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Data Processing Jobs in Texas (NOW HIRING)

Tek Ninjas

GCP Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

* Design and implement data pipelines on Google Cloud Platform to support data processing and analytics * Optimize and monitor data pipelines for performance and reliability * Collaborate with data ...

Purple Drive Technologies

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Design, develop, and maintain scalable ETL/ELT pipelines to support data processing and analytics. Automate data ingestion and transformation workflows using APIs, scripting, and orchestration tools.

EXL

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Responsibilities include developing data processing workflows, optimizing data storage, and ensuring data accuracy. You will collaborate with data scientists and analysts to meet data requirements ...

InterSources

Data Engineer

Irving, TX · Hybrid

$109K - $132K/yr

Experience with big data processing and distributed computing systems like Spark. * Implement ETL pipelines and data transformation processes. * Ensure data quality and integrity in all data ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

JD: • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks and Delta Lake ...

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

Futran Tech Solutions Pvt. Ltd.

Data Engineer

Dallas, TX

$113K - $136K/yr

Job Title • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks and Delta ...

Qode

Data Engineer

Irving, TX

$109K - $132K/yr

Design, develop, and maintain scalable data pipelines and ETL processes * Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing * Optimize database performance ...

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All JobsData Processing JobsData Processing Jobs in Texas

Data Processing information

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$11

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How much do data processing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for data processing in Texas is $18.88, according to ZipRecruiter salary data. Most workers in this role earn between $15.00 and $20.82 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 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 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.

What job makes $10,000 a month without a degree?

In data processing, high-paying roles such as data analysts or data engineers can earn around $10,000 per month, especially with specialized skills in programming, database management, and data analysis tools. These positions often require experience and proficiency in software like SQL, Python, or cloud platforms, but may not always require a formal degree if skills are demonstrated through certifications or a strong portfolio.
What are the most commonly searched types of Data Processing jobs in Texas? The most popular types of Data Processing jobs in Texas are:
What are popular job titles related to Data Processing jobs in Texas? For Data Processing jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Texas look for? The top searched job categories for Data Processing jobs in Texas are:
What cities in Texas are hiring for Data Processing jobs? Cities in Texas with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Texas as of May 2026, with employment types broken down into 50% Part Time, and 50% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,272 per year, or $18.9 per hour.
Data Engineer - IAM

Data Engineer - IAM

Strategic Staffing Solutions

Irving, TX

$109K - $132K/yr

Other

Posted 4 days ago

Job description

Job Description Data Engineer - IAM Data Lake (Google Cloud Platform) Location: Irving, TX (Preferred) or Ohio (Hybrid) Duration: 12 Month Contract W2 ONLY, NO C2C Overview We are seeking a skilled Data Engineer to support the design, development, and enhancement of an enterprise IAM Data Lake platform within Google Cloud Platform (GCP). This role will focus on building scalable data lake solutions, developing data ingestion pipelines, and supporting large-scale data processing initiatives using modern cloud and big data technologies. The ideal candidate will have hands-on experience with Google Cloud Platform, data lake architectures, big data processing frameworks, and Hadoop-based environments.

Experience with Hadoop/HDFS and cloud-native data engineering solutions is highly desirable. Key Responsibilities Design, build, and maintain scalable Data Lake solutions within Google Cloud Platform (GCP). Develop and support batch and streaming data ingestion pipelines using GCP-native services and big data technologies.

Build and optimize data processing workflows to support enterprise-scale analytics and reporting requirements. Design and implement data models, ingestion frameworks, and data transformation processes. Develop and maintain PySpark-based data processing applications.

Utilize Apache Airflow to orchestrate and manage complex data workflows. Implement and maintain CI/CD pipelines to support automated deployment and delivery of data engineering solutions. Design and manage Pub/Sub-based streaming architectures and event-driven data processing workflows.

Support event schema design, schema evolution, and versioning best practices. Implement incremental data ingestion strategies and Change Data Capture (CDC) patterns. Develop APIs and integration solutions to support data consumption and data-sharing requirements.

Create and maintain curated datasets, analytical views, and data exposure layers for downstream consumers. Collaborate with architecture, engineering, security, and business teams to ensure data solutions align with enterprise standards. Required Qualifications 4+ years of experience working with Google Cloud Platform (GCP).

4+ years of experience building and supporting large-scale data processing solutions. 4+ years of experience with PySpark and distributed data processing. 4+ years of experience implementing CI/CD practices and deployment automation.

2+ years of experience building and maintaining data pipelines. 2+ years of experience with Apache Airflow. Experience developing and integrating APIs.

Experience working with data lake architectures and cloud-based storage solutions. Understanding of data modeling concepts and best practices. Strong understanding of data processing frameworks and big data technologies.

Preferred Qualifications Experience with Hadoop Ecosystem technologies and HDFS. Experience designing and implementing streaming architectures using Google Pub/Sub. Familiarity with Change Data Capture (CDC) methodologies and incremental ingestion frameworks.

Experience building enterprise-scale IAM or security-related data platforms. Knowledge of data governance, lifecycle management, and access control best practices within GCP. Experience supporting analytical data platforms and data consumption frameworks.

Technical Skills Cloud & Data Platforms Google Cloud Platform (GCP) Google Cloud Storage (GCS) Pub/Sub Data Lake Architecture Data Engineering & Processing PySpark Apache Airflow Data Pipelines Data Processing Data Modeling Change Data Capture (CDC) Big Data Technologies Hadoop Ecosystem HDFS Data Formats Parquet Avro ORC Development & Automation APIs CI/CD Pipelines Version Control Automation Frameworks

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