Jobgether · US
Senior Data Engineer for a partner company in the US, building data infrastructure for humanoid robotics and automation. The role builds Spark and Airflow ETL pipelines on AWS that turn robot telemetry and logs into gold-layer datasets, with Python, Java, or C++ libraries. Requires Iceberg or Delta Lake experience.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer, Data Analytics based in the United States.
We are seeking an experienced Senior Data Engineer to build and optimize the data infrastructure powering next-generation humanoid robotics and automation. In this role, you will transform large volumes of raw robot telemetry, logs, and operational data into reliable, high-quality datasets that support analytics, debugging, and fleet-wide insights. You will work at the intersection of robotics, hardware engineering, software development, and cloud-based data infrastructure. Partnering with multidisciplinary teams, you will design scalable ETL pipelines, develop data models, and establish robust data quality and governance practices. Your work will directly support hardware reliability, system performance, machine learning, and operational decision-making. This is an opportunity to join a small, high-impact team shaping the future of robotics through innovative, data-driven solutions.
How Jobgether works:
We use an
AI-powered matching process
to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice:
By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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