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Batch Processing Jobs in Texas (NOW HIRING)

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Data Engineer with DevOps

Dallas, TX ยท On-site

$52.25 - $71.50/hr

Process large dataset (batch + sometimes near Realtime) * Ensure data quality, consistency, and governance standards across systems * Support data integration and transformation efforts for analytics ...

Batch Mixer

Dallas, TX ยท On-site

$19 - $23/hr

... processing to support production goals * Conduct routine equipment inspections and perform ... Document production activities accurately, including batch records, quality checks, and safety logs ...

Batch Person

Baytown, TX ยท On-site

$16.50 - $20/hr

The Batch Person will ensure proper documentation of all incoming materials daily. Job ... Responsible for the operation of concrete batching process to insure the correct amount and sizes ...

Batch Person

Baytown, TX ยท On-site

$16.50 - $20/hr

The Batch Person will ensure proper documentation of all incoming materials daily. Job ... Responsible for the operation of concrete batching process to insure the correct amount and sizes ...

Troubleshoot issues and drive continuous process improvements * Perform basic calculations for mix ... Batch Plant Operator who takes pride in producing high-quality work in a safe and efficient ...

Troubleshoot issues and drive continuous process improvements * Perform basic calculations for mix ... Batch Plant Operator who takes pride in producing high-quality work in a safe and efficient ...

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Batch Processing information

See Texas salary details

$12

$18

$31

How much do batch processing jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for batch processing in Texas is $18.95, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.71 per hour, depending on experience, location, and employer.

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

To excel in a Batch Processing role, strong analytical skills, attention to detail, and experience with data processing or IT systems are essential, often supported by a degree in computer science or a related field. Familiarity with scheduling tools (like Control-M or AutoSys), mainframe environments, scripting languages, and database management is typically required. Effective communication, time management, and problem-solving abilities help professionals in this role interface with multiple teams and handle workflow interruptions. These skills ensure smooth, efficient, and accurate processing of high-volume data or transactions, minimizing errors and downtime.

What are the typical daily responsibilities for someone working in Batch Processing?

Professionals in Batch Processing are usually responsible for scheduling, monitoring, and troubleshooting large-scale data or transaction jobs that run in batches, often outside of normal business hours. They ensure that jobs are executed on time, errors are identified and resolved promptly, and all data processing meets organizational standards for accuracy and security. Collaboration with IT, database administrators, and business analysts is common to update or optimize batch processes. Additionally, they may generate reports and maintain logs for compliance or auditing purposes. The role requires keen attention to detail and flexibility to respond quickly to issues or changing workloads.

What is a batch processing job?

A batch processing job is a type of task in which data or tasks are collected, processed, and completed together in groups or batches, often scheduled to run automatically at specific times. It is commonly used in data management, accounting, and large-scale data analysis environments, requiring knowledge of scripting or automation tools. Batch jobs typically run without user interaction and are suitable for processing large volumes of data efficiently.

What jobs in the US pay 300,000 a year?

In the field of batch processing and related IT roles, senior software engineers, data architects, and IT managers can earn $300,000 or more annually, especially with extensive experience, specialized skills, and leadership responsibilities. High-paying positions often require advanced certifications, expertise in cloud platforms, and managing large-scale data systems or infrastructure.

What is an example of a batch job?

A batch job in batch processing involves executing a series of tasks or data processing jobs automatically without user interaction, often scheduled to run during off-peak hours. Examples include processing payroll, generating reports, or data backups, typically managed using tools like cron or job schedulers. These jobs handle large volumes of data efficiently and are common in data management and enterprise environments.

What is a Batch Processing job?

A Batch Processing job is a type of computing task that processes large volumes of data in groups (or batches) without user interaction. These jobs are typically scheduled to run at specific times or triggered by certain conditions. Batch processing is commonly used for tasks such as payroll processing, data transformation, and report generation. It is efficient for handling repetitive, high-volume data operations while optimizing system resources.

Is batch processing still used?

Batch processing is still used in various industries for handling large volumes of data efficiently, especially in data warehousing, financial transactions, and manufacturing environments. It remains relevant alongside real-time processing, with many organizations integrating both methods based on their needs.
What are popular job titles related to Batch Processing jobs in Texas? For Batch Processing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Batch Processing jobs in Texas look for? The top searched job categories for Batch Processing jobs in Texas are:
What cities in Texas are hiring for Batch Processing jobs? Cities in Texas with the most Batch Processing job openings:
Infographic showing various Batch Processing job openings in Texas as of July 2026, with employment types broken down into 83% Full Time, 9% Part Time, 1% Temporary, 5% Contract, and 2% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $39,413 per year, or $18.9 per hour.
Data Engineer with DevOps

Data Engineer with DevOps

System One

Dallas, TX โ€ข On-site

$52.25 - $71.50/hr

Other

Posted 22 days ago


Job description

Job Title: Senior Data Engineer with DevOps

Duration : Full Time Location : Pittsburgh, PA, Cleveland, OH, or Dallas, TX

Work Mode : 5 Days Onsite Years Of Exp : 8+ Yrs Job Description: We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipeline supporting analytics, reporting, and operational needs. The role involves collaborating with cross functional teams to ensure data alignment with business requirements and enterprise standards. Duties and Responsibilities:

  • Design and build scalable data pipelines aligned with business needs
  • Process large dataset (batch + sometimes near Realtime)
  • Ensure data quality, consistency, and governance standards across systems
  • Support data integration and transformation efforts for analytics and reporting platforms
  • Maintain data dictionaries, metadata, and documentation
  • Participate in data architecture reviews and model validation processes
  • Support analytics reporting and risk platforms.
Required Qualifications
  • 5+ years of experience in data engineering and big data processing
  • Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large scale batch processing
  • Experience working with structured and semi structured data, including complex transformations and performance tuning
  • Proficiency in data ingestion and integration from sources like Oracle, SQL Server, Hive, HDFS, and S3; transform data into โ€˜curated data models'
  • Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
  • Strong knowledge of SQL and data modeling concepts
  • Hands on experience with Apache Airflow for workflow orchestration (DAG design, scheduling expectations, monitoring)
  • Proficiency in shell scripting for job automation, file validation, dependency handling, and logging. Trigger Spark Jobs, perform file checks and validation; Archive & purge data; mange job dependency, logging & error handling
  • Strong understanding of batch processing and batch job scheduling frameworks
  • Experience migrating from CA7/Control M Airflow (daily, hourly, weekly schedules) CI/CD for data pipelines
  • Fundamentals in Linux and Networking
  • Docker, OCP containerization / Kubernetes
  • Knowledge of CI/CD pipeline tools: Tools commonly include Jenkins, GitHub Actions, Azure DevOps, GitLab Cl, Maven, and Gradle
  • Automate operational tasks using Python, Bash/Shell, and PowerShell
  • Implement monitoring and alerting, Application Insights. Enable centralized logging with tools such as ELK.
  • Experience ensuring data quality, reliability, and compliance in regulated environments
  • Good communication and documentation skillsGood communication and collaboration skills in cross-functional teams
  • Agile/Safe methodologies
Must Have Skills
  • Airflow
  • Containerization
  • DevOps
  • Elastic Stack & Elasticsearch
  • GitHub
  • Hadoop Hive
  • Jenkins
  • JSON Web Token (JWT)
  • Kubernetes
  • OpenShift
  • Oracle
  • Python
  • Shell Script
  • SQLite
Ref: #404-IT Pittsburgh