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Big Data Developer Jobs in Pennsylvania (NOW HIRING)

AWS Data Migration Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

... using Big Data Platform (Databricks, Glue, EMR, Step-functions, Lambda, PySpark and other AWS ... Experience on Big Data Technologies, Hadoop Eco system and Technologies with experience programming ...

Data Architect - Harrisbrug PA

Harrisburg, PA · On-site

$63 - $81/hr

... engineering, or advanced database design, modeling experience in designing or implementing data warehouse * experience with data platforms such as Snowflake, Databricks, MongoDB and big data on cloud ...

... engineering, or advanced database design, modeling experience in designing or implementing data warehou Required 8 Years experience with data platforms such as Snowflake, Databricks, MongoDB and big ...

Data Architect

Harrisburg, PA · On-site

$63 - $81/hr

... engineering, or advanced database design, modeling experience in designing or implementing data warehou Required xperience with data platforms such as Snowflake, Databricks, MongoDB and big data on ...

... big data (e.g., telecom network data, high-volume transactions). - Ensure high data quality ... teams (e.g., data engineers, product managers). Mandatory Skills: - SQL, Python, Tableau ...

Data Modeler

Malvern, PA · On-site

$53.75 - $69.75/hr

Partner with business stakeholders, data engineers, solution architects, and technical teams to ... Develop and optimize data models across relational databases, cloud platforms, and big data ...

New

Data Modeler

Malvern, PA · On-site

$53.75 - $69.75/hr

... engineers, solution architects, and technical teams to translate complex financial domain ... and big data environments such as Snowflake, SQL Server, AWS, and Azure. • Ensure data models ...

New

... engineering solution services from past 16 years. Saxon global specializes in Business Intelligence, Mobility, Big Data & Cloud and provides IT tools and services to help organizations across ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake ...

Showing results 21-40

Big Data Developer information

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$18

$59

$78

How much do big data developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for big data developer in Pennsylvania is $59.13, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $66.25 per hour, depending on experience, location, and employer.

What is a big data developer?

A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.

What is a big data developer?

A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.

What are the key skills and qualifications needed to thrive as a big data developer, and why are they important?

To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.

What are some common challenges big data developers face when integrating new data sources into existing pipelines?

A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.

What is the difference between Big Data Developer vs Data Engineer?

AspectBig Data DeveloperData Engineer
Primary FocusDesigning and developing big data applications and solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsHadoop, Spark, Java, Scala, SQLETL, cloud platforms, scripting, database management
Work EnvironmentData teams, software development projectsData infrastructure, cloud environments, data warehouses
Industry UsageTech, finance, healthcare, retailTech, finance, telecom, e-commerce

While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Big Data Developer jobs in Pennsylvania?

For Big Data Developer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Big Data Developer jobs in Pennsylvania look for?

The top searched job categories for Big Data Developer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Big Data Developer jobs?

Cities in Pennsylvania with the most Big Data Developer job openings:

What are popular job titles related to Big Data Developer jobs in PA?

For Big Data Developer jobs in PA, the most frequently searched job titles are:

Infographic showing various Big Data Developer job openings in Pennsylvania as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 83% In-person, and 17% Hybrid job distribution, with an average salary of $123,000 per year, or $59.1 per hour.

Software Engineer I, MLOps (Python/Big Data)

PNC Financial Services Group, Inc.

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 Overview
At 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 Skills
Application Development, Business Management, Customer Solutions, Design, Group Problem Solving, Process Improvements, Release Management, Software Solutions, User Experience (UX) Design
Competencies
Application Design, Architecture, Application Development Tools, Application Maintenance, Application Testing, Packaged Application Integration, System Development Life Cycle, Technical Troubleshooting, Technical Writing/Documentation
Work Experience
Roles 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.
Education
Bachelors
Certifications
No Required Certification(s)
Licenses
No Required License(s)
Pay Transparency
Base Salary: $75,000.00 - $150,000.00
Salaries 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 Window
Generally, this opening is expected to be posted for two business days from 08/03/2026, although it may be longer with business discretion.
Benefits
PNC 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, visit pncthrive.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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