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Top Data Engineer Jobs
As a Data Engineer III, you'll design and implement data pipelines for AI/ML solutions, collaborating with teams to create analytical infrastructure. You'll monitor data models, manage cloud architectures, and enhance enterprise data protection while utilizing SQL and NoSQL databases effectively.
As a Principal Data Engineer at Atlassian, you'll build and maintain data lakes, optimize data pipelines, and develop micro-services while collaborating with various teams. Your role involves making data ingestion faster and more efficient, driving large engineering efforts, and enhancing self-serve capabilities to support business growth.
The Data Engineer at UL Solutions will develop ETL/ELT pipelines, manage data ingestion and egress frameworks, and collaborate with cross-functional teams to enhance the data maturity of the organization. The role emphasizes continuous improvement and innovative data solutions.
As a Principal Data Engineer, you'll advance BlackLine's Enterprise Data Platform, ensuring data quality, governance, and security. You'll architect solutions for complex design problems, mentor developers, and manage projects effectively while staying updated on industry trends and best practices in data engineering.
The Data Engineer at Arcadia will design, build and test data connectors and ingestion pipelines, contributing to the integration of client claim and clinical data platforms. Responsibilities include peer code reviews, sprint planning, and maintaining JIRA tasks. The role requires problem solving for coding and data analysis issues within a dynamic healthcare environment.
The Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure to support business intelligence and analytics. Key tasks include developing scalable ETL/ELT pipelines, optimizing data workflows, and ensuring data quality while collaborating with cross-functional teams.
As a Data Engineer at Magna, you will design, develop, and maintain backend systems and APIs. Your role involves leveraging cloud platforms for deployment and ensuring high-performance and secure application infrastructure, including database management and collaboration with cross-functional teams.
The Data Engineer will build and manage analytical data models and pipelines to support various business needs across Atlassian. Responsibilities include owning problems end-to-end, developing technical solutions for data ingestion and processing, and collaborating with teams to adapt to evolving requirements.
Featured Jobs
The role focuses on creating Vehicle Communication Interfaces (VCIs) for low-volume production vehicles. Responsibilities include comprehending manufacturing data, gathering service programming requirements, updating databases using SQL, and assisting technicians with programming issues.
The Data Engineer is responsible for developing and implementing data solutions, ensuring applications meet business requirements, and supporting projects utilizing development life cycle practices. Key responsibilities include coding integrated solutions, testing coverage, peer reviews, and accessing various data systems. The engineer will also analyze data to create essential business metrics and help troubleshoot any issues.
The Principal Data Engineer will enable a world-class engineering practice at Atlassian by developing backend systems, building scalable data pipelines, and designing data models. Responsibilities include managing data solutions, supporting business decisions, and fostering a data-driven culture within the organization.
The Senior Cloud Data Engineer will design, develop, and optimize cloud-based data solutions using SQL, AWS, and Snowflake. Responsibilities include building data pipelines, ensuring data accuracy, mentoring junior engineers, and collaborating with cross-functional teams to meet technical requirements.
As a Senior Manager of Data Engineering at Capital One, you will lead a team to develop and implement data solutions, working with machine learning and cloud technologies. You will collaborate across teams to solve complex problems and enhance customer experiences while ensuring rigorous coding standards. Your role includes mentoring other engineers and keeping up with technological trends.
This role involves leveraging technical expertise to discover analytical opportunities, conduct diagnostic discussions, and translate complex business issues into actionable solutions. The engineer will build custom solutions, engage with enterprise clients, and implement systems to enhance operational efficiency.
The QA Data Engineer enhances quality and reliability of data-driven applications by developing automated validation tools, implementing data verification tests, and designing QA architecture for data processing. Responsibilities include performance testing on AI systems, creating data monitoring systems, and exploring new technologies to optimize data QA processes.
As a Data Engineer Manager at PwC, you will design data infrastructure, develop data pipelines, and lead a team to transform raw data into actionable insights. You'll mentor team members, ensure project completion, and uphold data governance standards while enhancing your leadership skills.
The Data Engineer-Manager at PwC will lead the design and development of data infrastructure, implementing data pipelines and integration solutions while also mentoring team members. Responsibilities include managing project execution, optimizing data processing, ensuring compliance with data governance, and exploring new data technologies to enhance business solutions.
As a Data Engineer Manager at PwC, you will develop data infrastructure, build and manage data pipelines, and coach team members while ensuring project execution aligns with client expectations. Leading with integrity, you will partner with stakeholders to enhance data architecture and promote technology-driven solutions.
As a Data Engineer Manager at PwC, you'll design and implement data solutions, lead project planning and execution, mentor team members, and ensure compliance with data governance standards while motivating the team to meet client expectations.
As a Data Engineer Manager at PwC, you will lead the design and development of robust data solutions. Your role includes creating data pipelines, data integration, and transformation solutions while mentoring your team and ensuring high-quality deliverables that support business growth through actionable insights.
As a Data Engineer Manager at PwC, you will lead a team to design and build data infrastructure, develop data pipelines, and ensure data quality. Your focus will be on integrating and transforming data efficiently while mentoring team members and driving business growth through actionable insights.
As a Data Engineer Manager at PwC, you will lead the design and implementation of data infrastructure and systems, focusing on efficient data processing and analysis. You will develop data pipelines, enhance team capabilities, and ensure project success through mentorship and performance management while adhering to professional standards.
As a Data Engineer Manager at PwC, you will lead the design and development of data solutions, ensuring efficiency in data processing and analysis. Responsibilities include developing data pipelines, collaborating with stakeholders, mentoring team members, and ensuring adherence to technical standards. You will also identify opportunities for business success and implement cloud-based data architecture.
The Data Engineer-Manager is responsible for designing and developing robust data solutions, managing data pipelines, and ensuring data governance. This role involves mentoring team members, implementing data architecture strategies, and collaborating with stakeholders to enhance data processing and analysis.
As a Data Engineer Manager at PwC, you will lead data engineering projects by designing and building data systems, developing data pipelines, and ensuring data is processed efficiently. You'll also mentor team members, manage project execution, and collaborate with stakeholders to meet their data needs. Your role will include enhancing your leadership style, implementing data architectures, and utilizing advanced technologies to drive business growth.
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