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 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 design and build scalable analytics pipelines, manage data integrations, and optimize data architecture for large-scale projects.

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

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

The Jr Data Engineer will design, build, and maintain scalable data pipelines, ensuring efficient data flow for analytics and reporting, collaborating with cross-functional teams.

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 an AI Data Engineer, you will build end-to-end data pipelines, collaborate on AI features, and ensure data quality across our systems.

The Mid Data Engineer is responsible for designing and delivering KPIs, improving data standardization, and enhancing customer experience through analytics.

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.

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.

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.

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.

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.

Manage the Databricks environment, implement data governance, oversee data architecture in Snowflake, and handle data pipelines across cloud platforms.

The Looker Data Engineer will develop and optimize Looker data models, automate reporting, and ensure data accuracy using SQL and various cloud technologies.

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