisions.

Data Engineer Jobs in Novi, MI

Manager Data Engineer Apolis

Manager, Cloud Data Engineer Deloitte

Cloud Data Engineer Deloitte

Sr. Data Engineer Mariana Minerals

GCP Data Engineer Stefanini, Inc

Sr. Big Data Engineer Akkodis Group AG.

Cloud Data Engineer-Snowflake/AWS Infosys Ltd

Senior Data Engineer Snowflake / AWS / Python / DataStage ICONMA, LLC

Full Stack Data Engineer Ford Motor Co

Senior Data Engineer CVS Health Corp

Sr. Specialist, Yield Management - GTM Data Engineer Ford Motor Company

Sr Databricks Data Engineer Deloitte Touche Tohmatsu Ltd

Junior java developer spring boot and AI focus/Data engineer SynergisticIT

Junior java developer spring boot /Data engineer SynergisticIT

Data Engineer Accenture Plc

Connected Data Engineer Ford Motor Co

Data Engineer Detroit Pistons

Senior Data Engineer Schupan and Sons Inc

Sr. Data Engineer Sedgwick Claims Management Services, Inc.

Engineer III, Global Technology - Data Solutions Expeditors International of Washington Inc

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