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Data Processing Jobs in McKinney, TX (NOW HIRING)

EIM Senior Data Engineer

Irving, TX · On-site

$109K - $132K/yr

6+ years of experience in Developing and maintaining scalable software applications using Python and PySpark for large-scale data processing and analytics. Design and implement efficient Big Data ...

EIM Senior Data Engineer

Irving, TX · On-site

$109K - $132K/yr

6+ years of experience in Developing and maintaining scalable software applications using Python and PySpark for large-scale data processing and analytics. Design and implement efficient Big Data ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

The ideal candidate will have experience in the banking sector and possess a strong technical background in data engineering, cloud storage, and data processing technologies. Responsibilities : • ...

Data Modeler

Richardson, TX · On-site

$49.75 - $64.50/hr

... processing scripts - Familiarity with big data technologies - Use of data modeling tools (e.g., Erwin, PowerDesigner) - Domain Experience: - Deep understanding of healthcare data (claims, EMR/EHR ...

Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Data Engineer Location : Plano, TX (Onsite - Hybrid, 3 days Onsite/Week) Duration : 24+ Months ... is plus Distributing processing - Knowledge/Exp is good to have Snowflake - Good to have not ...

New

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

The ideal candidate will have expertise in big data processing, ETL pipeline development, and cloud-based data engineering solutions. You will work closely with data analysts, data scientists, and ...

Junior Data Engineer

Plano, TX · On-site

$110K - $132K/yr

Responsibilities : • Design, develop, and maintain scalable ETL/ELT pipelines to process structured and unstructured data • Design, develop, and maintain data pipelines using Snowflake and dbt ...

Data Architect

Dallas, TX

$140/hr

  • Medical

  • Life

  • Retirement

  • PTO

Implement scalable data processing frameworks capable of supporting growing dataset volumes. * Improve indexing and metadata strategies that support dataset search and discovery. * Enable advanced ...

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

Integrate Kafka with Databricks for seamless data processing and analysis. * Optimize Kafka consumers and producers for performance and reliability. * Data Governance and Management (Unity Catalog)

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

JD: Responsibilities: • Understand the current data processing and logic applied across multiple stages of the data flow. • Work on the data issues identified for Business and Technology ...

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ArcGIS, PostGIS, GeoPandas, GDAL/OGR, PDAL, and related geospatial libraries. * Experience working with ...

Showing results 21-40

Data Processing information

See McKinney, TX salary details

$11

$18

$32

How much do data processing jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for data processing in McKinney, TX is $18.81, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $20.77 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 McKinney, TX?

The most popular types of Data Processing jobs in McKinney, TX are:

What are popular job titles related to Data Processing jobs in McKinney, TX?

For Data Processing jobs in McKinney, TX, the most frequently searched job titles are:

What cities near McKinney, TX are hiring for Data Processing jobs?

Cities near McKinney, TX with the most Data Processing job openings:

Infographic showing various Data Processing job openings in McKinney, TX as of August 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,120 per year, or $18.8 per hour.

Senior Data Engineer / Data Architect

BC Forward

Plano, TX • On-site

$77.58 - $82.58/hr

Other

Posted 24 days ago


Job description

Job Title: Senior Data Engineer / Data Architect Location: Plano ,TX Duration: Contract - 8 months Pay Range: $77.58 - $82.58 Job ID: 371932 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Big Data Engineer to join our team. The ideal candidate will have strong experience in Java/J2EE development, Agile delivery, and CI/CD practices and a proven ability to design, build, test, deploy, and maintain secure, resilient applications. Responsibilities: - Design, develop and maintain scalable and large-scale data processing pipelines and infrastructure on the cloud following engineering standards, governance standards and technology best practices - Develop and optimize data models for large-scale datasets, ensuring efficient storage, retrieval, and analytics while maintaining data integrity and quality. - Collaborate with cross-functional teams to translate business requirements into scalable and effective data engineering solutions. - Demonstrate a passion for innovation and continuous improvement in data engineering, proactively identifying opportunities to enhance data infrastructure, data processing and analytics capabilities. Required Skills & Qualifications: - Strong analytical problem solving and critical thinking skills - Proficiency in at least one programming language ( Python, if not Java or Scala) - Proficiency in at least one distributed data processing framework ( Spark or similar) - Proficiency in at least one cloud data Lakehouse platforms (AWS Data lake services or Databricks, alternatively Hadoop), - Proficiency in at least one scheduling/orchestration tools ( Airflow, if not AWS Step Functions or similar) -Proficiency with relational and NoSQL databases. - Proficiency in data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), and big-data storage formats (Parquet, Iceberg, or similar), -Experience working in teams following Agile methodology - Experience with test-driven development (TDD) or behavior-driven development (BDD) practices, as well as working with continuous integration and continuous deployment (CI/CD) tools. Preferred Skills: Experience with cloud platforms and related services. Exposure to test automation and performance engineering. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume or contact: Email: Phone: 317-493-2000