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Data Processing Jobs in Austin, TX (NOW HIRING)

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

$91K - $169K/yr

Optimize queries and data processing logic to handle large volumes of transactional data efficiently. * Ensure data integrity across the pipeline through validation, testing, and observability ...

Data Engineer

Austin, TX

$122K - $227K/yr

Optimize queries and data processing logic to handle large volumes of transactional data efficiently. * Ensure data integrity across the pipeline through validation, testing, and observability ...

GCP Data Engineer

Austin, TX · On-site

$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 ...

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 Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

The role is responsible for developing scalable data infrastructure and processing pipelines built on open table formats, distributed query and compute engines, and containerized cloud infrastructure ...

New

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

... data processing; proficient with SQL and Linux. • Educational Background: Bachelor's or Master's degree in Computer Science or a related field. • Proven ability to communicate well across ...

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 ...

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 ...

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 ...

Showing results 21-40

Data Processing information

See Austin, TX salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data processing in Austin, TX is $19.76, according to ZipRecruiter salary data. Most workers in this role earn between $15.72 and $21.78 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data processing, 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.

What is data processing?

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.

What do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
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 are popular job titles related to Data Processing jobs in Austin, TX? For Data Processing jobs in Austin, TX, the most frequently searched job titles are:
What cities near Austin, TX are hiring for Data Processing jobs? Cities near Austin, TX with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $41,773 per year, or $20.1 per hour.

Data Engineer/ Systems Analyst- Databricks

Prolim Global

Austin, TX • On-site

$113K - $136K/yr

Contractor

Posted 13 days ago


Job description

Prolim is hiring for Data Engineer for a leading client
 
Contract: Long term
Location: Austin, TX
 

I.  DESCRIPTION OF SERVICES

8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

II.  CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

8

Required

Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

8

Required

Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

8

Required

Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

8

Required

Proficiency in SQL and Python (or Scala) for large-scale data processing.

8

Required

Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

8

Required

Experience implementing data governance, data quality, and data security practices.

8

Required

Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

8

Required

Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

8

Required

Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

1

Preferred

Experience working in public sector or state government environments.

1

Preferred

Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

1

Preferred

Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).