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Data Processing Jobs in Pittsburgh, PA (NOW HIRING)

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

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

Pittsburgh, PA · On-site

$107K - $128K/yr

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 Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Python proficiency is a strong plus for custom operators and advanced data processing. * Governance: Solid understanding of data governance, metadata management, security, and compliance in cloud ...

Data Architect

Pittsburgh, PA · On-site

$62 - $79.50/hr

Python proficiency is a strong plus for custom operators and advanced data processing. * Governance: Solid understanding of data governance, metadata management, security, and compliance in cloud ...

Design, build, and optimize batch and real-time data pipelines for ingesting, processing, transforming, and delivering large volumes of structured and unstructured data. . Develop Spark applications ...

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Design, build, and optimize batch and real-time data pipelines for ingesting, processing, transforming, and delivering large volumes of structured and unstructured data. . Develop Spark applications ...

Showing results 21-40

Data Processing information

See Pittsburgh, PA salary details

$11

$19

$33

How much do data processing jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data processing in Pittsburgh, PA is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $21.68 per hour, depending on experience, location, and employer.

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 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 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 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 do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.

What are the most commonly searched types of Data Processing jobs in Pittsburgh, PA?

The most popular types of Data Processing jobs in Pittsburgh, PA are:

What are popular job titles related to Data Processing jobs in Pittsburgh, PA?

For Data Processing jobs in Pittsburgh, PA, the most frequently searched job titles are:

What cities near Pittsburgh, PA are hiring for Data Processing jobs?

Cities near Pittsburgh, PA with the most Data Processing job openings:

Infographic showing various Data Processing job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,923 per year, or $19.7 per hour.

Software Engineer I, MLOps (Python/Big Data)

PNC Bank

Pittsburgh, PA • On-site

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 345 frontline employees who took The Breakroom Quiz

91st of 171 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Software Engineer within PNC's Models Operationalization/MLOps organization, you will be based in Pittsburgh, PA or Cleveland, OH.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description

As a Software Engineer I within our Models Operationalization (MLOps) organization, you will be part of a team responsible for building and supporting the production frameworks, pipelines, and platforms that enable machine learning solutions to operate reliably and efficiently at enterprise scale.

This role focuses on the operational side of machine learning rather than model development. You will partner closely with software engineers, data engineers, data scientists, and platform teams to build scalable data processing solutions, support production ML workflows, and improve the performance, reliability, and automation of enterprise machine learning systems.

This is an excellent opportunity for an engineer with strong Python and big data experience who enjoys solving technical problems, optimizing large-scale systems, and supporting critical production environments.

Key Responsibilities

  • Develop, test, deploy, and support software solutions for machine learning production environments.

  • Build and maintain large-scale data pipelines and processing frameworks.

  • Optimize ML workflows, performance, scalability, and reliability.

  • Troubleshoot and resolve production issues.

  • Partner with data science, engineering, and platform teams to operationalize machine learning solutions.

  • Create and maintain technical documentation.

  • Participate in on-call support and production deployments.

Required Qualifications

  • Bachelor's degree and 2+ years of relevant experience, or in lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.

  • Strong Python development experience.

  • Experience with Pandas, PySpark, PyArrow, and Hadoop.

  • Experience building and supporting large-scale data processing solutions and data pipelines.

  • Experience with MLOps and production support environments.

  • Experience with performance tuning and optimization.

  • Strong problem-solving and troubleshooting skills.

Preferred Qualifications

  • Experience with Kafka, Spark Streaming, or SLURM.

  • Experience with model lifecycle management.

  • Experience with cloud-based MLOps platforms, including AWS SageMaker.

  • Experience in financial services or other highly regulated environments.

Additional Information

  • Weekend on-call rotation approximately once per month.

  • Monthly production deployments that may begin after 10:00 PM EST and extend through the weekend.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.

  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.

Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsApplication Development, Business Management, Customer Solutions, Design, Group Problem Solving, Process Improvements, Release Management, Software Solutions, User Experience (UX) DesignCompetenciesApplication Design, Architecture, Application Development Tools, Application Maintenance, Application Testing, Packaged Application Integration, System Development Life Cycle, Technical Troubleshooting, Technical Writing/DocumentationWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $75,000.00 - $150,000.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 08/03/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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