Top Data Engineer Jobs
You will lead small teams of engineers on data engineering projects, translating requirements into technical solutions, writing and developing code, conducting unit testing, and collaborating with various teams. Your role includes driving execution of plans, ensuring efficiency and compliance, and mentoring developers while promoting high standards of code quality and system reliability.
As a Principal Data Engineer at Walmart, you will lead data analytics for display advertising, building data pipelines and dashboards, and working closely with engineering and data science teams to enhance data quality and deliver predictive models. You'll analyze campaign performance, market efficiency, and share insights with stakeholders to drive business growth.
The Staff Data Engineer will design, build, and optimize data architecture and pipelines for Walmart’s Risk Technology segment. Responsibilities include developing scalable solutions for data processing, ensuring data quality, providing mentorship to junior engineers, and collaborating with engineering teams across various locations to leverage expertise. This role focuses on improving data flow and supports the creation of new data initiatives.
As a Data Engineer on the Proprietary Research team, you will design and build solutions for extracting insights from complex data sets, develop big data processing pipelines, and support visualization capabilities. Collaborating with investment professionals and data scientists, you'll leverage cloud technologies and handle both structured and unstructured data to create valuable research tools.
The Data Engineer will design and develop data pipeline architectures, optimize data flow, and support cross-functional teams. Responsibilities include building infrastructures for data extraction, transforming and loading data, developing analytics tools for insights, and collaborating to enhance data systems functionality.
As a Senior Associate Data Engineer at Publicis Sapient, you will lead data migration projects to AWS, build complex data pipelines, and act as a trusted AWS expert for clients. You'll work closely with clients to translate their needs into technical solutions while ensuring high-quality deliverables and mentoring team members.
As a Data Engineer, you will collaborate with scientists and software developers to design, develop, test, and maintain programs for NCBI's biomedical data resources. You will focus on implementing bioinformatic algorithms and developing cloud-ready tools and pipelines for managing large genetic datasets effectively.
As a Senior ETL Data Engineer, you will develop and maintain ETL processes using Informatica PowerCenter, perform data analysis, support data warehouses, and collaborate with users to enhance data delivery for financial operations.
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As a Data Engineer on the Starlink GNC team, you will build reliable data pipelines, analyze satellite health data, and collaborate on software solutions to enhance SpaceX's operations, while taking ownership of engineering challenges and producing impactful software solutions.
The Data Engineer will develop data pipelines and products using AWS, Azure, or GCP, advising clients on cloud technologies for efficient data processing and collaborating with teams to maximize data architecture value.
CapTech is seeking a Data Engineer with experience in cloud platforms such as AWS, Azure, and GCP. Responsibilities include developing data pipelines, advising on cloud technologies, and collaborating with various stakeholders. Successful candidates should have experience with SQL, Python, and various database technologies.
The Data Engineer at CapTech is responsible for building advanced data systems, developing data pipelines, and enabling efficient data processing using AWS, Azure, or GCP. They collaborate with clients and team members to maximize data value and provide strategic technological advice while focusing on engineering best practices to solve complex data problems.
The Data Engineer at CapTech will develop data pipelines and products using cloud platforms like AWS, Azure, and GCP, advise clients on cloud technologies, and work collaboratively to solve complex data problems while ensuring data architecture maximizes client value.
The Data Engineer will develop data pipelines and products using AWS, Azure, or GCP, advise clients on cloud methodologies, solve complex data problems, and collaborate with users to maximize data architecture plans.
As a Data Engineer at CapTech, you will build and maintain data systems using cloud infrastructure like AWS, Azure, or GCP. Responsibilities include developing data pipelines, advising clients on cloud strategies, and collaborating with various stakeholders to optimize data usage.
The Data Engineer at CapTech will build and maintain data pipelines to allow clients to efficiently process and use data from different sources. Responsibilities include advising clients on cloud resources, utilizing best practices to solve data problems, and collaborating with various stakeholders to maximize the value of data architecture.
The Data Engineer will develop data pipelines and products on AWS, Azure, or GCP, advise clients on cloud resources for data processing, and collaborate with users and developers to enhance data architecture and maximize client data value.
The Data Engineer will design, build, and maintain data pipelines and architectures in AWS, focusing on data integrity and automated testing. Responsibilities include developing ETL processes, standardizing and cleansing data, building data consumption patterns, and implementing automated CICD practices. Documentation and monitoring of data processes are also key aspects of the role.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
The Data Engineer is responsible for developing and maintaining data technologies, data pipelines, and cloud-based solutions within the organization. This role involves collaborating with teams to drive tax decisions and enhance user experiences while ensuring data security and scalability.
As a Data Engineer, you will build complex data pipelines for EDO, ensuring efficient processing of large advertising datasets. You'll collaborate with Data Scientists and utilize a modern tech stack to optimize advertising outcomes, helping clients make informed decisions about their strategies.
As a Full Stack Data Engineer in the Analytics team, you will design, develop, and support innovative solutions that fulfill the business objectives while collaborating with cross-functional teams and stakeholders. This role includes responsibilities for data solutions analysis, API development, application improvement, and maintaining development standards.
The Data Engineer II will design, develop, and support data integration and ETL projects, mentor other data engineers, and ensure the quality of BI data. Responsibilities include data profiling, logical/physical modeling, performance tuning, and collaborating with offshore teams on development tasks.
Lead a team of data engineers to develop and maintain scalable data pipelines. Optimize workflows for data capture and processing, collaborate with architects and engineers, and ensure high-performance data engineering processes. Provide mentorship and design secure data ingestion workflows.
DuPont is seeking a Data Engineer to work in their Electronic Materials Chemical Mechanical Planarization (CMP) Technology group. The role involves designing, developing, and implementing digital products and tools to accelerate new product development and support customers. The ideal candidate will blend data engineering and data analyst roles and adapt to new data technologies and characterization techniques.
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