Top Remote Data Engineer Jobs in Ann Arbor, MI
Design, develop, and maintain software applications using SQL, Python, Snowflake, Kafka, AWS, Terraform, Kubernetes, and Docker. Collaborate with product teams, participate in SDLC, and deploy data-intensive systems. Minimum 5 years of experience required.
Experience in quality assurance and application development, strong test automation skills in Java and Python, testing large-scale production systems, evaluating AI/ML models, creating comprehensive test plans, and collaborating with developers to design testing strategies for features being developed.
The Manager of Machine Learning Engineering at Samsara leads teams in building and managing machine learning solutions for customers, focusing on computer vision, sensor fusion, and AI deployment. This role is fully remote in the US and Canada, with a focus on impactful technology development for industries like transportation and manufacturing.
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Design and develop data models in Snowflake with DBT for internal business partners. Write advanced SQL queries for ELT/data warehousing/Business Intelligence. Data transformation, documentation, and collaboration. Promote business data models and new metrics for Self Service Reporting. Ad-hoc queries/reports support. Follow data governance best practices. Work in a fast-paced team environment.
The Sr. SQL Data DBA participates in the design, development, implementation, review, and monitoring of all on-premises and cloud database environments. Collaborates with software development, data engineering, and QA teams to ensure efficient operations and provides guidelines on best practices.
Seeking a skilled MLOps Engineer to spearhead model deployments for Computer Vision and Machine Learning. Responsibilities include designing and implementing MLOps pipelines, managing the lifecycle of models, optimizing cloud infrastructure, collaborating with the team, and staying updated on industry trends.
Lead Data Management Consultant proficient in Python scripting. Responsibilities include use case development, automation, consulting, product development influence, knowledge sharing, documentation, and analytics. Minimum qualifications include a Bachelor's or Master's degree and 8 years of experience in data management solutions.
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The Data Operations Manager at Canoe Intelligence will focus on driving subject matter expertise to the execution of new products, managing service delivery, and leading improvements in data quality and analysis. Responsibilities include owning quality, advocating for standards, deriving insights, and driving continuous improvement. The role requires 5+ years of experience working with private market data and strong project management skills.
As a Senior Data Engineer at Two Barrels, you will work closely with our Software and Analyst teams to manage everything that has to do with data. This role will help get large datasets into the hands of people that need it while also making sure it doesn't adversely impact other things we have going on in our software ecosystem. There will be a heavy focus on infrastructure, data pipelines and scalable database design.
Experienced Data Engineer needed to support data insights and analytics efforts at Vivante Health. Collaborate with Data Science team to integrate AI program, expand data systems, automate ML workflows, enhance data quality, and support BI environment. Opportunity to shape future developments in a compelling problem domain.
Top remote Companies in Ann Arbor, MI Hiring Data + Analytics Roles
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