Data Processing Engineer

Voxelmaps; Austin (TX); On-site; USD 72,000 - 83,000; Full time

Job summary

Robotic Data, based in Austin, TX, seeks a Junior Level Data Processing Engineer to handle, transform, and validate large mapping datasets. This full-time role requires Linux proficiency and Python scripting abilities.

You will work with Docker, Git, and modern data pipelines to execute and maintain workflows, troubleshoot issues, and support the data operations team in a fast-paced environment. Austin office required.

Qualifications

• Ability to work independently and manage data processing tasks efficiently.
• Strong problem-solving skills and attention to detail.
• Follow technical instructions and troubleshoot issues.
• Good communication and teamwork.
• Handle large datasets and fast-paced environments.
• Ownership mindset and delivering consistent results.
• Linux experience with Bash scripting, file operations, SSH and mounts.
• Experience with Python 3: read, modify, and debug scripts.
• Experience with Docker: run containers, manage images, retrieve logs, and volume mounts.

Responsibilities

• Execute and maintain data processing workflows.
• Troubleshoot pipeline issues and support data operations team.
• Collaborate with the team to improve data pipelines and data quality.

Skills

Linux

Python 3

Docker

Git

Bash scripting

Dagster

Apache Airflow

Prefect

AWS CLI

PDAL

ROS

Tools

Docker

Git

AWS CLI

PDAL

ROS

Job description

Robotic Data is seeking to hireJunior LevelData Processing Engineersto 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.

Candidates 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.

Selected candidates will be involved in executing and maintaining data processing workflows, troubleshooting pipeline issues, and supporting our data operations team.

You must live in Austin, Texas or be willing to relocate – as we have business operations in these locations.

What we expect from the candidate:

• Ability to work independently and manage data processing tasks efficiently
• Strong problem-solving skills and attention to detail
• Ability to follow technical instructions and troubleshoot issues
• Good communication skills and ability to work in a team
• Ability to handle large datasets and work in a fast-paced environment
• Ownership mindset with the ability to deliver consistent results

Required Experience:

• Strong experience withLinux, including:
  • Bash scripting
  • File system operations and permissions
  • Process monitoring
  • Working via SSH
  • Mounting network shares
• Experience withPython 3:
  • Ability to read, modify, and debug scripts
• Experience withDocker:
  • Running containers
  • Managing images
  • Retrieving logs
  • Understanding volume mounts
• Working knowledge ofGit:
  • Checkout and commit workflows
  • Basic branching
• Ability to troubleshoot technical issues and follow structured workflows

Good to have:

• Experience with orchestration frameworks such asDagster, Apache Airflow, or Prefect
• Experience usingAWS CLI(S3 data upload/download)
• Familiarity withPDALand point cloud data processing
• Experience withROS, including command-line tools such asrosbag

Preferred Background:

• 2+ years of experience in data processing, data engineering, or similar technical roles
• Experience working with large datasets or data pipelines
• Experience supporting production‑level data workflows

Pay:

Austin, Texas:

• $72K – $83K per year (depending on experience)

Job Type:

• Full Time
• Benefits package

Location:

• Austin, Texas

Work Model:

• Office environment (Austin office required)

Recruitment Process:

Application > Screening Interview > Technical Evaluation > Final Interview > Decision > Hire > Probation Period Evaluation

DO NOT CONTACT THE HIRING MANAGER DIRECTLY. YOU MUST FOLLOW THE APPLICATION PROCESS

About 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.
EEO 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.

DISCLAIMER:

All claims and offers to compensation, rewards, and onboarding procedures are at the sole discretion of Robotic Data.