Top Data Engineer Jobs in Leon

The Data Engineer will build and maintain data pipelines, ensure data quality, and collaborate with stakeholders to manage workflows using AWS and Python.

The Data Engineer will design and implement data solutions, manage ETL processes, ensure data quality, and collaborate on data analytics projects.

As a GTM Data Engineer, you will build and maintain data pipelines, API integrations, and tools for the Go-To-Market team, focusing on automation and data optimization.

The Data Engineer applies analytics to improve business results, develops data pipelines, and deploys models, partnering with IT teams.

The role involves analyzing data sources, developing ETL processes, designing schemas, and creating PowerBI dashboards for performance measurement and optimization.

Design and maintain data pipelines and ETL workflows integrating various data sources, optimizing performance and supporting analytics initiatives.

As a Data Engineer, you'll translate business data stories into technical structures, and design, build, test, and implement data products.

The Data Engineer will gather requirements, create data products, develop data pipelines, and enhance data delivery for the insurance sector.

As a Data Engineer, you will implement data extraction solutions, build data processing pipelines, and maintain scalable data infrastructure while ensuring data governance and quality.

The Data Engineer will design and implement ETL/ELT processes, maintain data warehouses, and optimize data pipelines while collaborating with stakeholders.

The FBS Jr. Data Engineer will manage data acquisition and publishing, support analytics, create data models, and develop scalable data pipelines with some mentorship.

As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.

The Data Quality Engineer ensures high-quality data through automated and manual quality checks, working collaboratively with various teams and documenting processes.

Design, build, and optimize data pipelines for applications, ensuring scalability, performance, and security while collaborating with data scientists and software engineers.

The Senior Data Engineer will manage data infrastructure, develop ETL/ELT pipelines, ensure data quality, mentor the team, and collaborate across departments to enhance data-driven insights.

As a Senior Data Engineer, you will support data initiatives by developing Silver and Gold data layers, auditing pipelines, and collaborating on documentation and governance practices.

Design, build, and support features for developers, ensuring reliability and scalability of systems, and contributing to product direction.

As a Senior Product Engineer on the Data Insights team, you will design, build, and maintain features that help mobile developers grow their businesses, focusing on data-related solutions and product quality.

The Senior Data Engineer will manage the data platform, support product development for developers, and engage with data systems using various technologies while collaborating in a remote environment.

The Staff Data Engineer will design and implement data ingestion and transformation solutions on cloud platforms while providing technical leadership and support to product teams.

Lead the design and implementation of a modern data architecture, manage ETL pipelines, ensure data quality, and collaborate with cross-functional teams.

As a Staff Engineer in Data Science, you will leverage your coding skills to tackle client challenges, guide teammates, and enhance solutions for greater success.

The Staff Engineer, Data Science role focuses on leveraging tech skills to enhance team capabilities and provide advanced solutions for client challenges.

The Full Stack Developer will design and optimize automation workflows for data discovery, work with Node.js and APIs, and ensure data security.

We are looking for a Senior Data Engineer to oversee our database layer, implementing database technologies like Postgres and Spark, focusing on business initiatives.