Top Data Engineer Jobs in Houston, TX

The Data Engineer will own the data warehouse and pipelines for blockchain analytics, collaborating with others to build data models and maintain data quality. Responsibilities include ELT pipeline development, data monitoring, and leveraging AI for process improvements.

As a Staff AI Data Engineer, you will build and maintain data pipelines for ML/AI tools, ensuring high-quality datasets and collaborating with data scientists to enhance mental health care.

As an AI/LLM Data Engineer, you'll drive innovation in AI model applications, focusing on prompt engineering, system design, and data analysis, while collaborating with cross-functional teams.

The Data Engineer will develop and optimize ETL pipelines and systems in Google Cloud Platform, collaborating with engineers and scientists to support B2B data solutions.

The Lead Software Engineer is responsible for developing high-quality code, leading architectural evaluations, automating operational stability, and fostering a diverse team culture within an agile environment.

The Senior Data Engineer will create scalable data pipelines and manage unstructured data for AI/ML workflows, ensuring data quality and supporting data solutions. Collaboration with cross-functional teams to meet business and security objectives is key.

Build and refine data assets and products, integrate and model data from multiple sources, and develop data pipelines with automated quality checks.

As a Senior Data Platform Engineer, you will develop tools for data quality checks, enhance data lineage framework, and improve data infrastructure performance.

As a Senior Associate, you will develop and implement IBM MDM solutions, mentor junior team members, and manage data quality frameworks while providing insights from data analysis.

The Data Engineer designs and implements data infrastructure, ETL/ELT processes, manages data pipelines, ensures data quality, and supports data-driven decision making.

The Python-ETL Data Developer will assist in onboarding client data into MySQL, support Snowflake offerings, and improve documentation. Key skills include Python and database experience.

The Data Engineer will design, build, and maintain data pipelines and infrastructure, ensuring data accuracy and accessibility for analytics and business operations.

The Senior Software Engineer will enhance Doximity's data platforms, collaborating with data teams to resolve challenges, and implement solutions to improve the data stack.

As a Senior Data Platform Engineer, you will oversee the administration of Databricks and AWS, manage data engineering dev ecosystems, collaborate with teams on data needs, and mentor junior staff.

Design, develop and maintain data pipelines and ETL processes. Collaborate with cross-functional teams to implement AI solutions and ensure data quality.

This role involves building and maintaining data pipelines, automating processes, and collaborating with teams to improve data quality and infrastructure.

Starburst seeks a Senior Software Engineer to improve its data ingestion and transformation platform, focusing on building scalable systems using Java, and distributed technologies like Trino and Apache Iceberg. You'll collaborate with teams to design features and maintain high standards for software development.

The Senior Data Engineer will build and maintain analytics infrastructure, develop ETL processes, integrate data sources, mentor team members, and optimize data architecture.

Lead the technical vision for the Data Platform team, focusing on building scalable infrastructure and providing mentorship across engineering teams.

Design and implement scalable data orchestration and processes, optimize data operations, and support building various platform areas.

Lead technical discussions and design products based on vehicle telematics data. Collaborate with teams, ship features, and ensure customer satisfaction using real-time data insights.

As a Data Warehouse Engineer, you'll build reusable internal data products, design scalable pipelines, and collaborate with stakeholders for actionable insights.

You will collaborate on integrations, participate in code reviews, and troubleshoot complex problems while working within a team.

The Data Engineer will design and maintain ETL pipelines and data storage solutions, collaborating with cross-functional teams to ensure efficient data processing and delivery.

Design and build data integration frameworks and pipelines while ensuring data accuracy and resolving management issues, collaborating with DevOps and data scientists.