Top Data Engineer Jobs

The Data Engineer will design, develop, and maintain data pipelines and ETL processes, manage data storage solutions, collaborate with stakeholders for data requirements, optimize system performance, and mentor junior engineers. The role emphasizes data integrity and incorporates best practices for data governance within a fast-paced AI-driven environment.

The Data Engineer will analyze datasets from various sources to ensure accuracy, automate ETL processes, and support traders in generating insights. The role requires programming skills, SQL experience, and the ability to communicate findings effectively.

The Data Engineer will develop advanced AI solutions, process large data sets, and create prototypes using algorithms. Responsibilities include data organization, real-time business analytics, and collaborating with data scientists. The role requires developing efficient Python code, using Azure tools, and ensuring best practices in data management.

The Senior Cloud Data Engineer at Shift4 will work within the AWS Cloud Data Services team, focusing on technology, architecture, and engineering delivery. Responsibilities include collaborating with cross-functional teams, contributing to system design, implementing best practices, and mentoring junior engineers. The role demands hands-on experience in ETL processes and cloud data management while ensuring high standards of system reliability and performance.

As a Data Engineer at Brex, you will transform raw data into actionable insights, design and maintain data models and pipelines, collaborate with teams, and ensure data quality for analysis. You will also integrate data sources and establish standards across the organization.

As a Data Engineer at Figma, you will own and scale data pipelines, work with Data Science and Infrastructure teams, and ensure efficient data delivery for various stakeholders. Responsibilities include optimizing data models, establishing best practices, and simplifying complex data-related issues for diverse audiences.

As an Azure Data Engineer at Xebia, you will leverage your expertise in the Azure Data Engineering Stack to design and implement data solutions. Responsibilities include working with Azure services, developing data pipelines, and applying your knowledge of data warehousing concepts in an Agile environment, while also collaborating effectively with teams.

As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.

The Data Engineer Manager will lead a team responsible for developing and maintaining data infrastructure, manage data engineering projects, and ensure quality and security across systems. The role involves mentoring team members, collaborating with cross-functional teams, and making hands-on contributions to technical work.

The Data Engineer will support the deployment of machine learning projects by assisting data scientists and machine learning engineers with coding, DevOps tasks, and implementing distributed systems for data processing. Responsibilities include automating data ingestion processes, working on microservices, and managing databases in a collaborative and fast-paced environment.

The Data Engineer II at Cross River will design, develop, and maintain scalable data pipelines, ensure data integrity, and support analytics for capital markets. Responsibilities include creating SQL statements, data integration, ensuring data quality, and utilizing Tableau for dashboard creation. Collaboration with analysts to meet data requirements is essential, along with staying updated on industry trends.

The Data Engineer will develop, operate, and design components in the data layer, focusing on data strategy, warehousing, cloud architecture, and optimizing data storage using modern tools like Spark and Hive.

The Martech Data Engineer will design and develop data collection and ingestion solutions using Snowflake, EventHub, and Kafka, focusing on Adobe data solutions and integrations with various marketing platforms. Strong experience in data engineering within the MarTech domain is necessary.

As a Data Engineer I, you will develop and maintain data extraction systems and production data pipelines, transforming raw data into actionable insights. Collaborating with senior engineers, you will implement best practices in software engineering and contribute to enhancing existing data flow systems.

As a Data Engineer, you will design and deploy data pipelines for processing and analyzing data, utilizing various machine learning techniques and software development to extract valuable insights. Responsibilities include modifying existing software, managing client data, and developing solutions for data wrangling.

The Data Engineer will collaborate with researchers to translate trading strategies into data variables, develop scripts for data processing, ensure data accuracy, and optimize data retrieval processes. They will assist with integrating new data sources and provide technical support for data issues.

The job involves leveraging AWS and Snowflake for data engineering responsibilities, focusing on big data solutions and cloud services. The role may also include elements of blockchain technology and artificial intelligence applications.