Top Remote Data Engineer Jobs in Houston, TX

The ML Ops Engineer will deploy, optimize, and monitor machine learning infrastructure, collaborate with teams, and implement CI/CD pipelines.

The Research Engineer will advance decentralized AI by optimizing distributed training, developing open-source tools, publishing research, and enhancing platform capabilities.

Lead a team of Data Engineers to develop and maintain data pipelines, ensuring quality and project timelines while mentoring junior staff.

The role involves transforming business requirements into data models, leveraging Databricks, and ensuring compliance with healthcare data standards.

Lead and optimize messaging systems across various channels to enhance reliability and deliverability while managing platform migrations and integrations.

The Senior Analytics Engineer will design and build scalable data pipelines using dbt and Snowflake, providing technical guidance, conducting audits, and mentoring junior engineers while leveraging AI tools to enhance productivity.

Lead the implementation and development of advanced analytics products utilizing blockchain data to detect and mitigate cryptocurrency fraud, overseeing the entire analytics product life cycle with a collaborative team.

Lead the design and implementation of advanced ML-based analytics for cybersecurity operations. Oversee data pipeline development and integrate analytics into SIEM platforms while ensuring scalability, performance, and security.

Leading a team of data engineers to develop ETL/ELT solutions, enhance data pipelines for predictive modeling, and communicate insights effectively. Also responsible for data asset management and collaboration across teams for innovative data solutions.

The Senior Data Analytics Engineer designs and implements data models and analytics solutions, oversees data pipelines, and collaborates with teams to drive insights.