{"schemaVersion":"jobsearcher.job.v1","id":"a2a5bbb1bb9d575d4e4c3cb0","url":"https://jobsearcher.com/jobs/a2a5bbb1bb9d575d4e4c3cb0","canonicalUrl":"https://jobsearcher.com/jobs/a2a5bbb1bb9d575d4e4c3cb0","title":"Data Processing Engineer","description":"Robotic Data is seeking to hire Junior Level Data Processing Engineers to support our data processing and mapping operations. This role will focus on handling, transforming, and validating large datasets generated from mapping systems. This is a full-time role with an immediate start date.\n\nCandidates are required to have strong experience working in Linux environments, the ability to read and modify Python scripts, and hands-on experience working with Docker containers and Git version control.\n\nSelected candidates will be involved in executing and maintaining data processing workflows, troubleshooting pipeline issues, and supporting our data operations team.\n\nYou must live in Austin, Texas or be willing to relocate – as we have business operations in these locations.\n\nWhat we expect from the candidate:\nAbility to work independently and manage data processing tasks efficiently\nStrong problem-solving skills and attention to detail\nAbility to follow technical instructions and troubleshoot issues\nGood communication skills and ability to work in a team\nAbility to handle large datasets and work in a fast-paced environment\nOwnership mindset with the ability to deliver consistent results\nRequired Experience:\nStrong experience with Linux, including:\nBash scripting\nFile system operations and permissions\nProcess monitoring\nWorking via SSH\nMounting network shares\nExperience with Python 3:\nAbility to read, modify, and debug scripts\nExperience with Docker:\nRunning containers\nManaging images\nRetrieving logs\nUnderstanding volume mounts\nWorking knowledge of Git:\nCheckout and commit workflows\nBasic branching\nAbility to troubleshoot technical issues and follow structured workflows\nGood to have:\nExperience with orchestration frameworks such as Dagster, Apache Airflow, or Prefect\nExperience using AWS CLI (S3 data upload/download)\nFamiliarity with PDAL and point cloud data processing\nExperience with ROS, including command-line tools such as rosbag\nPreferred Background:\n2+ years of experience in data processing, data engineering, or similar technical roles\nExperience working with large datasets or data pipelines\nExperience supporting production-level data workflows\nPay:\nAustin, Texas:\n$72K – $83K per year (depending on experience)\nJob Type:\nFull Time\nBenefits package\nLocation:\nAustin, Texas\nWork Model:\nOffice environment (Austin office required)\nRecruitment Process:\nApplication > Screening Interview > Technical Evaluation > Final Interview > Decision > Hire > Probation Period Evaluation\n\nDO NOT CONTACT THE HIRING MANAGER DIRECTLY. YOU MUST FOLLOW THE APPLICATION PROCESS\n\nAbout Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.\n\nEEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.\n\nDISCLAIMER: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.","company":"Robotic Data Fka Voxelmaps","rawCompany":"robotic data fka voxelmaps","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-31T10:59:44.715Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"17-2199.08","title":"Robotics Engineers","slug":"robotics-engineers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541360","title":"Geophysical Surveying and Mapping Services","slug":"geophysical-surveying-and-mapping-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Processing Engineer","description":"Robotic Data is seeking to hire Junior Level Data Processing Engineers to support our data processing and mapping operations. This role will focus on handling, transforming, and validating large datasets generated from mapping systems. This is a full-time role with an immediate start date.\n\nCandidates are required to have strong experience working in Linux environments, the ability to read and modify Python scripts, and hands-on experience working with Docker containers and Git version control.\n\nSelected candidates will be involved in executing and maintaining data processing workflows, troubleshooting pipeline issues, and supporting our data operations team.\n\nYou must live in Austin, Texas or be willing to relocate – as we have business operations in these locations.\n\nWhat we expect from the candidate:\nAbility to work independently and manage data processing tasks efficiently\nStrong problem-solving skills and attention to detail\nAbility to follow technical instructions and troubleshoot issues\nGood communication skills and ability to work in a team\nAbility to handle large datasets and work in a fast-paced environment\nOwnership mindset with the ability to deliver consistent results\nRequired Experience:\nStrong experience with Linux, including:\nBash scripting\nFile system operations and permissions\nProcess monitoring\nWorking via SSH\nMounting network shares\nExperience with Python 3:\nAbility to read, modify, and debug scripts\nExperience with Docker:\nRunning containers\nManaging images\nRetrieving logs\nUnderstanding volume mounts\nWorking knowledge of Git:\nCheckout and commit workflows\nBasic branching\nAbility to troubleshoot technical issues and follow structured workflows\nGood to have:\nExperience with orchestration frameworks such as Dagster, Apache Airflow, or Prefect\nExperience using AWS CLI (S3 data upload/download)\nFamiliarity with PDAL and point cloud data processing\nExperience with ROS, including command-line tools such as rosbag\nPreferred Background:\n2+ years of experience in data processing, data engineering, or similar technical roles\nExperience working with large datasets or data pipelines\nExperience supporting production-level data workflows\nPay:\nAustin, Texas:\n$72K – $83K per year (depending on experience)\nJob Type:\nFull Time\nBenefits package\nLocation:\nAustin, Texas\nWork Model:\nOffice environment (Austin office required)\nRecruitment Process:\nApplication > Screening Interview > Technical Evaluation > Final Interview > Decision > Hire > Probation Period Evaluation\n\nDO NOT CONTACT THE HIRING MANAGER DIRECTLY. YOU MUST FOLLOW THE APPLICATION PROCESS\n\nAbout Us: Robotic Data provides the real-world data infrastructure for Physical AI. The company combines World Data and Human Data to create high-quality datasets that enable autonomous vehicles, drones, embodied AI, humanoid robots, and other intelligent systems to understand, navigate, and operate safely in the physical world. Learn more at www.roboticdata.com.\n\nEEO Statement: Robotic Data is an equal opportunity employer. All qualified applicants will receive consideration for employment. Supplier shall not discriminate against any worker based on age, disability, ethnicity, gender, marital status, national origin, political affiliation, color, race, religion, sexual orientation, gender identity or expression, union membership, protected veteran status, genetic information, or any other status protected by country law, in hiring and other employment practices. Supplier shall not require pregnancy or medical tests, except where required by applicable laws or regulations or prudent for workplace safety, and shall not improperly discriminate based on test results.\n\nDISCLAIMER: All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.","datePosted":"2026-08-31T10:59:44.715Z","dateModified":"2026-08-31T10:59:44.715Z","hiringOrganization":{"@type":"Organization","name":"Robotic Data Fka Voxelmaps","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a2a5bbb1bb9d575d4e4c3cb0"},"url":"https://jobsearcher.com/jobs/a2a5bbb1bb9d575d4e4c3cb0"}}