Top Data Engineer Jobs in Leon

Design and deliver complex GIS data engineering and ingestion projects. Transform, integrate, and maintain large-scale geospatial datasets using FME, ArcGIS, QGIS, Python, SQL, Oracle, and PostgreSQL. Assess risks for bulk ingestion, provide spatial data consultancy, improve processes and workflows, collaborate cross-functionally, and mentor junior colleagues.

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

As a Senior Data Engineer, you will design scalable data pipelines, develop data models, partner with cross-functional teams, and enhance data quality and governance.

As an ETL Data Engineer, you will develop and maintain ETL processes, design data storage structures, and collaborate with teams to ensure data quality and compliance, using Python, Azure Synapse Analytics, and SQL.

As an ETL Data Engineer, you will develop and maintain ETL processes using Python and Azure Synapse Analytics, ensuring data integration accuracy and performance. Responsibilities include data warehousing design, performance tuning, collaboration with teams, and maintaining data quality and documentation.

Design, build, and scale data pipelines and analytics solutions across the full data lifecycle. Implement ETL, data modeling, and high-volume data systems using Spark/Scala, Python, Databricks, Airflow, and AWS. Collaborate with stakeholders, contribute to architecture and CI/CD practices, and deliver projects on schedule.

Build, monitor, and troubleshoot data pipelines and transformations for healthcare data. Extract, cleanse, and load data; implement data quality checks; document datasets; support API and EFT integrations; triage incidents; and participate in Agile ceremonies to estimate and deliver data solutions.

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

Analyze existing integrations and rebuild ETL/ELT pipelines in Azure Data Factory. Design, develop, schedule, monitor, and optimize data movement and transformations. Connect ADF to sources/targets (Oracle, Azure SQL, files, APIs), implement parameterization, retry logic, and alerting. Perform mapping, validation, testing, documentation, deployments, and production cutover while collaborating with database engineers, QA, architects, and business teams.

Responsible for managing data acquisition, curation, and publishing for analytics, developing data products, and creating scalable data pipelines.

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.

Design and build scalable Snowflake-based data models, analytical cubes, and high-performance data pipelines using SQL and Python. Integrate data via APIs, collaborate with cross-functional teams to support reporting and analytics, and enforce best practices in data architecture and pipeline performance.

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

Build and maintain large-scale data structures and ETL pipelines using Python and SQL. Design data marts and models, integrate data sources, ensure data quality, and collaborate with cross-functional teams to operationalize analytics on cloud platforms.

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 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.

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

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.

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.

The AI Engineer & Data Engineer will develop data pipelines, ensure data quality, and integrate AI into workflows for performance reporting and billing reconciliation.

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 role involves understanding customer processes, validating technical designs of applications, estimating project efforts, supporting implementation activities, and mentoring colleagues in application architecture.

Lead design, development, and optimization of cloud-native data platforms and ETL/ELT pipelines. Architect data models, enforce engineering best practices, implement orchestration (Airflow/dbt), monitoring, and data quality frameworks. Mentor engineers, drive architectural decisions, ensure security and governance, and support analytics and machine learning initiatives across teams.

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