Top Data Engineer Jobs
The Data Engineer will migrate existing data flows to JWICS AWS, automate data gathering and cleaning using Python, and develop a data management system for the intelligence enterprise. Responsibilities include designing data systems, optimizing data architectures, and assisting the government in maintaining data infrastructures.
Lead and manage a team of data engineers to develop innovative data solutions, optimize data pipelines, and drive business insights. Collaborate with cross-functional teams to ensure data engineering efforts align with company goals. Oversee migration to modern cloud-based infrastructure and foster a culture of continuous improvement.
The Senior Data Engineer will collaborate with Agile teams to design, develop, and support full-stack technical solutions. This role involves leveraging various programming languages and technologies to deliver cloud-based services that enhance customer financial empowerment, while mentoring team members and driving tech innovations.
As a Data Engineer, you will design and manage data architecture, optimize data pipelines, and ensure data quality while collaborating with product and data teams to meet internal and external data needs.
As a Senior Data Engineer at Kargo, you will work with the Targeting and Audiences team to enhance data methodologies, create scalable processes for large datasets, and improve data targeting strategies. Responsibilities include maintaining data integrity, collaborating with product and data science teams, and building data pipelines for real-time bidding.
The Data Engineer Consultant at DAS42 is responsible for developing data integrations, implementing data warehouses and ETL pipelines, and optimizing clients' data environments. They work collaboratively on projects, document client data environments, and support the pre-sales process while utilizing technologies like Python and SQL alongside data visualization and cloud platforms.
The Data Engineer will manage the data warehouse and associated pipelines while administering the production OLTP database. Responsibilities include ensuring smooth data operations and maintaining best practices with a focus on current technologies and effective communication.
Join a team of data engineers at Egen, a data engineering and cloud modernization firm. Responsibilities include building event-driven data pipelines, solving data integration challenges, and working on cloud-native data warehouse processing. Requires strong skills in Python, SQL, Bash, and experience with distributed data warehousing technologies and Kafka.
Featured Jobs
As a Data Engineer at Barbaricum, you will configure and manage data repositories for the Department of Defense, ensure secure data ingestion and processing, and support data analytics initiatives. Responsibilities include automating processes, maintaining data operational health, and engaging with teams to drive innovative solutions.
The role involves designing, developing, and integrating strategic data applications, building large-scale data processing systems on Google Cloud, and leading data pipeline automation. Responsibilities include ensuring accuracy through robust testing, adhering to quality standards in an Agile environment, and applying machine learning when relevant.
The Senior Staff Data Engineer will design and develop scalable data pipelines, integrate complex data sets for analysis, and build data products on a cloud-native platform. Responsibilities include collaborating with teams to implement data models, ensuring data quality, mentoring, and advocating best practices in data engineering.
As a Senior Data Engineer, you will improve Grubhub's big data and machine learning pipelines, delivering data products while collaborating with data scientists and analysts. Responsibilities include managing high-volume data processing using Spark and AWS technologies, maintaining technical documentation, and applying data engineering best practices.
The role involves architecting, building, and maintaining reliable data pipelines, developing data applications in Python and SQL, ensuring data quality, and optimizing software engineering techniques while collaborating with IT and business teams.
The Data Engineer II will build and maintain data infrastructure, focusing on creating scalable data pipelines, managing transformations, and ensuring data quality and security. Responsibilities include coding in Python and SQL, developing on AWS, leading projects technically, supporting data analysts, participating in code reviews, and implementing tooling for data governance.
The Data Engineer will modernize and maintain the data technology infrastructure, focusing on ETL tasks, data modeling, and building data pipelines. Responsibilities include developing database architecture, designing secure data pipelines, troubleshooting performance, ensuring data governance, and collaborating with the analytics team to enhance data products.
As a Data Engineer at Prophecy, you will develop data engineering workflows using Apache Spark and Apache Airflow. You will be responsible for solving complex customer problems, educating users on best practices, and building reusable Spark packages to enhance data transformation processes.
As a Data Engineer at Testlio, you will develop data models, create and maintain data pipelines, automate data integration processes, and implement data mart systems. You will work closely with the Business Operations team to enhance the organization's data accessibility and reporting capabilities.
The Data Engineer will design and implement data pipelines and analytics infrastructure, develop Python and SQL components, maintain cloud infrastructure, and create data models. They will collaborate with customers to enhance data exploration and improve technical practices while coordinating project objectives.
The Senior Data Engineer at Overjet will design and implement data solutions, manage data ingestion, optimize data pipelines, promote seamless data flow, enhance data transformation processes, and establish a strong data quality framework while leading data literacy initiatives.
Apex Fintech Solutions is looking for a Data Engineer to develop solutions for its Compliance and Regulatory team on a cloud-based data platform. Responsibilities include designing and deploying solutions, building reporting infrastructure, and ensuring data quality for regulatory entities, leveraging tools like Big Query and Looker.
As a Data Engineer, you will design and maintain ETL pipelines, develop data schemas, implement secure data storage procedures, optimize data processing tasks, and coordinate with data providers. Senior Data Engineers will take on leadership roles, breaking down projects, mentoring junior engineers, and improving ETL tools.
The Principal Data Engineer will lead a Data Engineering team responsible for developing and implementing data solutions to enhance the company's data capabilities. This role includes designing and documenting software solutions, mentoring team members, and improving existing systems for increased efficiency and performance.
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As a Data Engineer at StackAdapt, you will design and implement modular and scalable real-time data pipelines, work on custom ML algorithms, and manage microservices for training and monitoring ML models in a collaborative environment.
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The BI Data Engineer will build data pipelines and Python-based ETL tools, develop and optimize data models, generate end-to-end reporting solutions, and collaborate with business leaders to define key metrics and reporting requirements, aiming to improve data usage across the company.
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The Data Engineer II will design and maintain the data warehouse, focusing on ETL processes and data architecture. They will collaborate with various teams to gather data requirements, support data analysis, and develop reporting mechanisms. This role demands proficiency in big data tools and analytical skills to create efficient data solutions.
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