Top Data Engineer Jobs in Leon

As a GIS Data Engineer II, you will manage GIS data projects, create geospatial products, provide consultancy, and enhance tools using advanced technologies.

The Data Engineer will develop ETL processes, optimize data pipelines in Azure Synapse Analytics, manage data quality, and collaborate on data modeling.

The Senior GIS Data Engineer will manage GIS data engineering projects, transforming geospatial data using various technologies, and provide consultancy for data integration. They will also improve processes and collaborate across teams to enhance efficiency and quality.

As a Data Engineer, you will enhance the US Gas product by building data scrapers, improving APIs, and collaborating on features with the product team.

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.

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.

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.

Lead the development of data infrastructure by creating scalable ETL/ELT pipelines, managing data flows in AWS, and ensuring data governance while building data models with dbt.

Lead data engineering efforts, build scalable ETL pipelines and infrastructure, ensure data quality, and support BI and analytics teams to drive strategic growth.

The Lead Data Engineer will oversee data engineering efforts, optimizing scalable ETL processes and ensuring the delivery of reliable data across business units to support strategic growth.

The Senior Data Engineer will lead the development and maintenance of data pipelines, ensuring data governance and performance in a collaborative Agile environment.

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 Engineer is responsible for designing and maintaining data pipelines and infrastructure, ensuring data accessibility and quality for analytics and reporting.

Design and maintain data pipelines, optimize Apache Spark processing, manage data solutions in Azure, enforce software engineering practices, and mentor peers.

Drive quality assurance strategy for data migration projects, validating data integrity and automation using AWS technologies and Python scripts.

Design, build, and maintain scalable Airflow-based data pipelines and reusable components. Implement CI/CD for deployments, enforce data governance and quality, monitor and troubleshoot workflows, document solutions, and mentor teammates on Airflow best practices.

As a Senior Data Platform Engineer, you'll implement and support lakehouse platforms, ensuring data quality and collaborating closely with architects on design and operational strategies.

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.

Lead the migration of SQL Server and PostgreSQL to Azure SQL. Design and support PaaS and DBaaS offerings while optimizing database instances.

The Principal Engineer will oversee data infrastructure, optimizing databases, and facilitating data systems for high volume processing while integrating new technologies.