Top Data Engineer Jobs in Houston, TX

As a Data Engineer, you will build and optimize data models, maintain scalable data infrastructure, and ensure data quality for analytics.

The Data Engineer will build and optimize data pipelines, ensuring accurate data delivery for pricing models and analytics, while collaborating with internal teams.

As a Data Engineer 4, you will design and implement scalable big data pipelines, develop product features, and maintain data quality frameworks. You'll collaborate with product teams and contribute to architectural decisions, focusing on processing automotive data effectively.

As a Data Engineer at Monte Carlo, you will build and maintain data pipelines, collaborate with data science teams, and enhance pipeline reliability using the company's own product.

The Data Engineer will solve complex data challenges using Palantir Foundry and build data pipelines, deploying on AWS while optimizing 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.

Develop and manage data transformation solutions for the U.S. Army, focusing on cloud technology, data pipelines, and software delivery.

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

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

The Senior Staff Software Engineer will design and implement Webflow's Central Data Catalog, lead the governance strategy, and improve data infrastructure while mentoring engineers.

As a Data Engineer, you will set the technical direction for a streaming data processing engine, implement it, ensure best practices, and work with teams to prioritize tasks and improve processes.

Lead the design, build, and operation of Twilio's ML and data platform, architecting pipelines and implementing MLOps best practices while mentoring engineers.

As a Data Warehouse Engineer, you'll build scalable data products, design data models, optimize analytics architecture, and enable self-service analytics for stakeholders.

The BI Data Engineer will build data pipelines, develop data models, conduct analyses, and drive BI tool usage across teams.

The role involves developing and implementing updates to SAP BW, working with Azure data solutions, leading projects, and ensuring data governance.

Design and maintain scalable data pipelines and infrastructure for AI and ML initiatives, ensuring data quality and collaborating with teams to deliver insights.

The Applied AI and Data Sciences Engineer develops, manages, and enhances AI tools and data sciences solutions, collaborating with IT and vendors to implement projects successfully.

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.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.

Lead fullstack applications and data systems for Yahoo Search, overseeing technical direction, coach engineers, ensure code quality, and collaborate on scalable solutions.

The role involves designing and developing scalable data pipelines, migrating to a cloud-first architecture, and collaborating on data solutions using modern cloud data technologies.

The Data Engineer I will build robust data models, maintain data infrastructure, ensure data quality, and collaborate with analysts and scientists for business insights.

As a Data Engineer, you'll build data pipelines, transform telemetry into performance metrics, and derive QoE insights, collaborating with a small team.

The Data Engineer I supports data conversions, hygiene, and custom services by manipulating, editing, and transforming datasets. Responsibilities include monitoring data jobs, validating data, and documenting workflows.

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