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Data Engineer Jobs in Philadelphia, PA (NOW HIRING)

Reply

Data Engineer

Philadelphia, PA

$115K - $138K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone ...

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

SITA Switzerland Sarl

Data Engineer

Cedar Brook, NJ · On-site +1

$113K - $136K/yr

PURPOSE As a Data Engineer, you will accelerate new airline onboarding by ingesting heterogeneous airline systems and external sources, and turning them into trusted data for OCCam, SITA's AI-powered ...

New

VensIT Corp

W2// Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Data Engineer Location : Blue Bell, PA Duration : 1 year Contract REMOTE WORK As a Senior Data Engineer, you will work with the team to build complex data pipelines using a new cutting-edge Data ...

New

Tech Tammina LLC

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Role: Azure Data Engineer Location: Hamilton, NJ (4 days onsite) Duration: Long term Responsibilities * Design and develop data pipelines using Azure Data Services and Databricks . * Build and ...

3B Staffing LLC

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Strong Python and backend/data engineering experience * Experience building production data pipelines (ETL, streaming, or async systems) * Solid understanding of distributed systems and failure modes

3B Staffing LLC

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Strong Python and backend/data engineering experience * Experience building production data pipelines (ETL, streaming, or async systems) * Solid understanding of distributed systems and failure modes

Eleven Recruiting

SAP Data Engineer

Swedesboro, NJ · On-site

$113K - $135K/yr

Their client, a baking company, is seeking an SAP Data Engineer to lead the design, development, and implementation of enterprise data solutions, enhancing data accessibility and driving insightful ...

Capital One

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Wilmington, DE

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Capital One

Lead Data Engineer

Wilmington, DE · On-site

$111K - $133K/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery ...

Genesis10

Entry Level Data Engineer

Philadelphia, PA · On-site

$60K/yr

Now hiring for our Data Engineer cohort starting in November 2026. To apply, please submit a formal application through our website: Dev10 Apply Here What We Require * Willingness to relocate ...

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate will be responsible for troubleshooting data issues, backend ...

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy Claims Experience. The ideal candidate will be responsible for troubleshooting data issues, backend ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Philadelphia, PA

Data Engineer information

See Philadelphia, PA salary details

$42.5K

$124K

$169.6K

How much do data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data engineer in Philadelphia, PA is $123,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

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 a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Philadelphia, PA?

The most popular types of Data Engineer jobs in Philadelphia, PA are:

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

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

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

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

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

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

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,973 per year, or $59.6 per hour.

Data Engineer

Reply

Philadelphia, PA

$115K - $138K/yr

Full-time

Posted 17 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
 
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills - someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
 
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
   Work directly with clients to understand business goals, data challenges, and technical requirements
   Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
   Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
   Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
   Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
   Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
   Bachelor's degree in computer science or related field
   6+ years of experience in data engineering, data platform development, or cloud data solutions
   3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
   Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
   Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI 
   DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
   Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
   Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
   Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
   Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements 
   Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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