Top Data Engineer Jobs

As a Data Engineer at Dashlane, you will design and maintain data pipelines and infrastructure, utilizing AWS and open-source tools. You will collaborate with various stakeholders to ensure data integrity, create scalable solutions for data processing, and leverage advanced technologies to extract insights from data to assist in decision-making.

The Azure Data Engineer will be responsible for designing and implementing robust data engineering solutions using the Azure stack. This includes managing data flows, optimizing performance, and ensuring data integrity while collaborating in an Agile team environment. Knowledge of modern data architectures and strong programming skills, particularly in Python and SQL, are essential.

The Data Engineer will develop and implement ETL processes, design data warehouse solutions, write SQL/NoSQL queries, and maintain data systems within a small team. Responsibilities include owning features from development to production and evolving the technology stack.

Passionate and experienced data engineer needed to design, build, and maintain core data infrastructure at Aircall. Responsible for enhancing data stack, implementing best practices for data management and security, and leading the data engineering efforts to support company metrics and goals. Must mentor junior team members and collaborate with cross-functional teams to drive efficiencies in data processing and storage.

As a Principal Data Engineer at Material Bank, you will design scalable database systems for an eCommerce catalog, emphasizing BOM management and decentralized data ownership. Responsibilities include creating data models, developing ingestion pipelines, and ensuring data quality across multiple platforms. You will also lead the development of a self-serve data infrastructure for domain teams to autonomously create and manage data products.

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 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.

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.