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Data Processing Assistant Jobs in Buda, TX (NOW HIRING)

Avride

Software Engineer - ML Platform

Austin, TX · On-site

... ML training and data processing for autonomous driving. We sit between Cloud Platform and ML ... assist with the application or hiring process, or to perform the essential functions of a job ...

SNC-Lavalin

Geomaticist

Austin, TX · Hybrid

$66K - $109K/yr

... surveys, data processing, and analysis. Your role Depending on service supported, typical duties may include the following: * Perform research and assist with boundary analysis and survey ...

Dabella

Data Analyst

Austin, TX · On-site

$75K/yr

... * Assist with the development of business requirements and specifications for data projects ... Support data governance, quality initiatives, and continuous improvement of reporting processes

DaBella

Data Analyst

Austin, TX · On-site

$75K/yr

... * Assist with the development of business requirements and specifications for data projects ... Support data governance, quality initiatives, and continuous improvement of reporting processes

HEB

Data Engineering Manager

Austin, TX

Coach and mentor engineers in engineering best practices, technologies, processes, and career ... * Assist in diagnosing and resolving highly complex technical and operational issues. Customer ...

Hiller Measurements

Data Entry Clerk

Austin, TX · On-site

$17.50 - $23.50/hr

Generate reports and assist in preparing presentations, as required by the Program Manager. Extract and compile data from various sources to support project analysis and decision-making processes.

Hiller Measurements Inc

Data Entry Clerk

Austin, TX

$17.50 - $23.50/hr

Generate reports and assist in preparing presentations, as required by the Program Manager. Extract and compile data from various sources to support project analysis and decision-making processes.

JobPath Partners LLC

Enterprise Data Architect

Austin, TX · On-site

$108.83 - $147.40/hr

Develop the agency's data management organization's customer engagement strategy * Assist in the ... * Assist in the technology selection process * Anticipate bottlenecks, balance the business needs ...

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All JobsData Processing JobsData Processing Assistant JobsData Processing Assistant Jobs in Buda, TX

Data Processing Assistant information

See Buda, TX salary details

$11

$19

$32

How much do data processing assistant jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data processing assistant in Buda, TX is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $21.11 per hour, depending on experience, location, and employer.

What is the salary of data processing assistant grade a grade?

The salary of a Data Processing Assistant Grade A typically ranges from $30,000 to $45,000 annually, depending on the country, experience, and government or organizational pay scales. Entry-level positions may start at the lower end, with potential for increases based on performance and tenure.

What are the key skills and qualifications needed to thrive as a data processing assistant?

To thrive as a Data Processing Assistant, you need strong data entry skills, attention to detail, and a high school diploma or equivalent. Familiarity with spreadsheet software like Microsoft Excel, database management systems, and sometimes basic knowledge of data processing software is typically required. Excellent organizational abilities, time management, and the capacity to maintain confidentiality set top performers apart. These skills ensure accurate, efficient handling of sensitive information, directly supporting effective business operations.

What are some common challenges faced by data processing assistants, and how can they be addressed?

Data Processing Assistants often encounter challenges such as managing large volumes of data with tight deadlines and ensuring the accuracy of information being entered or processed. To address these issues, it's important to develop strong organizational habits, regularly double-check work for errors, and leverage available software tools to automate repetitive tasks. Collaborating closely with data analysts, supervisors, and IT team members can also help resolve discrepancies quickly and maintain data integrity.

What is the difference between Data Processing Assistant vs Data Entry Clerk?

AspectData Processing AssistantData Entry Clerk
Required CredentialsHigh school diploma; some roles may prefer certifications in data managementHigh school diploma; basic computer skills
Work EnvironmentOffice settings, data centers, or remoteOffice environments, primarily in administrative settings
Employer & Industry UsageBusinesses, government agencies, healthcare, financeAdministrative offices, retail, healthcare, government
Common Search & ComparisonOften compared for data handling tasks, technical skillsCompared for basic data input, administrative support

The main difference is that Data Processing Assistants handle more complex data management tasks, often involving data validation and processing, while Data Entry Clerks focus primarily on inputting data accurately. Both roles are essential in data-related workflows but differ in scope and technical requirements.

What cities near Buda, TX are hiring for Data Processing Assistant jobs? Cities near Buda, TX with the most Data Processing Assistant job openings:
Data Processing Assistant jobs near you
Infographic showing various Data Processing Assistant job openings in Buda, TX as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,801 per year, or $19.1 per hour.

Software Engineer - ML Platform

Avride

Austin, TX • On-site

Full-time

Re-posted 10 days ago

Job description

About the team
The ML Platform team at Avride builds the infrastructure that powers large-scale ML training and data processing for autonomous driving. We sit between Cloud Platform and ML engineers, turning low-level compute, storage, and networking primitives into an ML platform that teams actually use - scalable orchestration, distributed compute, and production-grade tooling for the full model lifecycle.
About the role
As an ML Platform Engineer at Avride, you'll own critical pieces of the ML stack: workflow orchestration, distributed execution, resource governance, performance.You will shape how ML teams across the company run experiments and train models at scale. You will build the abstractions and services that make training workloads reliable, cost-efficient, and fast, helping ML teams run at scale on Kubernetes with strong reliability and excellent developer experience.
What you will do
  • Build and scale our ML compute platform on Kubernetes, using Argo Workflows for training, evaluation, and data processing orchestration
  • Design and implement core platform capabilities, including a Ray-based internal SDK for distributed execution, and multi-tenant resource governance - scheduling, priorities, quotas, and policy enforcement across GPU, CPU, memory, and IO
  • Improve end-to-end training throughput and platform efficiency by optimizing data access patterns, caching, and removing bottlenecks in storage, network, and resource contention
  • Work directly with ML teams to debug complex workload issues, drive root-cause analysis, and turn recurring problems into platform-level fixes
  • Evaluate, integrate and extend open-source tooling (Argo Workflows, Ray, Kubernetes ecosystem) to meet evolving platform needs
What you will need
  • Strong proficiency in Python or Go; C++ is a plus
  • Track record of designing and building scalable, maintainable systems and services
  • Experience operating production services end-to-end: APIs, reliability practices, observability
  • Deep knowledge of Kubernetes: how scheduling, resource management, controllers, and pod lifecycle actually behave under pressure
  • Solid Linux and systems debugging skills: performance investigation, networking, storage/IO
  • Ability to troubleshoot complex production issues across logs, metrics, and traces and drive them to resolution
Nice to have
  • Experience with Argo Workflows, Ray, MLflow, or comparable distributed ML tooling
  • Hands-on experience building or operating large-scale ML training systems: GPU scheduling, distributed training, training data pipelines
  • Track record of optimizing resource usage and performance in distributed environments

Candidates are required to be authorized to work in the U.S. The employer is not offering relocation, sponsorship, and remote work options are not available.
Avride is an equal opportunity employer and committed to providing reasonable accommodations to qualified applicants and employees with disabilities to ensure they have equal access to employment opportunities. Avride complies with the Americans with Disabilities Act (ADA), if you need a reasonable accommodation to assist with the application or hiring process, or to perform the essential functions of a job, please email jobs@avride.ai.

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