Top Data Engineer Jobs in Houston, TX

As a Big Data Solutions Engineer, you'll design and implement scalable Big Data solutions on cloud platforms, managing workflows and integrating with various teams to optimize data processing.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The role involves designing, optimizing, and extending data pipelines and infrastructure to support healthcare analytics, ensuring compliance and data quality.

Join Numeral as a Data Software Engineer to design and scale data systems, pipelines, and infrastructure while collaborating with cross-functional teams.

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

Lead cross-functional teams to develop scalable data solutions, mentor engineers, and architect technical designs for data systems. Ensure project alignment with business goals and improve workflows for internal and external users.

Transform streams of data into insights in Pharmacy Benefits Management using tools like Python and data warehouse technologies, mentoring junior members.

Design, implement, and maintain data models and distributed systems to enhance data quality and governance in Pharmacy Benefits Management.

As a Senior Data Reliability Engineer, you'll enhance data system reliability, collaborate with teams, and optimize database infrastructure using GCP and PostgreSQL.

Lead the architecture and development of scalable data pipelines, mentor team members, and align data engineering practices with business objectives in a complex technical environment.

You will design and build core components of the data platform, automate infrastructure, and collaborate with teams to enhance scalability and reliability.

As a Senior Software Engineer, you'll develop and maintain JVM-based data frameworks, focusing on performance and scalability for high-volume data processing with ClickHouse.

Lead a team to develop large-scale data analysis frameworks and ML models for autonomous vehicles, driving project execution and innovation.

As a Senior Data Engineer, you will build data pipelines and infrastructure for analytics, ensuring data quality and optimizing ETL processes to support business strategies and customer products.

Develop and implement scalable solutions for a high-performance online infrastructure for AI inference, architecting low-latency serving platforms and enhancing query execution capabilities.

As a Staff Software Engineer, you will architect and scale compute engines and storage, improve query optimization, and lead technical domains and cross-functional projects.

As a senior engineer, you'll architect and scale compute engines and storage architecture, optimize query performance, and mentor junior engineers.

As a Senior Software Engineer, you will design and code back-end systems with a focus on data engineering, ensuring scalable solutions and collaborating with an agile team.

The Staff Data Engineer at Apptegy will lead the design and implementation of scalable data solutions, mentor teams, and establish data engineering best practices while collaborating across departments.

The Lead Data Engineer will own the data platform, ensuring data quality, optimizing infrastructure, mentoring engineers, and collaborating with teams to create scalable data solutions.

The Senior Software Engineer will focus on Lucene's distributed indexing and query capabilities, improve code features, and collaborate with a global team.

The Sr Data Engineer will design and maintain data pipelines, optimize data processes, and support analytics in GCP, enhancing healthcare data insights.

The Senior Data Acquisition Engineer will develop web crawling technologies, enhance data quality, and collaborate on data product development.