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

Ascentt

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Develop high-performance data processing solutions using PySpark and distributed computing frameworks * Build, optimize, and manage data platforms on Databricks and/or Snowflake * Write clean ...

Photon

SPARK Data Onboarding Engineer- NJ

Addison, TX · On-site

Design, develop, and test PySpark-based applications to process, transform, and analyze large-scale ... Develop robust error handling and exception management mechanisms to ensure data integrity and ...

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)

Wise Skulls

Big Data Engineer

Dallas, TX · On-site

$51.50 - $68/hr

... and processing systems in an on-premises Big Data environment . Beyond strong individual ... Manage and optimize batch scheduling and job orchestration using enterprise schedulers such as CA7 ...

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 ...

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Showing results 21-40

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

Data Processing Manager information

See Irving, TX salary details

$32K

$48.7K

$63.6K

How much do data processing manager jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data processing manager in Irving, TX is $48,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $58,000.00 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 Irving, TX? The most popular types of Data Processing jobs in Irving, TX are:
What are popular job titles related to Data Processing Manager jobs in Irving, TX? For Data Processing Manager jobs in Irving, TX, the most frequently searched job titles are:
What job categories do people searching Data Processing Manager jobs in Irving, TX look for? The top searched job categories for Data Processing Manager jobs in Irving, TX are:
What cities near Irving, TX are hiring for Data Processing Manager jobs? Cities near Irving, TX with the most Data Processing Manager job openings:
Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Irving, 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 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $48,735 per year, or $23.4 per hour.

Data Engineer

Ascentt

Plano, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 28 days ago

Job description

Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and building next-generation data platforms, Ascentt offers an exciting opportunity to create real-world impact at scale.
We are looking for a passionate and highly motivated Data Engineer to join our growing data team. In this role, you will work on building scalable data platforms, optimizing large-scale data pipelines, and enabling data-driven decision-making across the organization. You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop modern cloud-based data solutions using technologies such as Databricks, Snowflake, PySpark, SQL, and Python. If you enjoy solving complex data challenges and working in a fast-paced, innovative environment, we'd love to connect with you.
Key Responsibilities:
  • Design, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured data
  • Develop high-performance data processing solutions using PySpark and distributed computing frameworks
  • Build, optimize, and manage data platforms on Databricks and/or Snowflake
  • Write clean, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analytics
  • Collaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutions
  • Ensure data quality, governance, integrity, scalability, and reliability across enterprise data systems
  • Monitor, troubleshoot, and optimize existing pipelines, workflows, and database performance
  • Implement best practices around coding standards, testing, CI/CD, version control, and technical documentation

Required Skills & Qualifications:
  • 2-5 years of experience in Data Engineering or related roles
  • Strong hands-on experience with Databricks and/or Snowflake
  • Proficiency in SQL and Python programming
  • Practical experience with PySpark and distributed data processing
  • Solid understanding of Data Warehousing, ETL/ELT concepts, and Data Modeling
  • Experience working with large-scale datasets in cloud-based environments
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field

Preferred Skills:
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Familiarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)
  • Knowledge of Git, CI/CD pipelines, and DevOps best practices
  • Exposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processing
  • Experience working in Agile/Scrum environments is a plus

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