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Data Engineering Jobs in Pennsylvania (NOW HIRING)

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Required : • Bachelor's degree in Data Engineering, Computer Science, or related field. • 3-5 years of experience in data engineering, preferably within AWS environments. • Proficiency in ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Lead Data Engineer

King Of Prussia, PA · On-site

$111K - $134K/yr

Drive innovation and establish best practices in data engineering, serving as the subject matter expert for modern data platform capabilities Manage the full life-cycle development process for data ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Required : • Bachelor's degree in Data Engineering, Computer Science, or related field. • 3-5 years of experience in data engineering, preferably within AWS environments. • Proficiency in ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native data platforms on Microsoft Azure . This role offers the ...

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

Bachelor's in computer science, data engineering, statistics, mathematics, or related fields. 5 years in data visualization, data mining, and analysis using Power BI Proven experience as a Data ...

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

The role requires advanced Python and SQL expertise along with strong hands-on experience with AWS data services to develop scalable and reliable data engineering solutions. Key Responsibilities: • ...

Data Engineer

Philadelphia, PA

$115K - $138K/yr

Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the orchestration layer, and the pipelines that move data from our operational systems to everyone who ...

$110 - $150/hr

The Sr. Analyst, Data & Analytics Engineering provides strategic and tactical support to Vanscoy Rare Pharmacy and will report directly to the Data Analytics Manager. The Sr. Analyst, Data ...

Showing results 21-40

Data Engineering information

See Pennsylvania salary details

$46.1K

$165.4K

$244.1K

How much do data engineering jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineering in Pennsylvania is $165,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,800.00 and $170,400.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

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

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

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

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

What cities in Pennsylvania are hiring for Data Engineering jobs?

Cities in Pennsylvania with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,414 per year, or $79.5 per hour.

Data Engineer - Databricks

System One

Pittsburgh, PA • On-site

$111K - $133K/yr

Contractor

Re-posted 15 days ago


Job description

Data Engineer – Azure Databricks Contract-to-Hire Pittsburgh, PA – Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview

  • Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure.
  • This role will focus on designing and implementing scalable, secure, and high-performance data solutions using Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog. The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain.
  • The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment.
Required Competencies Competency Importance Proficiency Level
  • Apache Spark
  • Required
  • Expert
  • Microsoft Azure
  • Required
  • Advanced
  • Investment Banking and Securities
  • Required
  • Advanced
  • Structured Query Language – SQL
  • Required
  • Expert
  • Unity Catalog
  • Required
  • Advanced
  • Databricks
  • Required
  • Expert
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Build and optimize ETL and ELT workflows using PySpark, SQL, Apache Spark, and Delta Lake.
  • Implement and manage Unity Catalog for enterprise data governance, metadata management, security, and fine-grained access control.
  • Develop cloud-native data engineering solutions on the Microsoft Azure platform.
  • Collaborate with architects, business analysts, and cross-functional teams to translate business requirements into technical solutions.
  • Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
  • Ensure data quality, reliability, governance, and regulatory compliance through validation, monitoring, and engineering best practices.
  • Support production deployments, troubleshooting, root-cause analysis, and performance tuning.
  • Participate in code reviews, technical documentation, and continuous improvement initiatives.
  • Apply cloud data engineering, security, CI/CD, and DevOps best practices within Azure environments.
Required Qualifications
  • 8+ years of overall data engineering or related technology experience preferred.
  • Minimum 5 years of hands-on Azure Databricks experience.
  • Mandatory hands-on experience implementing and managing Unity Catalog.
  • Expert-level experience with Apache Spark, PySpark, and SQL.
  • Strong experience developing enterprise-scale data engineering solutions on Microsoft Azure.
  • Strong experience with Delta Lake, ETL/ELT development, and data pipeline implementation.
  • Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  • Strong knowledge of the Microsoft Azure data ecosystem.
  • Strong understanding of data governance, metadata management, data security, and access control.
  • Mandatory experience within Investment Banking, Securities, or Capital Markets.
  • Experience using Git and implementing CI/CD practices.
  • Experience working in Agile/Scrum delivery environments.
  • Excellent analytical, communication, and problem-solving skills.
  • Must be willing to work onsite in Pittsburgh, PA.
  • Must be willing and eligible to convert to full-time employment after six months.
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Microsoft Certified Azure Data Engineer Associate, DP-203.
  • Experience with Infrastructure as Code using Terraform or Bicep.
  • Experience implementing DevOps practices for Azure Databricks environments.
  • Familiarity with Microsoft Purview or Azure Purview.
#M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh


System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US