Top Data Engineer Jobs

Design, implement, test, deploy, monitor, and support new and existing modules of the Data Platform for a high-tech home security company. Collaborate with external companies, internal teams, analysts, and data scientists to analyze data and ensure home security. Embrace a hybrid work model with flexibility between office and home.

The Senior Data Engineer - Datalake analyzes, designs, and develops complex systems and processes. Responsibilities include creating application systems design documents, fulfilling end-user requests, leading cross-functional initiatives, and delivering quality solutions on time. The role demands strong collaboration and problem-solving skills.

The Staff Data Engineer will lead the development of AI-driven data solutions, create real-time data pipelines, define architecture for Cloud Data Platform, and mentor staff on data engineering best practices, while collaborating with various teams to achieve enterprise data initiatives.

The Sr. Azure Data Engineer is responsible for leading the development of data-driven solutions while designing architecture and delivering projects. The role includes collaboration across teams, engaging clients, and implementing Advanced Analytics solutions using Microsoft Azure and Databricks. Extensive experience in data engineering and Microsoft technologies is essential.

The Cloud Data Engineer III will architect, develop, and implement cloud data solutions. Responsibilities include optimizing data pipelines, implementing ETL processes, and working with big data technologies on AWS. The role involves collaborating with software engineers and data scientists to maintain and enhance existing data systems.

The Lead Data Engineer will lead the development and implementation of data integration solutions. Responsibilities include managing a team, designing robust data pipelines, ensuring data quality, and optimizing workflows. This role involves collaboration with stakeholders and mentoring junior members in a fast-paced environment.

The Senior Data Engineer will develop and manage a robust data ingestion platform using Azure technologies and tools. Responsibilities include designing data pipelines, writing complex SQL queries, participating in agile ceremonies, and ensuring data quality and validation in the data warehouse.

The Senior Data Engineer at Kalibri Labs will design, develop, and deploy scalable data pipelines. Responsibilities include mentoring other data engineers, optimizing data processes, and collaborating with cross-functional teams. The role requires managing data availability and integrity while implementing automated testing and maintaining integration pipelines.

The Senior Data Engineer will build and maintain data models, collaborate with teams for data analysis, ensure coding standards, and set up monitoring systems for data KPIs. The role requires deep knowledge in scalable data architecture and ETL processes, along with strong analytical and communication skills.

The Senior Data Engineer will design, implement, and maintain data pipelines, ensuring data integrity and best practices. They will collaborate with cross-functional teams on database systems and support R&D projects and production tasks, focusing on database administration and documentation in a secure environment.

The Senior Data Engineer will design, develop, and maintain complex ETL pipelines using SQL and PySpark, focusing on processing time-series data and ensuring data quality. The role involves collaborating with product stakeholders and contributing to the production of data products.

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 Senior Data Engineer at Cruise, you will architect & automate end-to-end data processing and management on Google Cloud Platform. Collaborate with XFN partners, build data pipelines, and mentor junior team members. Requirements include experience with Big Data Systems, Data Lakes/Warehouse/Lakehouse, ETL/ELT pipelines, Python/Java/C, Data Modeling, and SQL programming.

The Senior Data Engineer will expand and optimize data pipeline architecture, build data pipelines for the machine learning platform, and develop integration architecture for various data sources, while collaborating with cross-functional teams.

The Senior Data Engineer will design and maintain data processing pipelines, focusing on Scala and Spark, while collaborating with healthcare projects to improve the quality of care data. Responsibilities include writing tests, conducting code reviews, and working alongside DevOps for CI/CD processes.

The Senior Data Engineer will lead analytics and data warehousing projects using Microsoft technologies. Responsibilities include developing data solutions, collaborating with teams, and advising clients on analytics strategies. The role emphasizes mentorship and client success, within a consulting firm focused on digital innovation.

The role involves executing data architecture and management projects, transitioning existing data sets to new technologies, leading data analysis using machine learning, managing data ingestion processes, and improving data quality and vendor management, all while collaborating with commercial teams to understand data flow and investment processes.