Top Data Engineer Jobs in Detroit, MI
Design, build, and maintain research data platforms and pipelines for analytics and data science. Collaborate with data scientists to acquire and aggregate data at scale. Develop tools to monitor platform health and performance. Collaborate on data flows for new feature prototypes. Perform data analyses and exploration as needed.
Join our autosquad team to automate order-taking process through AI by managing data warehouses, cleaning/preprocessing datasets, developing ETL pipelines, and collaborating with ML Ops and software engineers.
Seeking a VP, Head of Data to lead the data team, define organization-wide data approach, and drive data's use to increase performance and competitiveness. Responsible for data architecture, engineering, operations, science, analytics, and governance. Will shape strategic direction through data-driven decision-making and manage data assets lifecycle, activation, analytics, and protection. Collaborate with cross-functional teams to develop innovative solutions and lead a high-functioning data governance practice. Drive transformation and strategy execution for specific business results.
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As a Senior Data Operations Specialist at ServiceNow, you will play a significant role in evolving data services for AI and ML solutions, supporting the engineering team, and providing excellent customer support. You will troubleshoot data requests, understand the platform architecture, and ensure issues are resolved in a timely manner.
Design and implement advanced signal processing techniques for automotive applications, collaborate with cross-functional teams to integrate algorithms, conduct testing and validation, optimize algorithms for performance, stay current with advancements in signal processing and automotive technologies.
The CDE Data Engineer will be responsible for implementing and maintaining systems that ingest, process, and store vast amounts of data from internal and external partner systems. They will work with a variety of technologies to build models, alerts, reports, and visualizations from large datasets.
Atlassians have flexibility in where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company. Atlassian is ...
Seeking a dynamic Director of Data Analytics to lead adoption of Big Data tools, complex data analysis, and developing data technologies. Responsibilities include providing strategic leadership, creating data products, leading business analysis, partnering with product and engineering teams, and overseeing data analysis activities.
Build large, scalable platforms using cutting-edge data technologies. Define company data assets, own data architecture for projects, improve data quality monitoring, collaborate with cross-functional teams, design sophisticated data models.
Seeking a collaborative Senior Data Engineer with strong experience in data modeling, SQL, Python, DBT, and Snowflake. Responsibilities include mentoring junior data engineers, building data transformations, and optimizing ETL jobs for processing large amounts of data. Must have 6+ years of experience in data engineering, a Bachelor’s degree in computer science, and proficiency in cloud native infrastructure (Azure), Docker, and object-oriented programming.
Top Companies in Detroit, MI Hiring Data + Analytics Roles
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