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Big Data Developer Jobs in Pennsylvania (NOW HIRING)

Deloitte

Sr Databricks Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects ...

Deloitte

Sr Databricks Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects ...

CYNET SYSTEMS

Application Developer II

Pittsburgh, PA · On-site

$51 - $60/hr

Experience working in a Big Data environment within GCP. * Experience with Google Cloud Storage ... Data Engineering. * Data Pipeline. * BigQuery. * Python. * Cloud Run. * GCP Security. * Big Data.

Bridgetown Consulting Group Inc

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

... DevOps, and Architecture teams. * Participate in Agile/Scrum ceremonies and production support ... Experience with big data technologies such as Spark, Hadoop, Kafka, Hive, or Sqoop . * Experience ...

Naval Nuclear Laboratory

Data Engineer

West Mifflin, PA · On-site

$95K - $149K/yr

Proficiency in programming languages such as SQL and Python, and experience with big data technologies like Apache Spark or Hadoop. Experience with database management systems, both relational and ...

Naval Nuclear Laboratory

Data Engineer

West Mifflin, PA · On-site

$95K - $149K/yr

Proficiency in programming languages such as SQL and Python, and experience with big data technologies like Apache Spark or Hadoop. * Experience with database management systems, both relational and ...

1 point system

Enterprise Data Architect

Harrisburg, PA · On-site

... 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 ...

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

... 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 ...

Trail Blazer Consulting LLC

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 ...

Anaplan

Principal Data Engineer - AI

Philadelphia, PA · On-site

$136K - $182K/yr

Lead the data architecture, design, and deployment of scalable, high-throughput Big Data systems ... Engineer feature-rich context pipelines that process large-scale enterprise data, balancing batch ...

Saxon Global

Data Scientist

Chesterbrook, PA · On-site

... 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 ...

SmartIPlace

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 ...

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How much do big data developer jobs pay per hour?

As of Sep 6, 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.

More about Big Data Developer jobs

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:

Big Data Developer jobs near you
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.

AWS Technical Labs Developers (Remote)

LearnQuest

Philadelphia, PA • Remote

Full-time

Re-posted 4 days ago

Job description

We are looking for freelance Technical Lab Developers for a full time project work (lasting cca 4 months) to help us build AWS hands-on labs.

The qualified candidate will have experience developing and deploying solutions using cloud-based services, a deep technical knowledge of multiple IT domains, and excellent writing skills. Additionally, the ideal candidate will have training delivery, or training development experience and be able to provide analysis of learning materials from a technical perspective. Software development experience is highly desirable.

Key job responsibilities: 
  • Dive deep into AWS technologies, such as Big Data, Web Applications, Security, Networking, High Performance Computing, Storage, Databases, Enterprise Applications, Migration Strategies or other solutions areas to understand the services and develop effective training for our customers.
  • Develop and maintain a cohesive set of real-world, scenario-based labs to reinforce the learning objectives.
  • Coordinate with the Technical Curriculum Architect to ensure that hands on labs are built for scalability and long-term support.
  • Utilize automated lab and courseware publishing process to manage and deploy content.
  • Work with the Technical Curriculum Architects to provide support and maintenance for the deployed hands-on labs.
  • Determine services and features to be included in course lab exercises, based on intended audience profile, learning objectives, best practices and strategic initiatives.
  • Collaborate with Subject Matter Experts (including Curriculum Developers, Technical Trainers, Support Engineers, Professional Services, and Solutions Architects) to build technically accurate training that meets the learning objectives.
  • A day in the life Every day is a new adventure! You are assigned to work on a specific course or set of courses. The technology you’ll work with will vary based on the course subject matter. Labs often need to have a few resources created before students can begin a lab. You will create templates and scripts to automate the deployment of these resources. You will document the steps required to complete the lab, including explanations. As you build labs for a course, you will collaborate with Technical Architects, Instructional Designers, and Curriculum Developers to ensure the instructional content and the labs are aligned.
Basic qualifications:
  • 1+ years prior experience designing, deploying, and operating internet-scale applications
  • 2+ years domain expertise in one or more of the following: data analytics, machine learning, data platforms, or general cloud technology
  • Demonstrated ability to work cross-functionally with multiple teams and stakeholders
  • Technical degree (e.g. Computer Science) or 2 years' relevant work experience required Current AWS Certification (Associate or Professional level)
  • Knowledge and/or hands-on experience with AWS infrastructure services. Experience designing, developing, and delivering instructional materials for technical content. Domain expertise in one or more of the following: big data, DevOps, security, systems administration, software development, cloud technology
  • Professional experience building systems on Amazon Web Services
  • Excellent command of English (speaking & writing)
  • Willingness to work across time zones.  Many colleagues are based in the USA

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