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Data Processing Jobs in Austin, TX (NOW HIRING)

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Document transformation processes to ensure transparency and knowledge transfer. * Collaborate with data architects and stakeholders to validate business requirements. * Ensure high data quality ...

Data Engineer II

Austin, TX · On-site

$113K - $136K/yr

Identifies and implements process improvements to enhance data operations. Automates manual workflows, optimize data delivery pipelines, and redesign system architecture to support scalability and ...

GCP Data Engineer

Austin, TX

$113K - $136K/yr

Experience with ETL processes and data pipeline design. * Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data ... Adobe aims to make our Careers website and recruiting process accessible to any and all users. If ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Adobe Customer Solutions is looking for a full time Data Engineer with experience in building data ... Adobe aims to make our Careers website and recruiting process accessible to any and all users. If ...

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 ...

GCP Data Engineer

Austin, TX

$113K - $136K/yr

Experience with ETL processes and data pipeline design. * Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and ... We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

... processing. • Proficient in Python for scripting and data processing; proficient with SQL and Linux. • Educational Background: Bachelor's or Master's degree in Computer Science or a related field ...

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Develop and maintain distributed data processing solutions using Apache Spark, including performance tuning and optimization * Implement production-grade data engineering solutions using Scala and ...

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

... processing. • Proficient in Python for scripting and data processing; proficient with SQL and Linux. • Educational Background: Bachelor's or Master's degree in Computer Science or a related field ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

Build scalable ETL/ELT pipelines for real-time and batch data processing across all data sources * Establish data ingestion frameworks to collect data from application APIs, third-party services, and ...

Senior Data Engineer

Austin, TX

$105K - $142K/yr

Build scalable ETL/ELT pipelines for real-time and batch data processing across all data sources * Establish data ingestion frameworks to collect data from application APIs, third-party services, and ...

Data Engineer @ AUSTIN,TX

Austin, TX · On-site

$113K - $136K/yr

Document transformation processes, data lineage, and migration workflows. * Collaborate with data architects, analysts, and business stakeholders to validate requirements. * Ensure high data quality ...

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Data Processing information

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How much do data processing jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data processing in Austin, TX is $20.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.16 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Data Processing position, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

What are the typical daily responsibilities of someone working in Data Processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

Is a data processor a good job?

A data processing job involves organizing, inputting, and managing data using tools like spreadsheets and database software. It can offer steady employment and requires attention to detail, but may have repetitive tasks and limited advancement opportunities depending on the organization. Overall, it can be a suitable entry-level role for those interested in data management.

What is a Data Processing job?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

How can I make 2000 a week working from home?

Data processing jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $2000 or more weekly by taking on multiple projects or clients. To reach this income level, strong skills in data entry, analysis, or software tools are essential, along with efficient time management and possibly certification. Building a reliable client base and working consistently are key factors in achieving higher weekly earnings from home.

How much does data processing make?

Data processing jobs typically pay between $35,000 and $70,000 annually, depending on experience, location, and industry. Entry-level roles may start lower, while experienced professionals with skills in data management and software tools can earn higher salaries.
What are the most commonly searched types of Data Processing jobs in Austin, TX? The most popular types of Data Processing jobs in Austin, TX are:
What job categories do people searching Data Processing jobs in Austin, TX look for? The top searched job categories for Data Processing jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Processing jobs? Cities near Austin, TX with the most Data Processing job openings:

$85K - $107K/yr

Full-time

Posted 10 days ago


University Of Texas at Austin rating

8.1

Company rating: 8.1 out of 10

Based on 62 frontline employees who took The Breakroom Quiz

133rd of 541 rated colleges and universities


Job description

Job Posting Title:
Senior Data Analyst
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Hiring Department:
Dell Medical School
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue
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Location:
UT MAIN CAMPUS
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Job Details:
Purpose:
The Senior Data Analyst is a senior individual contributor who leads complex healthcare analytics to support strategic clinical, operational, and financial decision-making, partnering with leaders and cross-functional teams to deliver high-impact insights, advance data governance, and mentor analysts.
Responsibilities:
Strategic Data Analysis and Modeling
  • Analyzes data using standard statistical tools, methods, and techniques; interprets results to identify significant differences and trends.
  • Leads the design and execution of advanced statistical models and predictive analytics.
  • Translates complex business problems into analytical frameworks.
  • Synthesizes, processes, and analyzes large datasets to uncover actionable insights.
  • Presents findings to senior leadership and governance committees.

Data Visualization
  • Develops and maintains dashboards and scorecards.
  • Standardizes KPIs and reporting methodologies across departments.
  • Automates enterprise-level reporting processes.
  • Ensures data visualizations are intuitive, accurate, and aligned with strategic goals.
  • Collaborates with IT to optimize reporting infrastructure.

Data Integration, Architecture and Standards
  • Develops and implements databases, data collection systems, and analytics strategies that optimize statistical efficiency and data quality.
  • Leads integration of disparate data sources including EHR, claims, financial, and operational systems.
  • Assists in defining, developing, and implementing data standards and data quality measures.
  • Conceptualizes, creates, and maintains operational and research data models for visualization and statistical analysis.
  • Establishes and maintains standard work procedures governing the appropriate use of data.

Stakeholder Leadership and Consultation
  • Serves as a trusted advisor to clinical and administrative leaders.
  • Consults with internal and external customers, including faculty and staff, to identify user needs and clarify data requirements.
  • Provides guidance and interpretation of complex systems and data.
  • Facilitates data strategy sessions and requirements gathering workshops.
  • Builds consensus around data definitions and usage.

Mentorship, Documentation, and Innovation
  • Mentors junior and mid-level analysts on technical and professional development.
  • Documents data analysis efforts, including data sources, reporting specifications, tools used, and issue resolutions.
  • Evaluates and pilots emerging analytics tools and methodologies.
  • Researches and stays up-to-date on new technologies and data analysis trends.
  • Leads analytics communities of practice and training sessions.
  • Contributes to scholarly activity

Marginal or Periodic Functions:
  • Participates in strategic planning and digital transformation initiatives.
  • Supports grant-funded research and academic collaborations.
  • Represents the organization at industry conferences and professional forums.
  • Leads post-implementation reviews of analytics projects.
  • Contributes to vendor evaluations and procurement of analytics tools.

Knowledge/Skills/Abilities
Strategic Agility
  • Aligns analytics with long-term organizational goals.
  • Anticipates data needs for emerging initiatives.
  • Advises leadership on strategic risks and opportunities.

Dealing with Ambiguity
  • Navigates unclear or evolving data requirements.
  • Makes sound decisions with incomplete information.
  • Adapts analysis to shifting priorities.

Influence
  • Builds consensus around data-driven decisions.
  • Communicates complex findings to diverse audiences.
  • Gains buy-in for analytics initiatives.

Technical Learning
  • Masters new analytics tools and platforms.
  • Applies advanced statistical and machine learning techniques.
  • Stays current with industry trends.

Innovation Management
  • Pilots new technologies for data processing, data generation (e.g. Synthetic), and analysis
  • Encourages experimentation and learning.
  • Identifies opportunities for automation and AI.

Collaboration
  • Leads cross-functional analytics teams.
  • Shares knowledge and builds analytics capacity.
  • Supports enterprise-wide data initiatives.

Minimum Qualifications:
Requires a Bachelor's Degree in Data Science, Public Health, Health Information Management, Statistics, Computer Science, or a related field with at least 5 year(s) of experience in healthcare analytics or data science.
  • Skilled in large scale data analysis, data processing and data technology
  • Skilled with one or more industry data models and standards (e.g. OMOP, FHIR, DICOM)
  • Experience with advanced analytics tools, data visualizations, and cloud data environments (e.g., Azure, Google AWS).
  • Relevant education may substitute for experience on a year-for-year basis.

Preferred Qualifications:
Master's Degree in a quantitative or healthcare-related field with at least 7 year(s) of experience in a complex healthcare environment. Cloud Data Analytics Certification or equivalent cloud-based certification (Azure, Google, AWS)
Salary Range
$90,000 + depending on qualifications
Working Conditions:
  • Standard office equipment
  • Repetitive use of a keyboard
  • May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others.

Required Materials
  • Resume/CV
  • 3 work references with their contact information; at least one reference should be from a supervisor
  • Letter of interest

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
Employment Eligibility:
Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.
Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
Equal Opportunity Employer:
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
Pay Transparency:
The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
Employment Eligibility Verification:
If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.
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E-Verify:
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:
  • E-Verify Poster (English and Spanish) [PDF]
  • Right to Work Poster (English) [PDF]
  • Right to Work Poster (Spanish) [PDF]

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Compliance:
Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

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