Top Data Engineer Jobs in Leon

As a Data Engineer, you will design and build scalable analytics pipelines, manage data integrations, and optimize data architecture for large-scale projects.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

As a Mid Data Engineer, you will design and maintain data pipelines, collaborate with teams, and ensure data quality and integrity.

The Data Engineer role involves designing, developing, and optimizing data processing solutions ensuring quality and scalability, while adhering to project timelines and technical standards.

The Staff Data Engineer will lead data model design, standardize data engineering practices, modernize orchestration, and establish governance strategies within Dropbox's Analytics team.

Seeking a Data Engineer with 5+ years experience in ETL/ELT design, data analysis, and cloud-based solutions. Responsibilities include building data pipelines, maintaining data warehouses, and collaborating with stakeholders on data initiatives.

The AI Engineer + Data Engineer will develop data pipelines, integrate LLMs for automation, and ensure data quality, collaborating with various teams to deliver impactful data platforms.

Hands-on Senior Data Engineer to design and maintain scalable AWS ETL/ELT pipelines, evolve a data lakehouse with Apache Iceberg, implement governance and security, optimize performance and costs, enable analytics-ready datasets, and ensure reliability, monitoring, and data quality.

As a Data Engineer at SunnyData, you will design and build data solutions, support customers, and ensure data quality and governance while working with cloud platforms.

Designs, builds, and maintains scalable batch and streaming data pipelines, APIs and integrations; prepares and cleanses data; creates data models, reporting, dashboards, and access methods; applies NLP and AI/ML techniques; follows data governance; estimates and plans work for agile sprints with limited supervision.

The Data Engineer I will design and manage data pipelines, integrate ETL processes, ensure data quality, and optimize performance while working with various cloud and on-premises technologies.

As a Principal Database Engineer, you will architect scalable PostgreSQL solutions, ensuring data reliability, performance, and collaborating with teams to build a robust data platform for GitLab's growth.

The Data Engineer will design, build, and maintain data pipelines and API integrations to automate document processing and ERP integrations. Responsibilities include developing ETL processes, ensuring data consistency and availability, and supporting real-time data validation and submission to ERP systems.

The Senior Data Engineer will optimize employee communications by defining metrics, designing tracking architecture for GA4, and building dashboards in Looker Studio or Tableau, while analyzing audience data and maintaining data quality.

Lead data engineering efforts by building scalable ETL and data lake processes, managing data ingestion, and supporting business intelligence teams to enhance analytics and decision-making.

Lead scalable data engineering efforts to build and optimize ETL and data lake processes, ensure data quality, and support cross-functional teams with actionable insights.

Lead and mentor a data engineering team to design, build, and optimize scalable cloud data solutions on Azure. Oversee architecture, code quality, CI/CD, data governance, security, and project delivery while collaborating with stakeholders and resolving complex technical issues.

Design, build, and operate scalable AWS data platforms and pipelines (batch/streaming) for analytics and ML. Implement data ingestion, transformation, governance, knowledge graphs, monitoring, and secure access. Optimize architectures, build tooling and dashboards, integrate enterprise systems, and collaborate cross-functionally to ensure data quality, lineage, and maintainability.

Design, build, and optimize scalable Databricks data pipelines and reporting models. Ensure data quality, create performant Jinja-templated SQL transformations, support CI/CD with GitHub/Jenkins, and collaborate with stakeholders to deliver actionable BI insights focused on advertising and billing data.

The Azure Data Engineer will participate in the software development lifecycle, including design, coding, testing, and documentation of applications, collaborating closely with team members and following best practices.

Lead AWS Data Engineer responsible for designing and implementing cloud-native data solutions, overseeing data migrations, and mentoring engineering teams.

Design and maintain data ingestion frameworks using AWS technologies, ensuring integration with Snowflake, and collaborating across teams for project delivery.

Design, build, and maintain data pipelines, optimize existing ETL processes, and collaborate with teams to deliver structured datasets and support analytics initiatives.

The Data Architect role involves defining the data strategy, optimizing data schemas, enhancing performance, and collaborating with multiple teams for effective data management.

The Data Quality Engineer ensures the quality and integrity of data in studies, developing measurement systems, automation, and conducting analysis to uphold standards across projects.