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Top Remote Data Engineer Jobs in Detroit, MI
The Senior Data Engineer will develop technical plans for data migration involving ingestion, transformation, storage, and access control primarily using Azure. Responsibilities include ensuring data quality, implementing robust data validation, and providing technical guidance to teams while keeping up with advancements in data engineering technologies.
The Senior Data Engineer will work with the BAI team to develop data solutions, overseeing data migration and management, ensuring data quality, using Azure's Data Factory, and providing technical guidance. The role requires collaboration with cross-functional teams to address challenges in various domains including supply chain and finance.
The Senior Data Engineer will be responsible for developing technical migration plans, building scalable data ingestion frameworks, ensuring data quality, and providing technical guidance during the migration process. Collaboration with cross-functional teams to deliver high-quality solutions in various business domains is essential.
The Data Entry Specialist will review and file legal documents, ensuring accuracy in the documentation process. This role involves troubleshooting discrepancies, participating in training sessions, and completing additional assignments as needed.
The Lead Data Manager oversees data management in clinical trials, ensuring effective communication with project teams and clients. Responsibilities include coordinating data management activities, developing critical study documentation, conducting user acceptance testing, and ensuring data quality and integrity. The role also involves training team members and maintaining project records.
As a Data Visualization Engineer, you will create intuitive dashboards and visualizations from complex data to enhance decision-making. You'll collaborate with teams, build user interfaces, and leverage data analytics to provide actionable insights. This role requires independent decision-making and a blend of creativity and technical skills in developing a cloud-based analytics platform.
The Principal Database Administrator will support mission-critical database systems, provide technical direction for complex data challenges, and manage multiple projects. Responsibilities include designing, implementing, and maintaining database systems while ensuring performance optimization and after-hours support. Strong expertise in SQL Server, AWS, and Azure is required, along with problem-solving skills and the ability to work in a dynamic environment.
The Lead Data Engineer will oversee the design, construction, and optimization of data orchestration and pipeline architecture. Responsibilities include implementing ELT/ETL processes, managing data architecture, supporting multiple teams, and mentoring junior engineers. The role demands a hands-on approach to build data systems while contributing to the company's data strategy.
As a Senior Data Engineer, you will design and develop critical system components, optimize data pipelines, and collaborate with product managers, data scientists, and analysts to enhance data accessibility and quality. Your responsibilities include building batch and streaming data pipelines, monitoring systems, and ensuring responsible data governance.
The Sr. Global Privacy and Data Protection Counsel will manage Pendo’s global data privacy needs, ensuring compliance with regulations. Responsibilities include contract negotiation, privacy program leadership, collaboration with teams on privacy-by-design strategies, and training on data protection laws.
The Database Administrator is responsible for the design, implementation, maintenance, and performance optimization of SQL Server databases. Key responsibilities include managing database security, backups, troubleshooting issues, and providing technical support to stakeholders. The role also involves documenting procedures and reviewing code from software teams.
As an Analytics Engineer I, you will manage the data pipeline between raw data systems and financial data users, partner with Finance to create Certified Datasets, automate processes through programming, validate data structures with Engineering, and ensure data quality.
Top remote Companies in Detroit, MI Hiring Data + Analytics Roles
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