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Big Data Developer Jobs in Pennsylvania (NOW HIRING)

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 ...

Entarian

Data Engineer

Mechanicsburg, PA · Remote

$125K - $150K/yr

Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, RabbitMQ, etc. * Demonstrated experience in network and cyber security design, engineering and operations with ...

PAR Technology

$130K - $144K/yr

We are seeking a Senior Data Engineer to join our team and help us build the next generation of ... Big Data Technologies : Spark, Databricks, Structured Streaming * Databases: Relational (Postgres ...

UPMC Enterprises

Data Engineer, Senior

Pittsburgh, PA · On-site

$102K - $139K/yr

Build relationships across the One-Enterprises organization, developing awareness of big picture ... Data Engineering team and across the broader UPMC Enterprises team. * Objectively assess and sign ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

kWantera

Energy Data Analyst

Pittsburgh, PA · On-site

The ideal candidate is experienced and comfortable with analyzing big data and crunching numbers, is familiar with the electricity wholesale markets in the US, and has programming background ...

BakerHostetler

Data Solutions Engineer

Philadelphia, PA · On-site

$109K - $131K/yr

... big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and ... Apps, Azure DevOps, Power Automate, REST API • Familiarity with Azure OpenAI and Document ...

CGI Inc.

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Bachelors degree in Computer Science or related field . 4+ years of experience in data engineering and big data processing . 3+ years of experience in building Spark Streaming and Kafka streaming

Audacy, Inc.

Senior Data Engineer

Philadelphia, PA · On-site

$107K - $145K/yr

... big data on the magnitude of billions of rows to unlock insights, enhance decision-making, and ... Lead and mentor other data engineers to follow the team's evolving data engineering standards and ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Python/Spark Developer Must Have Technical/Functional Skills * Strong hands-on experience with Apache Spark and PySpark. * Experience with Big Data ecosystems such as Hadoop, Hive, HDFS, and Kafka.

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Big Data Developer information

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$18

$59

$78

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.

Sr Data Engineer

SmartIPlace

Blue Bell, PA • On-site

$109K - $131K/yr

Contractor

Re-posted 28 days ago

Job description

Hi,

I hope you are doing well.

Please find the job details below:

Job Title: Sr Data Engineer 
Location: Blue Bell, PA

Requirement
Healthcare, Medical & Pharmacy Claims Experience.
The ideal candidate will be responsible for troubleshooting data issues, backend support UI development, which includes but is not limited to managing data implementations, data integrations, data production, data quality, and data security.
Responsibilities:
Create, maintain and execute complex SQL queries for data management and data validation.
Demonstrates subject matter expertise in relation to data mapping, transformations, validations, and ingestion workflows. Monitor data workflows and ensure data quality, consistency, and reliability.
Design and implement scalable and secure data architectures to support new and existing applications.
Perform production solutions and services configurations as needed.
Serve as a change agent to identify organizational improvements and make recommendations to improve business processes. Collaborate with cross-functional teams including technical product owners, analysts, and software engineers.
Create and maintain SOP documents. Participate in code reviews, sprint planning, and architectural discussions.
Mentor junior engineers and promote best practices in data engineering.
Participate in meetings with clients and/or stakeholders.
Completes work as assigned.
Provide after-hours or weekend support as needed. Demonstrate an ability to work independently.
Adhere to all the industry level and organization level compliance rules and regulations to maintain data integrity.
Complete task assignments using department ticketing/productivity systems within assigned deadline.
Achieve organizational and individual goals as identified in performance reviews and goal setting exercises.
This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required.
This job description does not constitute an employment agreement and is subject to change as the needs of Cotiviti and requirements of the job change.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology or equivalent work experience.
8+ years of experience in data engineering or a related role. 8+ years of data analysis.
Preferably in the Healthcare industry of enrollment, medical claims and/or pharmacy claims.
8+ years hands-on work in SQL and/or PL/SQL. Familiarity designing, implementing, and optimizing data models in NoSQL databases (e.g., MongoDB, Cassandra, neo4j) to support high-volume, low-latency workloads.
Working knowledge of big data/cloud technologies (Databricks, AWS, Azure, Hadoop, Spark, Snowflake etc.) is preferred. Expertise in Microsoft Office Suite applications PowerPoint, Word, Excel and Outlook.
Flexible work schedule.
Experience with project management tools like JIRA.
Strong understanding of agile development practices, preferably SAFe. Strong analytical skills. Excellent verbal, listening and written communication skills.
Cognitive/Mental Requirements:
Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times.
Ability to work well independently or in a team environment.
Communicating with others to exchange information.
Assessing the accuracy, neatness and thoroughness of the work assigned.
Working Conditions and Physical Requirements: Remaining in a stationary position, often standing or sitting for prolonged periods. Repeating motions that may include the wrists, hands, and/or fingers.
No adverse environmental conditions expected.
Must be able to provide a dedicated, secure work area.
Must be able to provide high-speed internet access / connectivity and office setup and maintenance.
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About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media

Facebook

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