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Java Data Engineer Jobs in Pittsburgh, PA (NOW HIRING)

UPMC Enterprises

Data Engineer, Senior

Pittsburgh, PA

$102K - $139K/yr

Senior Data Engineers develop custom end-to-end integration solutions for large data sets of ... Demonstrate proficiency in integration tools, ETL concepts, Java, Python, Spark, Kubernetes, OMOP ...

Staffingine LLC

Java Support Engineer

Pittsburgh, PA · On-site

Performance Optimization Analyze application data tune system performance and modernize refactor underperforming software * Required Technical Skills * Languages Strong Java programming skills

Virtusa Corporation

Senior Java Developer

Pittsburgh, PA · On-site

$55.50 - $70.75/hr

Java API Developer Lead with extensive experience designing and delivering high-performance backend ... Processing, High-Volume Data Processing, Kafka, IBM MQ, Messaging Systems, Event-Driven ...

Virtusa

Senior Java Developer

Pittsburgh, PA · On-site

$55.50 - $70.75/hr

Java API Developer Lead with extensive experience designing and delivering high-performance backend ... Processing, High-Volume Data Processing, Kafka, IBM MQ, Messaging Systems, Event-Driven ...

Synechron

Lead Java Developer

Pittsburgh, PA · On-site

$110K - $120K/yr

Work with Kafka for event-driven architecture, stream processing, and real-time data ingestion ... Science, Engineering, or related field. * Strong professional experience in Java full stack ...

Synechron

Lead Java Developer

Pittsburgh, PA

$110K - $120K/yr

Work with Kafka for event-driven architecture, stream processing, and real-time data ingestion ... Science, Engineering, or related field. * Strong professional experience in Java full stack ...

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All JobsJava Data Engineer JobsJava Data Engineer Jobs in Pittsburgh, PA

Java Data Engineer information

See Pittsburgh, PA salary details

$25

$58

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How much do java data engineer jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for java data engineer in Pittsburgh, PA is $58.66, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.30 per hour, depending on experience, location, and employer.

What is a Java data engineer?

A Java Data Engineer is a technology professional who designs, develops, and maintains data processing systems using Java programming language. They work with large datasets, build data pipelines, and ensure the efficient movement, transformation, and storage of data. Java Data Engineers often collaborate with data scientists, analysts, and other engineers to support data-driven decision-making in organizations. Their expertise typically includes Java, SQL, big data technologies like Hadoop or Spark, and cloud platforms. They play a crucial role in enabling reliable and scalable data infrastructure for businesses.

What are the key skills and qualifications needed to thrive as a Java data engineer?

To thrive as a Java Data Engineer, you need strong programming skills in Java, a solid understanding of data structures, SQL, and experience with big data frameworks, often supported by a degree in computer science or a related field. Familiarity with data processing tools like Apache Spark, Hadoop, Kafka, and experience with cloud data platforms (e.g., AWS, GCP) or relevant certifications are typically required. Analytical thinking, problem-solving ability, and effective communication are crucial soft skills for collaborating with teams and interpreting data requirements. These capabilities are essential for building reliable, scalable data solutions that support business intelligence and analytics needs.

What are the most common challenges faced by Java data engineers when working with large-scale data pipelines?

Java Data Engineers often encounter challenges with optimizing the performance and scalability of data pipelines, especially as data volumes grow. They must ensure data integrity and consistency while managing distributed systems and integrating with various data sources. Debugging issues in real-time data processing and maintaining efficient, fault-tolerant code are also key hurdles. Collaborating closely with data scientists, database administrators, and DevOps teams is essential to overcome these challenges and deliver reliable data solutions.

What is the difference between Java Data Engineer vs Python Data Engineer?

AspectJava Data EngineerPython Data Engineer
Required CredentialsBachelor's in Computer Science, Java certificationsBachelor's in Computer Science, Python certifications
Work EnvironmentBig data platforms, Java-based toolsData analysis, scripting, Python-based tools
Employer & Industry UsageFinancial services, enterprise systemsTech startups, data science projects
Common Search & ComparisonYesYes

Java Data Engineers and Python Data Engineers often share similar roles in data processing and engineering. The main difference lies in the programming languages used: Java is common in large-scale enterprise environments, while Python is favored for data analysis and scripting. Both roles require strong programming skills, but their toolsets and typical applications differ based on industry needs.

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

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

What job categories do people searching Java Data Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Java Data Engineer jobs in Pittsburgh, PA are:

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

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

Java Data Engineer jobs near you
Infographic showing various Java Data Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 38% Full Time, and 62% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $122,013 per year, or $58.7 per hour.

Data Engineer, Senior

UPMC Senior Communities

Pittsburgh, PA • On-site

$54.32 - $88.32/hr

Full-time

Posted 11 days ago

Job description

Purpose:
Senior Data Engineers develop custom end-to-end integration solutions for large data sets of diverse and complex healthcare data. Implementations include test driven development, SDLC standards and scrum principles. The team has set a high standard for quality. Deliveries require accuracy, performance stability, security, robust monitoring, alerting and pipeline uptime requirements. They will work closely with various business, technical and possibly clinical professionals daily. Additional responsibilities may include product support and ongoing data maintenance responsibilities. This position will be required to manage multiple projects and to prioritize work and have excellent written and verbal communication skills.
Please note that this position is in-office three days per week.
Must be legally authorized to work in the United States, without requiring, now or in the future, sponsorship for employment visa status. UPMC does not offer any type of sponsorship (H-1B, permanent residence, etc. ) UPMC does not participate in STEM OPT.
Responsibilities:
  • Deliver complex end-to-end integration solutions that follow Data Engineering best practices and leverage test driven development and standard SDLC best practices.
  • Execute solutions using the appropriate Data Engineering Design, Development and Delivery processes.
  • Perform as a role model for other team members following integration policies and procedures.
  • Create infrastructure diagrams for project specific integrations.
  • Create appropriate monitoring, alerting and error messaging to integrate with various tools in accordance with Data Engineering standard practices.
  • Work independently on complex projects managing multiple user stories and own and work on stories through each of the scrum stage gates effectively.
  • Represent Data Engineering team in vendor and client discussions to refine requirements, discover data sources, drive design decisions, adhere to standards, and obtain necessary accesses to achieve accurate data representation.
  • Work cooperatively and constructively with many teams and roles within the organizations, while independently representing the Data team as an SME.
  • Write and maintain technical implementation and support documentation for integrations.
  • Document, troubleshoot, and appropriately address production issues with the customer and effectively communicate with the team and other stakeholders.
  • Manage tasks and timelines related to assigned work. Escalate risks and delays timely and effectively to the team Lead.
  • Demonstrate the ability to create and deliver clear, concise, and effective written and oral communications.
  • Complete projects, tasks, and initiatives by embracing a "team-first" approach. Work in collaboration with team and offer feedback, where appropriate, to support individual and group efforts. Show the ability to adjust and be flexible to change by adapting approaches when necessary.
  • Responsible for continuous self-study, training, and/or seek opportunities to broaden scope and to stay up to date with industry and organizational trends. Seek feedback from team members for development and effectively incorporate feedback into work and behaviors.
  • Build relationships across the One-Enterprises organization, developing awareness of big picture business drivers and customers' needs to help align work and accelerate value delivery.
  • Assist in the education and coaching of members both within the Data Engineering team and across the broader UPMC Enterprises team.
  • Objectively assess and sign-off on teammates work according to team standards and processes.

Qualifications:
  • Bachelor's degree in a field like mathematics, statistics, economics, finance, computer science, or another relevant field preferred.
  • Typically has 7+ years of relevant experience or equivalent combination of education and experience.
  • Technical writing skills
  • Demonstrate proficiency in integration tools, ETL concepts, Java, Python, Spark, Kubernetes, OMOP CDM, Microsoft Fabric, AWS tools such as Lambda Functions, S3, AWS Glue
  • Advanced analytical and problem-solving skills
  • Ability to set and meet deadlines for complex projects
  • Ability to work in high-pressure situations
  • Reporting and data visualization skills
  • Excellent attention to detail
  • Proficiency in healthcare IT data or systems is required
  • Experience with modern, scalable big-data architecture is preferred
  • Experience with modern AI development workflows and accelerators are preferred
  • Experience with clinical data formats and exchange protocols such as HL7, CDA, CCDA and FHIR are strongly preferred

Licensure, Certifications, and Clearances:
UPMC is an Equal Opportunity Employer/Disability/Veteran

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