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Data Processing Services Jobs in Kyle, TX (NOW HIRING)

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

You will build and maintain highly scalable, fault-tolerant distributed data processing systems ... self-service analytics * p]:inline" data-streamdown="list-item">Develop data pipelines that ...

Senior Software Engineer, Big Data

Austin, TX ยท Remote

$140K - $200K/yr

We're working on data driven systems and applications and need people who can build fast services and processes to power all of the intelligence we use to help change people's lives. Responsibilities:

Staff Data Engineer-AI Platform

Austin, TX ยท On-site

$113K - $136K/yr

Performs full SDLC process, including planning, design, development, certification, implementation ... Engages with shared services teams and vendors as needed * Influences others in technical decision ...

Staff Data Engineer-AI Platform

Austin, TX ยท On-site

$140 - $190/hr

Performs full SDLC process, including planning, design, development, certification, implementation ... Engages with shared services teams and vendors as needed * Influences others in technical decision ...

Performs full SDLC process, including planning, design, development, certification, implementation ... Engages with shared services teams and vendors as needed * Influences others in technical decision ...

Entry level Data Engineer - New Grad

Austin, TX ยท Hybrid

$113K - $136K/yr

Build, maintain, and support data pipelines and ETL/ELT processes that move and transform data ... Apps, Service Bus, and related Azure services. * Support the development of reliable data ...

Data Engineer - Senior Associate

Austin, TX ยท On-site

$77K - $202K/yr

... processing, and storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP services - Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data ...

Showing results 41-60

Data Processing Services information

See Kyle, TX salary details

$11

$19

$33

How much do data processing services jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data processing services 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 Processing Services vs Data Analysts?

AspectData Processing ServicesData Analysts
Primary RoleHandling data entry, cleaning, and preparation for analysisInterpreting data, generating insights, and creating reports
Required SkillsData management, basic software proficiency, attention to detailStatistical analysis, data visualization, critical thinking
Work EnvironmentData centers, offices, remote data teamsOffices, research teams, business units
CertificationsData management certifications, basic IT skillsData analysis certifications, statistical tools proficiency

Data Processing Services focus on preparing and managing raw data, while Data Analysts interpret this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are career opportunities in data processing services?

Careers in data processing services include roles such as data analyst, data entry clerk, database administrator, and data processing technician. These positions often require skills in data management, familiarity with software tools like Excel or SQL, and attention to detail. Opportunities exist across industries such as finance, healthcare, and technology, with some roles requiring certifications or training in data management systems.

What does a data processing services job do?

A data processing services job involves collecting, organizing, and analyzing data to ensure accuracy and usability. It often requires skills in data entry, database management, and familiarity with tools like Excel or specialized software, with attention to detail and data security being important aspects.

What is a data processing service?

A data processing service involves collecting, organizing, and converting raw data into meaningful information for analysis or decision-making. Data processing professionals often use tools like databases, spreadsheets, and programming languages to perform tasks such as data entry, validation, and transformation, ensuring data accuracy and integrity.

What cities near Kyle, TX are hiring for Data Processing Services jobs?

Cities near Kyle, TX with the most Data Processing Services job openings:

Senior Data Engineer

Roku

Austin, TX โ€ข On-site

$105K - $142K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago


Job description

Teamwork makes the stream work.
Roku is changing how the world watches TV
Roku is the #1 TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers.
From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines.
About the team
The mission of Roku's Data Engineering team is to develop a world-class big data platform that enables internal and external customers to leverage data to grow their businesses. Data Engineering works closely with business partners and Engineering teams to collect metrics on existing and new initiatives that are critical to business success. As a Data Engineer working on Device metrics, you will design data models & develop scalable data pipelines to capture different business metrics across different Roku Devices.
About the role
As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play a pivotal role in designing data models and building scalable pipelines to capture business metrics across Roku devices, Roku-powered TVs, web, and mobile clients. Your work will enable data-driven decisions that shape the content discovery and viewing experience for millions of users worldwide. You will build and maintain highly scalable, fault-tolerant distributed data processing systems that handle tens of terabytes of data ingested daily, as well as a petabyte-scale data warehouse. By delivering trusted, high-quality data products, you will help teams understand which product features resonate most with users, measure their impact, and uncover opportunities to continuously improve the Roku experience. You will also participate in architecture discussions, influence the product roadmap, and take ownership of new projects from inception to delivery. This is an exciting opportunity for a data engineering professional who thrives in a fast-paced environment and is passionate about solving complex data challenges at scale.
How will I use AI at Roku?
At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact.
We value your AI skills if you have built fluency across the agentic engineering toolchain - coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive an agent, verify its output, and ramp on an unfamiliar codebase with an agent helping you.
What you'll be doing
  • p]:inline" data-streamdown="list-item">Build highly scalable, available, and fault-tolerant distributed data processing systems (batch and streaming) that process tens of terabytes of data daily and manage a petabyte-scale data warehouse
  • p]:inline" data-streamdown="list-item">Design and build quality data solutions and refine diverse datasets into simplified data models that encourage self-service analytics
  • p]:inline" data-streamdown="list-item">Develop data pipelines that optimize for data quality and are resilient to poor-quality data sources
  • p]:inline" data-streamdown="list-item">Own data mapping, business logic, transformations, and data quality standards
  • p]:inline" data-streamdown="list-item">Perform low-level systems debugging, performance measurement, and optimization on large production clusters
  • p]:inline" data-streamdown="list-item">Participate in architecture discussions, influence the product roadmap, and take ownership and responsibility for new projects
  • p]:inline" data-streamdown="list-item">Maintain and support existing platforms and drive evolution to newer technology stacks and architectures

We're excited if you have
  • p]:inline" data-streamdown="list-item">8+ years of professional experience as a Data Engineer
  • p]:inline" data-streamdown="list-item">Extensive SQL skills with the ability to write complex, optimized queries
  • p]:inline" data-streamdown="list-item">Proficiency in at least one scripting language, with Python preferred
  • p]:inline" data-streamdown="list-item">Extensive experience with big data technologies such as Hadoop (HDFS, YARN, MapReduce), Hive, Kafka, Spark, Airflow, and Presto/Trino
  • p]:inline" data-streamdown="list-item">Deep expertise in Apache Spark, including performance tuning, optimization, and building scalable batch and streaming data pipelines
  • p]:inline" data-streamdown="list-item">Proficiency in data modeling, including designing, implementing, and optimizing conceptual, logical, and physical data models to support scalable and efficient data architectures
  • p]:inline" data-streamdown="list-item">Experience collaborating with cross-functional teams such as developers, analysts, and operations to deliver results
  • p]:inline" data-streamdown="list-item">BS in Computer Science or a related field; MS in Computer Science preferred
  • p]:inline" data-streamdown="list-item">Experience with AWS, GCP, or Looker
  • p]:inline" data-streamdown="list-item">AI literacy and an AI growth mindset
#LI-JC5
What's Roku's approach to hybrid working?
Roku fosters an inclusive and collaborative environment where teams generally work in the office Monday through Thursday. Fridays are generally flexible for remote work, except for employees whose specific roles or assigned office location require five days' a week attendance.
What are some of the benefits?
Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter.
Accommodations
Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to EmployeeRelations@Roku.com.
What should I know about Roku's culture?
Roku is a great place for people who want to work in a fast-paced environment where everyone is focused on the company's success rather than their own. We try to surround ourselves with people who are great at their jobs, who are easy to work with, and who keep their egos in check. We appreciate a sense of humor. We believe a fewer number of very talented folks can do more for less cost than a larger number of less talented teams. We're independent thinkers with big ideas who act boldly, move fast and accomplish extraordinary things through collaboration and trust. In short, at Roku you'll be part of a company that's changing how the world watches TV.
We have a unique culture that we are proud of. We think of ourselves primarily as problem-solvers, which itself is a two-part idea. We come up with the solution, but the solution isn't real until it is built and delivered to the customer. That penchant for action gives us a pragmatic approach to innovation, one that has served us well since 2002.
To learn more about Roku, our global footprint, and how we've grown, visit https://www.weareroku.com/factsheet.
By providing your information, you acknowledge that you want Roku to contact you about job roles, that you have read Roku's Applicant Privacy Notice, and understand that Roku will use your information as described in that notice. If you do not wish to receive any communications from Roku regarding this role or similar roles in the future, you may unsubscribe at any time by emailing WorkforcePrivacy@Roku.com.