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Data World Jobs in Austin, TX (NOW HIRING)

Visa

Data Scientist

Austin, TX · On-site

$123K/yr

About Us Visa is a world leader in payments technology, facilitating transactions between consumers ... You will be working with a large variety of data sets, cutting-edge security technologies, and ...

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Raytheon

Principal Analyst Data Manager

Austin, TX · On-site

With our three market leading businesses, world-class operations and investments in research and ... Builds a data track in a Product Data Management (PDM) system * Identifies, with help from the ...

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All JobsData World JobsData World Jobs in Austin, TX

Data World information

See Austin, TX salary details

$45.6K

$163.6K

$241.4K

How much do data world jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data world in Austin, TX is $163,567.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

What is Data World?

Data World is a data catalog and collaboration platform that helps organizations discover, govern, and share data across teams. It allows users to connect to various data sources, organize datasets, and collaborate in real-time to derive insights. Data World is often used to break down data silos, improve data governance, and make data more accessible and usable for decision-making. The platform supports integration with popular analytics and business intelligence tools, making it easier for teams to analyze and visualize data.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science, often supported by a relevant degree. Experience with data analysis tools such as SQL, Python, R, and visualization platforms like Tableau or Power BI is typically required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Attention to detail, critical thinking, and effective communication are essential soft skills to interpret data and convey insights to stakeholders. These abilities are crucial for transforming complex data into actionable business decisions and driving organizational success.

What are some common challenges data analysts face when working with large datasets, and how can they be addressed?

Data Analysts often encounter difficulties such as data inconsistency, missing values, and processing delays when handling large datasets. These challenges can be mitigated by implementing robust data cleaning processes, using automation tools for repetitive tasks, and leveraging cloud-based analytics platforms for scalability. Collaboration with data engineers and IT teams is also crucial to ensure data integrity and streamline workflows. Staying updated with industry-standard software and best practices helps analysts efficiently manage complex data scenarios.

What is the difference between Data World vs Data Analyst?

AspectData WorldData Analyst
Required CredentialsTypically a background in data management, database systems, or data engineering; certifications like Microsoft Certified Data Analyst or similar are commonOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Certified Data Analyst Associate are common
Work EnvironmentPrimarily involves managing data platforms, databases, and data infrastructure; may work with data engineers and IT teamsFocuses on analyzing data sets, creating reports, and providing insights; collaborates with business teams and stakeholders
Employer & Industry UsageUsed in organizations with large data infrastructure, including tech, finance, and healthcare sectorsCommon across industries for decision-making, marketing, finance, and operations

While both roles involve working with data, Data World typically refers to the platform or environment for managing data, whereas Data Analyst focuses on analyzing data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

What are popular job titles related to Data World jobs in Austin, TX?

For Data World jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Data World jobs in Austin, TX look for?

The top searched job categories for Data World jobs in Austin, TX are:

Data World jobs near you
Infographic showing various Data World job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $163,567 per year, or $78.6 per hour.

Data Processing Engineer

Robotic Data (FKA Voxelmaps)

Austin, TX

$72K - $83K/yr

Full-time

Posted 9 days ago

Job 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.
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 with Linux, including:
    • Bash scripting
    • File system operations and permissions
    • Process monitoring
    • Working via SSH
    • Mounting network shares
  • Experience with Python 3:
    • Ability to read, modify, and debug scripts
  • Experience with Docker:
    • Running containers
    • Managing images
    • Retrieving logs
    • Understanding volume mounts
  • Working knowledge of Git:
    • Checkout and commit workflows
    • Basic branching
  • Ability to troubleshoot technical issues and follow structured workflows
Good to have:
  • Experience with orchestration frameworks such as Dagster, Apache Airflow, or Prefect
  • Experience using AWS CLI (S3 data upload/download)
  • Familiarity with PDAL and point cloud data processing
  • Experience with ROS, including command-line tools such as rosbag
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 gt; Screening Interview gt; Technical Evaluation gt; Final Interview gt; Decision gt; Hire gt; 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.

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