Top Remote Senior Level Data Engineer Jobs in Austin, TX

As a Senior Software Engineer on the ML Platform team, you will develop and maintain the MLOps platform that supports machine learning training, process automation, model deployment, and monitoring. Your role focuses on optimizing software applications, building infrastructure for model training, and enabling collaboration with data engineers and research scientists.

This role involves improving data center colocation sites, managing vendor partnerships, and negotiating contracts. Responsibilities include defining vendor strategies, overseeing deals, collaborating cross-functionally, and conducting vendor management activities. The position requires strong project management skills and relationship management capabilities within a technology or cloud services environment.

As a Senior Data Engineer, you will focus on building and maintaining data infrastructure, creating and optimizing ETL pipelines, and collaborating with analysts to ensure efficient data delivery. This role requires innovations in database design and proactive monitoring of data consistency.

As a Technical Product Manager at Stack Overflow, you will lead initiatives for the Data Team focused on enhancing developer productivity through innovative data-driven products. Your responsibilities include collaborating with Data Scientists, Software Engineers, and cross-functional teams to develop features that leverage unique datasets to improve search performance and user engagement.

As a Senior Data Engineer at CrowdStreet, you will build a new data platform, manage data pipelines, and collaborate with various teams to derive insights from data. Your role encompasses the full software development lifecycle and requires direct interaction with business stakeholders to align data needs with platform capabilities.

The Principal Data Science Engineer will build tools for data analysis, conduct cleaning and feature engineering, and lead machine learning projects. Responsibilities include mentoring junior staff, presenting findings to stakeholders, and developing strategic partnerships. The role also involves applying NLP techniques and managing projects while using agile methodologies.

The Marketing Technology Data Engineer will oversee data architecture for data integration, transformation, and activation. Key responsibilities include building solutions for real-time and batch data management, developing CI/CD data models, improving data quality, and leveraging Google Cloud tools. Collaboration with cross-functional teams is essential to meet product and client needs.