Top Data Engineer Jobs
The Data Engineer will support the Chief Digital Artificial Intelligence Office's efforts in the DoD's integrated biosurveillance program by managing data repositories, automating processes, and collaborating with multiple teams to implement and optimize data solutions.
The Senior Data Engineer will develop cloud service offerings, assemble complex datasets, design process improvements, and build infrastructure for data extraction and transformation. Responsibilities include collaborating with various stakeholders to ensure effective data delivery and support operational metrics.
As a Big Data Engineer, you will collaborate with cross-functional teams to design and implement scalable data pipelines, ensure data quality, and provide technical support for data migration projects. You will utilize Azure tools and technologies to deliver high-quality data solutions across various business areas.
As a Big Data Engineer, you will lead data migration efforts and design scalable data pipelines using Azure services. Collaborating with cross-functional teams, you'll ensure data quality and resolve technical challenges during transitions. You'll leverage your extensive IT experience, particularly in Azure Databricks, to develop robust data solutions that meet business needs.
As a Big Data Engineer, you will lead data migration planning, design and implement scalable data pipelines, ensure data quality, and support migration phases. Collaborate with cross-functional teams to deliver data solutions across various domains, staying updated with cloud computing and analytics technologies.
The Big Data Engineer will lead the technical planning for data migration projects, design and implement scalable data pipelines using Azure Databricks, and ensure data quality and integrity. Responsibilities include working with cross-functional teams on data solutions across various functions and providing technical support during and after migration.
As a Big Data Engineer, you will lead the technical planning for data migration, design and implement data pipelines, ensure data quality, and provide technical support within a collaborative analytics team.
As a Big Data Engineer at Nagarro, you will lead technical planning for data migration, design efficient data pipelines, ensure data quality, work with streaming technologies, and provide technical support. You are required to have 4+ years of IT experience, proficiency in Azure Databricks, data modeling, PySpark, SQL, and experience with Azure components and Python.
Featured Jobs
As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.
The Senior Data Engineer will lead the design and development of data pipeline architecture, optimize data delivery, and collaborate across teams on data initiatives. Responsibilities include building infrastructure for data extraction, developing analytics tools, and enhancing data systems functionality.
The Senior Data Engineer will build and maintain scalable data processing systems using AWS and various big data technologies. Responsibilities include developing real-time and batch data pipelines, ensuring data quality, and collaborating with cross-functional teams on architecture and best practices.
The Senior Data Engineer will enhance and improve the data platform services, designing scalable solutions and ensuring data quality and security. The role includes building self-service capabilities, developing data ingestion services, and monitoring system performance while participating in on-call support.
The Lead Data Engineer will design, build, and maintain scalable data pipelines and analytics solutions to support Nike's Advanced Analytics and Business Intelligence initiatives. Responsibilities include leading a team of engineers, collaborating with cross-functional stakeholders, implementing data governance, and optimizing data processing architectures.
The Senior Data Engineer will develop scalable data frameworks and pipelines for analytics and machine learning within Unity's next-gen data platform. Responsibilities include building data infrastructure, creating internal data tools and APIs, collaborating on automated data workflows, and innovating data solutions to enhance decision-making.
As a Staff Data Engineer, you will create and manage data pathways, develop self-service mechanisms, and oversee platform ownership of data systems. You are responsible for building data pipelines, coordinating with engineering teams, and supporting analyst data requests, while driving innovation in data ingestion and engineering best practices.
Alliant Energy is seeking a Senior Data Engineer with expertise in Snowflake, Informatica, and Python to lead the design, development, and maintenance of data pipelines. Responsibilities include building and maintaining integrations, conducting data analysis, implementing data management best practices, and providing mentorship to analysts. This is a hybrid position based in either the Cedar Rapids, IA or Madison, WI office.
As a Sr Data Engineer, you will enhance data infrastructures for machine learning, manage data pipelines, develop complex queries, collaborate to deliver data solutions, and troubleshoot data issues. You'll be involved in implementing AI-based systems at a petabyte scale.
As a Staff Data Engineer, you will develop scalable systems to impact customer acquisition and retention, take ownership from development to deployment, and drive improvements for the platform. You'll collaborate with teams on data-intensive applications to support marketing efforts and optimize growth strategies.
As a Staff Data Engineer II at Blitz, you will design, develop, and maintain data pipelines and infrastructure, collaborating with data scientists and engineers. You will optimize data workflows using Airflow, DBT, and Databricks, ensuring data quality and efficiency while mentoring junior engineers.
Lead Data Engineers at CapTech design and implement data pipelines using cloud technologies, providing solutions for clients by integrating data from various sources and mentoring other engineers. Their responsibilities include analyzing customer requirements, collaborating with teams for technical solutions, and staying current with cloud methodologies.
As a Senior Data Engineer, you will design and optimize data pipelines, ensuring data consistency and reliability. Collaborating with product and engineering teams, you'll enhance data solutions for product services, drive best practices, and participate in on-call rotations to maintain system reliability.
The Senior Data Engineer at Citi is responsible for designing and developing Big Data solutions, migrating legacy workloads to the cloud, and collaborating with data scientists to build client pipelines using heterogeneous sources. They also drive automation, evaluate new technologies, and mentor team members on Big Data and Cloud Tech stacks.
The Senior Data Engineer will build data pipelines and complex datasets to facilitate data-driven business decisions, collaborate with IT and developers on performance and reliability, maintain web applications using .NET and C#, and implement internal process improvements to enhance efficiency.
The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
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