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Data Processing Jobs in Austin, TX (NOW HIRING)

Data Analyst

Austin, TX · On-site

$40 - $50/hr

Identify process improvement opportunities and contribute to data-driven decision-making. Required Qualifications: * 3+ years of experience in Data Analytics, Business Intelligence, or a related ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... processes, and workflow orchestration. • Monitor data pipelines, troubleshoot issues, and implement performance improvements. • Work in Agile teams supporting sprint planning, backlog grooming ...

New

Data Engineer II

Austin, TX · On-site

$80.95 - $98.94/hr

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

Data Engineer

Austin, TX · On-site

$90 - $130/hr

Parse and process text logs and STDF * Develop and optimize database performance and query efficiency * Implement data quality monitoring and validation frameworks * Collaborate with data scientists ...

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 ...

A-82-Scala Developer 66129

Austin, TX · On-site

$52.50 - $68.25/hr

This mission-critical platform processes provider, member, reference, and encounter data used by downstream Medicaid systems and reporting. The application framework is developed using Scala, Apache ...

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 ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures. * Partner with business stakeholders, analysts, and technology teams to ...

Lead Data Engineer

Austin, TX · Remote

$113K - $136K/yr

Design and implement batch and real-time data processing solutions using modern streaming and event-driven architectures. * Partner with business stakeholders, analysts, and technology teams to ...

Scala & Spark Developer

Austin, TX · On-site

$52.50 - $68.25/hr

Spark, YARN, HDFS, Oozie, Hive, Airflow. • Shell scripting. • Strong and exceptional knowledge of Spark Engine, Spark and Scala. • Hands on experience with data processing technologies, ETL ...

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 ...

Data Engineer with Java

Austin, TX · On-site

$113K - $136K/yr

Required : • Proficiency in building data pipelines with Python and Java • Proficiency in large scale data processing technologies such as Spark, Kafka and Flink • Familiarity with RDBMS 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 ...

Showing results 21-40

Data Processing information

See Austin, TX salary details

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$20

$34

How much do data processing jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data processing in Austin, TX is $20.08, 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 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 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 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 do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

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 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 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:

Infographic showing various Data Processing job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,773 per year, or $20.1 per hour.

Senior Python Developer / Data Engineer / ML Pipelines

Eitacies Inc

Austin, TX • Remote

$117K - $140K/yr

Full-time

Re-posted 14 days ago


Job description

Senior Python Developer / Data Engineer / ML Pipelines
100% Remote role
Responsibilities
  • Design and build large-scale data pipelines for ingestion, transformation and processing
  • Work on ETL/ELT workflows handling different types of data 
  • Build and maintain end-to-end ML pipelines  from data preparation to deployment and monitoring
  • Collaborate with data scientists to productionize ML models
  • Work on feature engineering, training pipelines and model serving
  • Ensure data quality, monitoring and pipeline reliability
  • Optimize systems for performance, scalability and cost
  • Contribute to clean, maintainable, production-grade Python code
Experience Required
  • 8+ years of software engineering experience with Python as primary language
  • Strong background in data engineering (ETL/ELT, pipelines, data processing)
  • Hands-on experience building and maintaining ML pipelines in production environments
  • Experience with PySpark / Apache Spark
  • Experience with workflow orchestration tools like Airflow, Dagster, or Prefect
  • Good understanding of streaming/data processing systems (Kafka, Kinesis, etc.)
  • Experience working with cloud platforms (AWS / GCP / Azure)
  • Strong SQL skills and experience with data warehouses
  • Comfortable working in a distributed/remote engineering setup
Plus
  • Experience with NLP or LLM-based systems
  • Familiarity with MLOps tools like MLflow, Kubeflow, or similar
  • Experience with feature stores
  • Exposure to data privacy, PII detection, or compliance-related systems

This is a remote position.