Top Remote Senior Level Data Engineer Jobs in Austin, TX

Managing and leading a team of software engineers on the Data Access team. Collaborating with development teams, mentoring engineers, contributing to projects, and delivering high-quality solutions. Required skills include Java, SQL, and experience with distributed systems at scale.

Seeking a Senior Machine Learning Engineering Manager to lead a team in creating and deploying machine learning models for search. Responsibilities include managing the ML lifecycle, researching and implementing ML techniques, mentoring team members, hiring top talent, and communicating with stakeholders. Requires a Master's or PhD in a quantitative subject and 5+ years of team management experience.

Senior Software Engineer in the Central AI team at Atlassian, responsible for building and maintaining core infrastructure for machine learning models and pipelines. Leading projects from design to launch, collaborating with internal teams, and setting expectations. Offering competitive compensation and benefits. Requires 5+ years of experience, fluency in Java/Kotlin and Python, experience in Continuous Delivery, Continuous Integration, and large-scale distributed systems using AWS and Apache Spark.

Design equitable, explainable, and competitive compensation programs at Atlassian. Base pay ranges from $165,500 to $265,800 annually based on candidate's skills and expertise. Role may include benefits, bonuses, commissions, and equity opportunities.

As a Senior Data Engineer, Applied Analytics & Insights, you will play a crucial role in delivering future-focused, consumer-centric, prescriptive solutions for GM's transition to EVs. Collaborate with cross-functional teams to develop high-quality data products compliant with data privacy regulations. Stay up-to-date with emerging Data Engineering trends and technologies to drive innovation within the organization.