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Data Processing Manager Jobs in Frisco, TX (NOW HIRING)

Pwc

Data Engineer - Manager

Fort Worth, TX · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

Pwc

Data Engineer - Manager

Dallas, TX · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... data processing and analysis. You will be responsible for developing and implementing data ...

eFulgent

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 ... management skills - Certifications: Not required - Interview: No face-to-face required

Sarian, Inc.

Sr. Pyspark Data Engineer

Irving, TX · On-site

$109K - $132K/yr

Deploy and manage data workflows in cloud platforms (AWS, Azure, GCP). * Utilize SQL and NoSQL databases for data storage and retrieval. * Automate data ingestion and transformation processes. * Work ...

Artius Solutions

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)

Forward Air

Manager, Data and Analytics

Coppell, TX · On-site

... processes * Lead, mentor, and develop a team of Data Engineers and Analytics Engineers, fostering a ... Manage team capacity, prioritize workloads, and allocate resources across concurrent initiatives ...

Techvilla Solutions

Data Scientist

Dallas, TX

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Techvilla Solutions

Data Scientist

Highland Park, TX · On-site

Strong expertise in geospatial analytics and LiDAR data processing. * Hands-on experience with ... Excellent analytical, communication, and stakeholder management skills. Roles & Responsibilities

Vytwo

Data Scientist - INDIA

Prosper, TX · On-site

This role requires strong expertise in Big Data processing, modern ML tools, and the ability to ... Context engineering (retrieval pipelines, RAG, memory management, context structuring). * Knowledge ...

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Showing results 21-40

All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Frisco, TX

Data Processing Manager information

See Frisco, TX salary details

$32.3K

$49.1K

$64.1K

How much do data processing manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data processing manager in Frisco, TX is $49,136.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $58,500.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What are the key skills and qualifications needed to thrive as a data processing manager?

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, problem-solving skills, and knowledge of data security are essential for this role.

What are the most commonly searched types of Data Processing jobs in Frisco, TX?

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

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

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

What job categories do people searching Data Processing Manager jobs in Frisco, TX look for?

The top searched job categories for Data Processing Manager jobs in Frisco, TX are:

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

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

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Frisco, TX as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 20% Part Time, and 11% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $49,136 per year, or $23.6 per hour.

SPARK Data Onboarding Engineer- Jersey City

Photon

Addison, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 26 days ago

Job description


Job Title: PySpark Data Engineer
Summary:
We are seeking a skilled PySpark Data Engineer to join our team and drive the development of robust data processing and transformation solutions within our data platform. You will be responsible for designing, implementing, and maintaining PySpark-based applications to handle complex data processing tasks, ensure data quality, and integrate with diverse data sources. The ideal candidate possesses strong PySpark development skills, experience with big data technologies, and the ability to work in a fast-paced, data-driven environment.
Key Responsibilities: Data Engineering Development:
  • Design, develop, and test PySpark-based applications to process, transform, and analyze large-scale datasets from various sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
  • Implement efficient data transformation and aggregation using PySpark and relevant big data frameworks.
  • Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience within Spark jobs.
  • Optimize PySpark jobs for performance, including partitioning, caching, and tuning of Spark configurations.

Data Analysis and Transformation:
  • Collaborate with data analysts, data scientists, and data architects to understand data processing requirements and deliver high-quality data solutions.
  • Analyze and interpret data structures, formats, and relationships to implement effective data transformations using PySpark.
  • Work with distributed datasets in Spark, ensuring optimal performance for large-scale data processing and analytics.

Data Integration and ETL:
  • Design and implement ETL (Extract, Transform, Load) processes to ingest and integrate data from various sources, ensuring consistency, accuracy, and performance.
  • Integrate PySpark applications with data sources such as SQL databases, NoSQL databases, data lakes, and streaming platforms

Qualifications and Skills:
  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
  • Strong understanding of data processing principles, techniques, and best practices in a big data environment.
  • Proficiency in PySpark, Apache Spark, and related big data technologies for data processing, analysis, and integration.
  • Experience with ETL development and data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills to work effectively with data analysts, data architects, and other team members.

Compensation, Benefits and Duration
Minimum Compensation: USD 43,000
Maximum Compensation: USD 151,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post

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