Top Data Engineer Jobs
As a Data Engineer, you'll collaborate with Product Owners, Architects, and Developers to build, deploy, and maintain complex applications using microservices, Node.js, and Python in an AWS environment. You'll focus on ensuring high-quality software delivery through automation, testing, and continuous integration while mentoring team members.
The Performance Science Data Engineer role involves utilizing data science techniques to enhance live entertainment experiences, focusing on analyzing performance metrics and improving overall event execution. The position may collaborate cross-functionally to drive data-driven decisions and optimize audience engagement.
The PowerBI Data Analytics Developer is responsible for scripting, data extraction, and developing automation workflows to create dashboards using Power BI. This role involves integrating data from cybersecurity tools, automating reporting, and analyzing security data to enhance compliance and vulnerability management. They will utilize Python and PowerShell for scripting and implement efficient ETL processes.
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As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.
The Data Engineer will be responsible for building data pipelines and infrastructure for ML models, analyzing data processing requirements, troubleshooting production issues, and collaborating with different teams at Stanford Health Care. Preferred skills include knowledge of multiple programming languages, resource management, and a collaborative mindset.
The Data Architect at Expel will evolve the data architecture for improved data lineage, quality, and governance. This role involves optimizing legacy systems, integrating new data patterns, and collaborating with teams to enhance data pipelines and storage. Strong leadership skills are necessary to guide multiple teams towards a mature data strategy.
The Data Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
The HR Data Operations Manager will oversee the integrity and quality of HR data systems, develop data standards, ensure compliance with data privacy regulations, and collaborate with various teams to enhance data management practices. Responsibilities include monitoring data quality and managing security incidents.
The Reporting Analyst will support the Loan Servicing & Asset Management department by performing data analytics, maintaining KPIs, developing Power BI and SSRS reports, and assisting in compliance with regulatory guidelines. Responsibilities include data collection, testing, and project participation while ensuring accuracy and confidentiality in reporting.
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