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

Triunity Software

Junior Java Developer

Saxonburg, PA · On-site

$80K - $120K/yr

Training & development Role:- Jr Java Developer Location:- Toronto Canada Candidates with career ... Understanding of data architecture. * Ability to clearly and concisely document architectural ...

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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

$82

How much do java data engineer jobs pay per hour?

As of Sep 8, 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 Platform & Integration Engineer

Pittsburgh, PA • On-site, Remote

McNees Wallace & Nurick LLC
See more jobs at McNees Wallace & Nurick LLCexternal

Full-time

Re-posted 4 days ago

Key responsibilities

  • Own the design, implementation, and management of the firm's enterprise data warehouse using Snowflake.

  • Design, develop, and maintain scalable ELT/ETL pipelines and data models to support reporting and analytics.

  • Lead the adoption and management of MuleSoft for enterprise application integration, including API design and lifecycle management.

Job description

Joining McNees Wallace & Nurick LLC means becoming part of a team that values your voice, your growth, and your impact on clients, colleagues, and the communities we serve. Since 1935, McNees has been a trusted, client-focused law firm delivering practical, results-driven legal solutions with integrity and a client-first philosophy. We are a full-service firm with more than 170 attorneys and 350 professionals, committed to excellence across a wide range of practice areas and industries.

At McNees, we are guided by our core values of authentic relationships, excellence, growth, and balance to foster collaboration and innovation. We support your success through mentorship, leadership development, and continuous learning opportunities. Our commitment to community runs deep, with a strong tradition of stewardship through pro bono work, charitable initiatives, and civic engagement. We also prioritize flexibility and well-being with a family-focused culture, reasonable revenue hour expectations, and technology that drives efficiency.

If you're looking for an opportunity to do meaningful work with people who value integrity and collaboration, you'll feel at home at McNees.

McNees, Wallace & Nurick is actively seeking a Data Platform & Integration Engineer to join our Information Technology department. At McNees, we believe our people are our greatest asset. We foster a culture of integrity, innovation, and collaboration where your ideas matter, and your contributions make a real impact.

The Data Platform & Integration Engineer is responsible for building the firm's modern data warehouse and integration platform from the ground up. Reporting to the Manager, Enterprise Applications, this individual will own the design, implementation, and ongoing management of Snowflake as the enterprise data warehouse and MuleSoft as the enterprise integration platform while establishing the firm's overall data platform, governance, and lineage strategy.

Responsibilities
  • Own the firm's enterprise data platform and data lineage strategy, including cataloging and lineage tracking across Snowflake and MuleSoft-connected systems. 
  • Design, build, and manage the Snowflake data warehouse, including account structure, warehouse architecture, and role-based access controls. 
  • Develop scalable ELT/ETL pipelines and data models using Snowpipe, Streams and Tasks, dbt, and related technologies to support reporting and analytics needs. 
  • Establish Snowflake security, governance, data masking, performance tuning, and cost optimization practices.
  • Lead the adoption and implementation of MuleSoft, designing APIs and integration flows that connect the firm's critical business applications. 
  • Define enterprise integration architecture standards and manage the full lifecycle of integrations, from design and development through deployment, monitoring, and support. 
  • Develop and enforce data governance policies while monitoring data quality, security, and reliability across the organization.
  • Maintain documentation for data architecture, integrations, mappings, and lineage to support operational and audit requirements. 
  • Serve as the firm's subject matter expert for data platform and integration architecture, partnering with stakeholders and leadership to translate business requirements into scalable technical solutions. 
  • Own the technology roadmap for continued platform maturity and evaluate emerging technologies to support future growth. 
  • Support enterprise applications, reporting, dashboards, analytics initiatives, and firmwide technology projects. 
  • Troubleshoot and resolve platform and integration issues while serving as the primary escalation point for related technologies. 
Requirements
  • Bachelor's degree in Information Technology, Information Systems, Computer Science, or a related field, or equivalent practical experience. 
  • 8+ years of experience in data engineering, systems integration, platform development, or related disciplines, including experience building enterprise data and integration environments from the ground up. 
  • Strong proficiency in SQL and at least one programming or scripting language such as Python, Java, or DataWeave. 
  • Demonstrated experience designing and implementing ETL/ELT pipelines, enterprise data models, and cloud-based data warehouse solutions. 
  • Hands-on experience with Snowflake or comparable cloud data warehouse platforms such as Databricks, Redshift, or BigQuery, including administration, performance tuning, and role-based security.
  • Experience with enterprise integration or iPaaS platforms, ideally MuleSoft, including API design and development using REST, SOAP, and RAML/OAS specifications. 
  • Strong understanding of API-led connectivity, reusable API design, integration architecture patterns, and application networks. 
  • Experience with data governance, metadata management, data quality, data cataloging, and data lineage tools such as Snowflake Horizon Catalog, Atlan, Collibra, or Alation. 
  • Familiarity with CI/CD pipelines, Infrastructure as Code, event-driven architecture, and messaging technologies such as Apache Kafka. 
  • Proven ability to independently lead technology initiatives from requirements gathering through architecture, implementation, deployment, and ongoing operational support.
  • Experience with legal technology platforms such as Fulcrum, Intapp, NetDocuments, Aderant, or Elite, or experience within a professional services or legal environment, is preferred. 
  • Relevant technical certifications, such as Microsoft Certified: Azure Data Engineer Associate, are a plus. 
  • Exceptional analytical, troubleshooting, problem-solving, communication, and organizational skills, with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences. 
  • Demonstrated ability to manage multiple priorities, maintain detailed documentation, and handle sensitive and confidential information with discretion.

#LI-REMOTE

#LI-DNP

About McNees

Headquartered in Harrisburg, Pa., McNees operates offices across Pennsylvania, Maryland, Ohio, and Washington, D.C., giving our team a broad regional footprint and diverse opportunities for collaboration. We are ranked among the NLJ 500, Best Law Firms, and Best Lawyers, and nationally recognized for excellence in areas such as construction litigation and energy law.

Our attorneys deliver tailored strategies to businesses, individuals, and organizations across industries, including real estate, energy, healthcare, banking and finance, insurance, construction, and technology. We also have a strong presence in public sector law, advocating for clients in regulatory and legislative matters at all levels of government.

Our services span corporate law, real estate and construction, labor and employment, litigation, tax, intellectual property, energy and environmental, estate planning, and public sector law, complemented by affiliated businesses like Apollo Communications (strategic marketing and PR), Keystone Municipal Solutions (municipal consulting), and Pine Street Land Company (title and settlement services).

McNees offers an engaging work environment, robust opportunities for professional development, challenging and rewarding career paths, and competitive compensation. McNees is an Equal Opportunity Employer. Employment decisions are made without regard to any trait protected by law.