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Data Integration Jobs in Pennsylvania (NOW HIRING)

Evaluates business requirements and performs advanced data integration and analysis. Develops advanced analytical and reporting tools utilizing multiple sources of integrated data. Provides technical ...

Perform advanced data integration and analysis * Analyze federal regulatory changes (e.g., OB3, NSLDS Loan Year classification updates) to assess impact on institutional aid data and system ...

MuleSoft Developer

Chesterbrook, PA · On-site

$48.50 - $64.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The MuleSoft Integration Developer will play a key role in the design, development, and maintenance of data integration solutions that enable seamless data flow across various systems. The ideal ...

New

Data Engineer

Wayne, PA · On-site

$103K - $124K/yr

Job Summary We are seeking a Data Engineer to design, develop, and maintain scalable data pipelines that enable efficient data integration, processing, and analytics across enterprise platforms. This ...

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Data Integration information

See Pennsylvania salary details

$10

$51

$84

How much do data integration jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data integration in Pennsylvania is $51.81, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $58.32 per hour, depending on experience, location, and employer.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management tools, ETL (Extract, Transform, Load) processes, and programming languages like SQL, Python, or Java is essential. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can also enhance job prospects.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What does data integration do?

Data integration involves combining data from different sources into a unified view, enabling organizations to analyze and use the data more effectively. Data integration specialists use tools like ETL (Extract, Transform, Load) processes and data warehouses to ensure data consistency, accuracy, and accessibility across systems.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

What are the most commonly searched types of Data Integration jobs in Pennsylvania?

The most popular types of Data Integration jobs in Pennsylvania are:

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

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

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

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

What cities in Pennsylvania are hiring for Data Integration jobs?

Cities in Pennsylvania with the most Data Integration job openings:

Infographic showing various Data Integration job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $107,759 per year, or $51.8 per hour.

Data Integration Specialist

Futurewave Systems

Pittsburgh, PA • On-site

Full-time

Re-posted 16 days ago


Job description

Company Description

Founded in 2006, Futurewave Systems is a minority owned boutique, STAFFING & PROFESSIONAL SERVICES PROVIDER headquartered in Atlanta, GA. We are a GLOBAL NETWORK of proven industry professionals demonstrating the fastest fulfillment rate of high tech professionals for Fortune 500 Companies. 

Job Description

The Data Integration (DI) Specialist's role is to model/map and execute all activities related to the integration of data across various sources into an organized and unified view. This individual is also responsible for the monitoring of data flow between databases, servers and Cloud services to identify and implement the most suitable DI architecture for the organization's needs. Proven communication skills, problem-solving skills, and knowledge of integration best practices are critical to successful performance in this role.  This is a highly-technical position, within a high-paced environment.  A person with high attention to detail and a logical mindset with strong motivation and passion for technology would be a great candidate

Responsibilities

Operational/Technical:

  • Work with project managers and developers to ensure that data entry, retrieval, change and delete functions meet business requirements for project completion.
  • Lead in company data integrations with various systems that are utilized.
  • Identify data entry, retrieval, change, and delete issues, and work to ensure a high level of data availability.
  • Coordinate and work with other technical staff to develop relational databases and secondary databases.
  • Develop automated database applications, where necessary, using the applicable database packages.
  • Identify inefficiencies in current databases and leverage solutions.
  • Install and configure relevant components to ensure database access and overall database security.
  • Diagnose and resolve database access and performance issues.
  • Analyze user requirements and, based on findings, design functional specifications for client/server databases and database applications.
  • Evaluate and select database components, including hardware, relational database management systems, ETL software, metadata management tools, and database design solutions.

PERCENTAGES OF JOB RESPONSIBILTIES

% OF JOB

DESCRIPTION

75%

Integrations between various data sources, mainly MS SQL 2008/2012.  This includes writing queries, triggers, stored procedures, data quality, data validity, and ensuring database integrity.  Highly technical.  Highly logical.    

20%

Working with the Development team (Cold Fusion) in order to ensure that the coding is in line with the database structure and database attributes. 

5%

Determining data quality issues, troubleshooting data issues

 

Qualifications

Knowledge, Skills & Experience:

  • Years of direct experience in enterprise-level data integrations
  • Proven experience in overseeing the linking of cross-functional databases between disparate business units and systems.
  • Strong experience writing SQL queries, stored procedures and triggers
  • Strong experience with database platforms, including Microsoft SQL 2008/2012
  • Experience with database design applications, including Microsoft SQL 2008/2012.
  • Maintain high standards of data quality through the introduction and enforcement of information handling processes and organization of the data integration processes.
  • Hands on experience with business and technical requirements analysis, business process modeling/mapping and methodology development, and data mapping.
  • Working technical knowledge of current database software, protocols, and standards.
  • Strong understanding of database structures, theories, principles, and practices.
  • Working technical experience with designing, building, installing, configuring and supporting database servers, including Microsoft SQL 2008/2012.
  • Strong knowledge of system and software quality assurance best practices methodology.
  • Hands-on database tuning and troubleshooting experience.
  • Experience with data processing flowcharting techniques.
  • Technical Project management experience.
  • Working technical experience with developing, installing, configuring and supporting database environments.
  • Knowledge of applicable data privacy practices and laws.

Personal Attributes:

  • Highly self-motivated and directed.
  • Highly Logical.
  • Keen attention to detail.
  • Proven analytical and problem-solving abilities.
  • Ability to effectively prioritize and execute tasks in a high-pressure environment.
  • Good written and oral communication skills.
  • Strong technical documentation skills.
  • Good interpersonal skills.
  • Ability to conduct research into database issues, standards, and products as required.
  • Ability to present ideas in user-friendly language.
  • Strong customer service orientation.
  • Experience working in a team-oriented, collaborative environment.

Formal Education & Certification:

  • College diploma or university degree in the field of computer science and 5+ years equivalent work experience.