Top Data Engineer Jobs

We're seeking a Data Engineer with 5+ years of experience to build data processing solutions using Python, design data models, and process large data streams while ensuring high performance across various data technologies.

Belvedere Trading seeks a Senior Data Engineer to enhance trading performance through data availability and reliability, designing ETL pipelines and data architectures in a fast-paced environment.

The Lead Data Engineer will develop full-stack solutions, collaborate within Agile teams, and work with big data technologies and cloud computing to improve predictive insights for decision making.

Design and maintain data pipelines, implement data integrations, mentor junior developers, and develop AI-powered solutions to enhance reporting and decision-making.

The Snowflake Data Engineer will work on data cleansing and harmonization, moving from legacy systems to SAP S4, focusing on ETL/ELT development and view creation.

This role involves designing, building, and maintaining data pipelines on Snowflake. Responsibilities include ensuring data quality and collaborating with stakeholders to deliver solutions.

The AWS Data Engineer will work on a data cleansing and harmonization project, focusing on AWS ETL design and development using various AWS services.

The Snowflake Data Engineer will design, build, and maintain data pipelines on Snowflake, optimizing performance and ensuring data quality while collaborating with stakeholders.

The Snowflake Data Engineer and Product Owner will manage the Snowflake data analytics project, collaborating with stakeholders, leading Agile practices, and ensuring quality deliverables through effective team coordination and backlog management.

The Cloud Data Engineer will design, implement, and manage data solutions on Microsoft Azure, create and maintain data pipelines, and ensure data security for decision-making processes.

Develop custom connectors on Airbyte for data ingestion from various platforms, ensuring accurate data integration and transformation. Collaborate with stakeholders and perform testing for reliability.

The role involves building and managing robust data pipelines, optimizing data infrastructure, ensuring data quality, and integrating operational data systems. Collaboration with stakeholders and applying engineering best practices are essential, including expertise in cloud computing and various data formats.

As a Data Engineer at OpenAI, you'll design and implement data pipelines, develop key datasets, and collaborate with teams to integrate data for People Innovation Labs' products.

The Data Engineer will develop tools and code for data engineering activities, support data transport and ingestion, and work alongside Data Scientists. The role requires hands-on coding and ETL responsibilities, ensuring data is correctly formatted for analysis.

The Data Engineer / Data Project Lead manages data projects, designs pipelines, leads a technical team, ensures data quality, and supports decision-making for Head Start programs.

The Data Engineer will develop and maintain data pipelines, perform data extraction and transformation, and support data analytics across the enterprise.

As a Principal Data Engineer, you'll design and maintain scalable data pipelines and frameworks using Azure technologies while collaborating with various teams to ensure data products support business decisions.

The Principal Data Engineer designs and maintains scalable data systems, evaluates new technologies, mentors junior engineers, and leads data engineering initiatives in agile environments.

The Principal Data Engineer will provide technical leadership, design complex software architectures, mentor teams, and drive data engineering best practices within the organization.

The role involves architecting and improving data systems, defining governance standards, optimizing performance, and mentoring engineers in data engineering.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

The Mid-Level Data Engineer will design and optimize data pipelines and services, supporting analytics and machine learning readiness in an Azure environment.

The Data Engineer will manage production data quality tasks, support daily data loads, build ETL pipelines, and coordinate with teams to resolve data issues in an Azure Cloud-based environment.

As a Data Engineer, you will develop solutions for customer-centric technology, ensuring platform integration and managing data architecture. Responsibilities include building data processes, maintaining data integrity, and collaborating cross-functionally to meet business challenges.

The Principal Data Engineer will lead technical direction, manage data platforms, make architectural decisions, mentor engineers, and ensure data systems operate reliably.