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Data Engineer Contract Jobs in Exton, PA (NOW HIRING)

AeroVironment, Inc.

Contracts Manager

Pottstown, PA · On-site

$86K - $115K/yr

... and engineering, to streamline contract workflows and mitigate risks. Your expertise will be ... Oversee maintenance and retrieval of contract documents/files and validated data, preparation of ...

AeroVironment

Contracts Manager

Pottstown, PA · On-site

$86K - $115K/yr

... and engineering, to streamline contract workflows and mitigate risks. Your expertise will be ... Oversee maintenance and retrieval of contract documents/files and validated data, preparation of ...

Stem Xpert

Java Developer

Philadelphia, PA

$51.50 - $66.50/hr

Java Developer Contract Duration: 12 + months Location: Philadelphia, Pennsylvania 19104 Required ... Data conversion, migrating and reconfiguring files from one format to another * Report generation ...

Bentley Systems

Contracts Negotiator

Exton, PA · On-site

Experience with technology licensing, SaaS agreements, and data privacy and information security ... Founded in 1984 by engineers for engineers, Bentley is the partner of choice for engineering firms ...

NDI Engineering

Mechanical Engineer

Philadelphia, PA · On-site

NDI Engineering is seeking a Mechanical Engineer--ranging from recent graduates to journeyman-level ... contract deliverables within an Integrated Data Environment (IDE), formulate technical responses ...

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Showing results 41-60

All JobsData Engineer Contract JobsData Engineer Contract Jobs in Exton, PA

Data Engineer Contract information

See Exton, PA salary details

$42.9K

$125.2K

$171.3K

How much do data engineer contract jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data engineer contract in Exton, PA is $125,195.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $132,700.00 per year, depending on experience, location, and employer.

What is a data engineer contract?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the typical daily responsibilities of a data engineer contract?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.

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

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

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

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

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

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

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

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

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

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

Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Exton, PA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $125,195 per year, or $60.2 per hour.

Data Architect/ Technology Architect | Microsoft Fabric (USC)

Lorhan Corporation

Blue Bell, PA • On-site

$61 - $78.25/hr

Other

Posted 14 days ago

Job description

Job Title: Data Architect/ Technology Architect | Microservices | Microsoft Azure Service Fabric
Work Location & Reporting Address: Blue Bell, PA 19422 (Onsite-Hybrid. Will consider candidates willing to relocate to client’s location)
Contract duration: 12
Target Start Date: 01 Sep 2026
Does this position require visa-independent candidates only? Yes (USC)
Must Have Skills:
⦁ Experience: 10+ years in Data Architecture or Engineering, with at least 3-4 years of hands-on experience in Microsoft Fabric (or deep expertise in Power BI + Azure Synapse/Databricks).
⦁ Technical Mastery: Proficient in PySpark/Notebooks, T-SQL, and DAX.
⦁ Data Strategy: Proven track record of designing "OneLake" architectures that break down departmental data silos.
Nice to Have Skills:
⦁ Azure
Detailed Job Description:
Administration & Governance
⦁ Tenant Management: Configure and audit tenant settings, ensuring feature parity and security compliance across the organization.
⦁ Capacity Optimization: Monitor Fabric Capacity (F-SKUs) usage via the Capacity Metrics app; implement scaling strategies to balance performance and cost.
⦁ Security: Enforce fine-grained access control (RBAC), Row-Level Security (RLS), and Object-Level Security (OLS) across the Fabric ecosystem.
⦁ Purview Integration: Manage data discovery and lineage through Microsoft Purview to ensure data democratization remains compliant, design and enforce labels to ensure protection across Fabric.
⦁ Governance : Configure DLP policies to prevent unauthorized sharing or leakage of sensitive data from Lakehouses and Semantic Models.
⦁ Logging, Alerting & Capacity Management: Integrate Fabric with Azure Log Analytics for long-term auditing and trend analysis , proactive monitoring and manage throttling and smoothing events; identify "noisy neighbor" workloads and implement scaling or staggering strategies to ensure performance.
⦁ Power BI: Establishing standards and conduct training for non IT data access PowerBI users in support of our data governance programs
Architecture & Engineering
⦁ Design & Implement: Oversight over build out our Medallion Architecture (Bronze, Silver, Gold) using Fabric Lakehouses and Warehouses. Providing best practices to data developers to insure fabric capacity is not over consumed and is optimized.
⦁ Data Integration: Develop efficient orchestration patterns using Data Factory pipelines and Dataflows Gen2, utilizing Shortcuts to minimize data duplication. Design, implement and manage all connectivity to the MS Fabric including data load sources from SaaS providers
⦁ Performance Tuning: Optimize semantic models for DirectLake mode to provide near-real-time reporting without the overhead of traditional Import modes.
⦁ CI/CD & DevOps: Establish deployment pipelines using Git integration to manage lifecycle transitions between Dev, Test, and Production.
Required Qualifications
⦁ Experience: 10+ years in Data Architecture or Engineering, with at least 3-4 years of hands-on experience in Microsoft Fabric (or deep expertise in Power BI + Azure Synapse/Databricks).
⦁ Technical Mastery: Proficient in PySpark/Notebooks, T-SQL, and DAX.
⦁ Data Strategy: Proven track record of designing "OneLake" architectures that break down departmental data silos.
Minimum Years of Experience:
⦁ 10+ years
Certifications Needed:
⦁ Any certification is preferred but no required
Top 3 responsibilities you would expect the Subcon to shoulder and execute:
Interview Process (Is face to face required?)
⦁ Virtual

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