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Data Processor Jobs in Kyle, TX (NOW HIRING)

Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture. * Must have strong programming ...

Sr.Data Engineer

Austin, TX · On-site

$130K/yr

We're seeking a data engineer to take the lead in implementing and scaling data collection, storage, processing, and filtering for fine-tuning large language models (LLMs) within Conversational ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Data Engineer

Austin, TX

$134K - $245K/yr

Your responsibilities will encompass designing data architectures, optimizing data processing ... workflows, and ensuring data quality and governance throughout our systems.","responsibilities ...

Data Engineer

Austin, TX

$141K - $258K/yr

Your responsibilities will encompass designing data architectures, optimizing data processing ... workflows, and ensuring data quality and governance throughout our systems.","responsibilities ...

Data Engineer

Austin, TX

$134K - $245K/yr

Your responsibilities will encompass designing data architectures, optimizing data processing ... workflows, and ensuring data quality and governance throughout our systems.","responsibilities ...

Sr. Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

Build highly scalable, available, fault-tolerant distributed data processing systems (batch and streaming systems) processing over 10s of terabytes of data ingested every day and petabyte-sized data ...

Sr. Data Engineer, iCloud

Austin, TX · On-site

$113K - $136K/yr

Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data Own and evolve extremely rich datasets on iCloud products and platform interactions to power a ...

Sr. Data Engineer, iCloud

Austin, TX · On-site

$113K - $136K/yr

Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data Own and evolve extremely rich datasets on iCloud products and platform interactions to power a ...

Ensure that data processes and outputs are robust, insightful, and timely. * Ad-hoc analytics and insights . Promptly address ad-hoc analysis requests with clear, well-structured outputs rooted in ...

Data Engineer

Austin, TX

$113K - $136K/yr

Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability. * Cloud Ecosystem: Develop and manage end-to-end ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Design and implement robust Data Modeling and Architecture strategies that support high-volume data processing and maintain long-term scalability. * Cloud Ecosystem: Develop and manage end-to-end ...

Loan Processor

Austin, TX · On-site

$18.50 - $24.75/hr

Ability to accurately and efficiently process and record large amounts of data Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

You'll work at the intersection of large-scale data processing and real-world operational impact - creating intelligence that directly influences how Amazon fulfills millions of orders across ...

Loan Processor

Austin, TX

$18.50 - $24.75/hr

Ability to accurately and efficiently process and record large amounts of data Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and ...

Loan Processor

Austin, TX

$18.50 - $24.75/hr

Ability to accurately and efficiently process and record large amounts of data Come join a winning team with a Fortune 500 company! We are growing fast and are looking for enthusiastic attitudes and ...

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Data Processor information

See Kyle, TX salary details

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How much do data processor jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data processor in Kyle, TX is $19.45, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $21.44 per hour, depending on experience, location, and employer.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What Is a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.
What job categories do people searching Data Processor jobs in Kyle, TX look for? The top searched job categories for Data Processor jobs in Kyle, TX are:
What cities near Kyle, TX are hiring for Data Processor jobs? Cities near Kyle, TX with the most Data Processor job openings:
Data Scientist - Strategic Data Solutions

Data Scientist - Strategic Data Solutions

Apple

Austin, TX

Full-time

Posted 12 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don’t just create products - they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple’s largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights
Influence upstream data model design, drive KPI definitions and develop customized data solutions
Measure impact of features and initiatives and help improve customer experience
Collaborate and influence cross functional partners to help deliver product objectives on time
Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.
Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976