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Data Engineer Project Jobs in Pennsylvania (NOW HIRING)

Data Engineer

Wexford, PA ยท On-site

$108K - $130K/yr

Provide ad hoc support to the engineering team, including POC software development, ML model development, and data analysis, as project needs arise. Qualifications Education and experience ...

Data Engineer

Lititz, PA ยท On-site

$106K - $127K/yr

Evidence of delivering multiple end-to-end projects where engineered data products enabled ... sophisticated analysis - such as cross-system KPI reporting, forecasting, optimization ...

Data Engineer

Lititz, PA

$106K - $127K/yr

Evidence of delivering multiple end-to-end projects where engineered data products enabled ... sophisticated analysis - such as cross-system KPI reporting, forecasting, optimization ...

Data Engineer

Newtown Square, PA ยท Hybrid

$109K - $131K/yr

Proven experience delivering data projects in Agile (Scrum or Kanban) teams * DevOps: Practical experience with Azure DevOps for CI/CD, branching strategies, and pipeline automation * Performance:

Sr Data Engineer

Blue Bell, PA ยท On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... Experience with project management tools like JIRA. Strong understanding of agile development ...

Sr Data Engineer

Blue Bell, PA ยท On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... Experience with project management tools like JIRA. Strong understanding of agile development ...

Data Engineer - Senior Manager

Philadelphia, PA ยท On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Engineer - Senior Manager

Pittsburgh, PA ยท On-site

$124K - $280K/yr

As a Senior Manager you lead large projects, innovate processes, and maintain operational ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

$107K - $129K/yr

... ML projects seamlessly. Education & Experience * Bachelor's degree in computer science, data ... Significant experience working in a Data Engineering or similar role. * Proven experience designing ...

Sr Data Engineer - Data Platform This is a fullyremote role. D&H is growing! Join 100+ year old ... Actively participate in design discussions, code reviews, and project-related team meetings.

Data Engineer - onsite

Hanover, PA ยท On-site

$110K - $132K/yr

Assign a dedicated Data Engineer to serve as the primary technical resource for data integration, migration, implementation, and post-deployment support activities throughout the project lifecycle.

$130K - $144K/yr

Project Management : Experience leading projects and collaborating across teams * Problem-Solving ... Programming : Python, SQL, Terraform * Data Modeling : Strong understanding of data modeling ...

Data Engineer - onsite

Hanover, PA ยท On-site

$110K - $132K/yr

Assign a dedicated Data Engineer to serve as the primary technical resource for data integration, migration, implementation, and post-deployment support activities throughout the project lifecycle.

Data Engineer, Senior

Pittsburgh, PA ยท On-site

$102K - $139K/yr

Senior Data Engineers develop custom end-to-end integration solutions for large data sets of ... This position will be required to manage multiple projects and to prioritize work and have ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... Understand the broader objectives of your project or role and how your work fits into the overall ...

Showing results 21-40

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high 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. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

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

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

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

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

What cities in Pennsylvania are hiring for Data Engineer Project jobs?

Cities in Pennsylvania with the most Data Engineer Project job openings:

Infographic showing various Data Engineer Project 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.

Data Engineer

ARMADA

Wexford, PA โ€ข On-site

$108K - $130K/yr

Full-time

Re-posted 6 days ago


Job description

SUMMARY
As a Data Engineer for our Digital Services division, you will drive the evolution of our next generation data infrastructure, which powers a wide range of analytics and software products. You will be responsible for designing, developing, and maintaining advanced data pipelines using the latest technologies in cloud computing and data processing. In this pivotal role, you will collaborate with cross-functional teams including data scientists, software engineers, and business analysts. You will use your excellent soft skills to interface with non-technical stakeholders and ensure that their needs are met in the form of functional and non-functional requirements.
RESPONSIBILITIES:
  • Design, build, and maintain our data infrastructure to support analytics and integration into software products and services.
  • Partner with data scientists to build processing pipelines that enable them to rapidly create high-quality machine learning models.
  • Work with software engineers to develop and maintain pipelines to feed data to our growing software portfolio.
  • Manage ETL/ELT processes as code and foster a codebase that is extensible and maintainable by all team members.
  • Manage the transition from quick prototype to full scalable solution that supports production products.
  • Identify, recommend, and implement innovative approaches and technologies that will evolve our existing processes
  • Provide ad hoc support to the engineering team, including POC software development, ML model development, and data analysis, as project needs arise.

Qualifications
Education and experience requirement
  • BS/MS Degree in Computer Science, Engineering, Data Analytics, or related field.
  • 3+ years' experience in data engineering, ETL development, or similar role.
  • Strong problem-solving skills to discover, address, and resolve issues.
  • Demonstrated ability to translate technical concepts into actionable insights for different stakeholders.

Language and technical skills requirement
  • Proficient in programming languages such as Python and SQL and development tools such as Git.
  • Experience with cloud platforms such as Azure, AWS, or GCP for deploying and managing data infrastructure.
  • Skilled with rational database schema design.
  • Hands-on experience with data processing tools and platforms such as Snowflake, Azure Synapse, Azure Data Factory, Data Bricks, etc.
  • Solid understanding of machine learning models, tools, libraries, and approaches.
  • Experience with business intelligence tools such as Power BI, Spotfire, Cognos, Tableau, Qlik.

Physical demands and work environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
  • Work is usually performed in an office environment with normal noise levels. Involves prolonged sitting and computer usage.
  • Work may involve limited travel.

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.