Top Data Engineer Jobs

Seeking an experienced Senior Data Engineer to lead the design, development, and management of scalable data pipelines and architecture for a cell therapy manufacturing platform. Responsibilities include data pipeline implementation, collaboration with cross-functional teams, data preprocessing for machine learning models, and documentation of processes. Requirements include a Bachelor's or Master's degree in Computer Science, 6+ years of data engineering experience, proficiency in Azure services, programming skills in Python or C#, and experience in data visualization tools and data governance.

As a Data Engineer at Baker Hughes, you will focus on commercially-facing analytics development projects involving large, complex data sets. Responsibilities include implementing data warehouse designs, leading analytics development, and collaborating with cross-functional teams to deliver innovative solutions. Key requirements include proficiency in Python, machine learning techniques, algorithm development, and AI/ML model deployment.

The Senior Director, Technology & Data will lead Casdin's IT strategy, oversee technology operations, and manage a team responsible for IT infrastructure and application development. This role involves collaborating with various teams to align technology solutions with business objectives and ensuring effective data management.

The Senior Lead Data Analytics Platform Engineer will design and optimize a high-performance data analytics platform, focusing on scalable data systems and cloud-native architectures. Responsibilities include leading teams, optimizing data pipelines, ensuring data quality, implementing best practices in data governance, and driving innovation in data engineering processes.

As an Automation Engineer on the AI and Data Operations team, you will develop and maintain modular tools that help non-technical employees automate tasks, boosting productivity across departments like Sales, Marketing, and Finance. Responsibilities include building proof-of-concept workflows, expanding into AI solutions, and creating a reusable component library for AI-driven automation systems.

The Data Analyst/Engineer at PragerU will be responsible for developing and maintaining data analytics and performance tracking systems. They will work closely with the marketing team to analyze data, evaluate ROI, and create dashboards for performance analysis. Additionally, they will design and maintain scalable data pipelines, develop algorithms for actionable insights, and automate manual data processes.

Experienced Data Engineer Consultant responsible for developing and optimizing data infrastructure, dimensional modeling, and data visualization solutions for clients. Must possess strong SQL skills and have expertise in ETL processes.