Top Data Engineer Jobs in Houston, TX

Seeking experienced Data Engineers to manage data availability, support AI applications, and create dashboards for critical users in the Intelligence Community. Candidates should be self-motivated, familiar with various tools, and able to work on-site at the Pentagon.

The Data Science & Analytics Engineer will design, develop, and implement data science platforms and machine learning models, manage datasets, and analyze data to solve business problems.

The Senior AI Data Engineer will design and maintain datasets for AI models in cybersecurity, ensuring data quality and relevance while collaborating with teams.

The role involves designing data pipelines, creating dashboards, developing Python and SQL components for automation, maintaining cloud infrastructure, and collaborating on project objectives.

The Senior Data Engineer II designs and maintains data pipelines, supports machine learning workflows, and collaborates with product teams to enhance data integration and analytics.

In this role, you will design and implement secure data ingestion systems, transition to real-time integrations, and mentor engineers while working closely with cross-functional teams in a healthcare setting.

As a Snowflake Data Engineer, you'll design and manage data pipelines, optimize performance in Snowflake, and collaborate across teams to provide analytics solutions.

As a Data Engineer, you will design and implement data pipelines, optimize workflows, and support analytics using AWS and GCP, collaborating with teams to enable data-driven decision-making.

The Staff Engineer - Finance Data Specialist will develop and support a Finance Data Warehouse, collaborating with Finance and Tech teams on data management and analytical solutions.

As a Founding AI/Data Engineer, you'll design and build AI-driven products, collaborate across teams, and ensure system reliability while enhancing user experiences.

Looking for Sr. Azure Data Engineers with 8+ years of experience. Responsibilities include building data pipelines and integrating data from various sources.

Responsible for designing and building distributed data systems, developing robust data pipelines, and architecting data platforms to support large-scale data processing.

As a Principal Data Engineer, you will optimize data systems, design scalable pipelines, and establish data governance, collaborating closely with teams to enhance Yahoo News's data architecture.

The Data Engineer will design and maintain data pipelines, work with diverse datasets, and ensure data quality for analytics. The role requires hands-on Python and SQL experience and involves collaboration with various teams to enhance data infrastructure.

The Data Engineer will manage data ingestion in Salesforce, standardize lead data, ensure data quality, and optimize integration workflows.

The Data Engineer will build data infrastructure, develop CI/CD pipelines, and create solutions for data engineering challenges, requiring strong technical skills and collaboration.

As a Data Engineer, you will work with clients to understand data distribution needs, build extracts and optimize scripts, while fostering a collaborative team culture.

The MLOps/Data Engineer will design and implement a data and ML platform, build data pipelines, and ensure reliability and scalability of ML models, collaborating closely with data science and product teams.

Design and develop reliable distributed data systems to deliver high-quality data for Netflix's product, collaborating with data scientists and engineers.

The Data Engineer will build scalable privacy-centric data frameworks, engineer data pipelines, and ensure compliance with privacy regulations at Netflix.

The Data Engineer will architect and expand data products for Netflix's Ads business, developing data pipelines, collaborating with analysts, and ensuring data quality.

The Data Engineer II will develop and maintain data pipelines, optimize workflows, troubleshoot issues, and implement best practices while collaborating with cross-functional teams.

Lead the design and development of scalable data solutions and architectures, collaborating with cross-functional teams and mentoring junior members.

As a Data Engineer, you will design and implement data platform capabilities, support compliance, and ensure secure data consumption while mentoring clients and improving data pipelines.

The Senior Data Engineer will build and maintain data pipelines, work with ETL systems and big data technologies, and ensure data reliability and accessibility in support of clinical research efforts.