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Azure Data Factory Contract Jobs in Raleigh, NC (NOW HIRING)

GEI Consultants

Data Engineer

Cary, NC

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

KPMG US

Manager, Data Operations

Raleigh, NC · On-site

Required : • Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure ...

FHR

MO 85- Power BI and Data engineer (806590)

Raleigh, NC · On-site

$111K - $133K/yr

... Data Factory, Azure SQL, monitoring tools). Required 2 Years Experience in Azure Data Lake Storage (ADLS), Delta Lake, and data modeling concepts and Warehousing (star schema, snowflake schema ...

Chiesi Group

Data Engineer

Cary, NC · Hybrid

$106K - $127K/yr

Strong proficiency in Azure SQL Database, SQL Server, Azure Data Factory, SSIS, and Databricks. * Experience with SQL and other database management systems. * Knowledge of data architecture concepts ...

New

Pwc

Data Engineer - Manager

Raleigh, NC · On-site

... Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services - Designing and managing data warehouses and data lakes, verifying data is organized and accessible ...

Litera

Integration Engineering Consultant

Raleigh, NC

$101K - $136K/yr

Connect and orchestrate data pipelines between on-premises SQL databases and cloud services using Azure Data Factory (ADF), Logics Apps and Power Automate connectors. * Validate and monitor automated ...

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How much do azure data factory contract jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for azure data factory contract in Raleigh, NC is $56.77, according to ZipRecruiter salary data. Most workers in this role earn between $51.39 and $63.80 per hour, depending on experience, location, and employer.

What is an Azure Data Factory contract?

An Azure Data Factory contract job involves working on a temporary or project-based basis to design, develop, and maintain data integration solutions using Microsoft Azure Data Factory. Contractors are typically responsible for building data pipelines, orchestrating data workflows, and ensuring data is efficiently moved and transformed across various sources. These professionals work with cloud-based data services, often collaborating with teams to implement ETL (Extract, Transform, Load) processes. Contract roles may be short-term or extend over several months, depending on project requirements.

What are the key skills and qualifications needed to thrive as an Azure Data Factory contractor?

To thrive as an Azure Data Factory Contractor, you need strong experience in data integration, ETL processes, SQL, and cloud-based data services, often supported by a degree in computer science or related field. Familiarity with Azure Data Factory, Azure Synapse Analytics, Power BI, ADF pipelines, and relevant Microsoft certifications like Azure Data Engineer Associate are typically required. Excellent problem-solving, communication, and project management skills enable collaboration and effective delivery of complex data solutions. These skills ensure robust, scalable data integration workflows that meet business needs and drive success in cloud data projects.

What are some common challenges faced by Azure Data Factory contractors and how can they be addressed?

Azure Data Factory contractors often encounter challenges such as integrating diverse data sources, managing complex data pipelines, and ensuring data security within client environments. To address these, it's important to stay updated on Azure's latest features, maintain clear documentation for data flows, and communicate regularly with stakeholders to align on data requirements. Additionally, leveraging built-in monitoring tools and collaborating with in-house IT teams can help ensure that solutions are robust and scalable.

What is the difference between Azure Data Factory Contract vs Azure Data Engineer?

AspectAzure Data Factory ContractAzure Data Engineer
CredentialsAzure certifications, data integration skillsAzure certifications, data engineering, SQL, ETL skills
Work EnvironmentProject-based, client sites, cloud platformsIn-house or consulting, cloud and on-premises environments
Industry UsageData integration projects, cloud migrationData pipeline development, data architecture
Search IntentContract roles involving Azure Data FactoryFull-time or contract roles as Azure Data Engineer

Azure Data Factory Contract roles focus on short-term projects involving data integration using Azure Data Factory, often requiring specific certifications. Azure Data Engineers have broader responsibilities in designing and maintaining data pipelines and architectures, with similar certifications but a wider skill set. Both roles are vital in cloud data solutions but differ mainly in scope and employment type.

What are the most commonly searched types of Azure Data Factory jobs in Raleigh, NC?

The most popular types of Azure Data Factory jobs in Raleigh, NC are:

What are popular job titles related to Azure Data Factory Contract jobs in Raleigh, NC?

For Azure Data Factory Contract jobs in Raleigh, NC, the most frequently searched job titles are:

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The top searched job categories for Azure Data Factory Contract jobs in Raleigh, NC are:

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Cities near Raleigh, NC with the most Azure Data Factory Contract job openings:

Azure Data Factory Contract jobs near you

Data Engineer

GEI Consultants

Cary, NC

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

287th of 450 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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