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Azure Data Engineer Jobs in Raleigh, NC (NOW HIRING)

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Hands-on experience with Microsoft Fabric strongly preferred; equivalent experience with Azure ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Overview Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh ... Hands-on experience with Microsoft Fabric strongly preferred; equivalent experience with Azure ...

Senior Data Engineer

Raleigh, NC · On-site

$103K - $140K/yr

Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh, North ... Hands-on experience with Microsoft Fabric strongly preferred; equivalent experience with Azure ...

Snowflake Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

About the role Inn-Flow is hiring a Snowflake Data Engineer with 3+ years of hands-on experience ... Familiarity with Azure cloud services: particularly Azure Data Lake Storage Gen2. * Proficiency in ...

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

Tier One Technologies is seeking a Data Engineer to support our US Government client with data ... Azure/Databricks environment. * Implement de-duplication strategies across large-scale datasets ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ... Build and manage automated data pipelines using Azure Data Factory (ADF) to ingest and process ...

Senior Data Engineer

Raleigh, NC · Hybrid

$91K - $163K/yr

We are looking for a hands-on developer who is eager to use modern AI-assisted tools to drive ... Build and manage automated data pipelines using Azure Data Factory (ADF) to ingest and process ...

Kognitiv Edge is seeking aData Engineer IIto help build andmaintainthe data infrastructure that ... Experience with Azure-native security tooling (e.g., Microsoft Defender for Cloud, Azure Policy ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Data Engineer

Morrisville, NC · On-site

$107K - $128K/yr

The Role As a Data Engineer , you will lead data engineering efforts for the RF Network ... Experience with cloud-based data platforms (e.g., Azure, Microsoft Fabric, Superset, or similar)

Data Engineer

Morrisville, NC · On-site

$107K - $128K/yr

The Role As a Data Engineer , you will lead data engineering efforts for the RF Network ... Experience with cloud-based data platforms (e.g., Azure, Microsoft Fabric, Superset, or similar)

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

... and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions - Leveraging Apache Airflow and ...

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Azure Data Engineer information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do azure data engineer jobs pay per year?

As of Jun 20, 2026, the average yearly pay for azure data engineer in Raleigh, NC is $126,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,300.00 and $133,700.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer, and why are they important?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What engineers make $300,000 a year?

Senior data engineers, including those working with cloud platforms like Azure, can earn $300,000 or more annually, especially with extensive experience, specialized skills in data architecture, and relevant certifications. High salaries are often found in large organizations or in roles requiring advanced expertise in big data, machine learning, and data pipeline management.

Is azure data engineer a good career?

Azure Data Engineer is a valuable career path involving designing and implementing data solutions using Microsoft Azure tools and services. It requires skills in data modeling, cloud computing, and familiarity with tools like Azure Data Factory and SQL, with certifications enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management across industries.

What is the salary of azure data engineer?

The average salary of an Azure Data Engineer typically ranges from $90,000 to $130,000 annually, depending on experience, location, and certifications such as Microsoft Certified: Azure Data Engineer Associate. Senior roles or those in high-demand regions may offer higher compensation.

What engineers make $500,000?

Senior data engineers, including those working with cloud platforms like Azure, can earn $500,000 or more annually, especially with extensive experience, specialized skills in data architecture, and certifications. High compensation is often associated with leadership roles, large organizations, or those with expertise in big data, machine learning, and advanced analytics.

What are Azure Data Engineers?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.
What are the most commonly searched types of Azure Data Engineer jobs in Raleigh, NC? The most popular types of Azure Data Engineer jobs in Raleigh, NC are:
What are popular job titles related to Azure Data Engineer jobs in Raleigh, NC? For Azure Data Engineer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Raleigh, NC look for? The top searched job categories for Azure Data Engineer jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Azure Data Engineer jobs? Cities near Raleigh, NC with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Raleigh, NC as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $126,088 per year, or $60.6 per hour.
Senior Data Engineer

Senior Data Engineer

Kimley-Horn

Raleigh, NC • On-site

$103K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 27 days ago


Kimley-Horn rating

8.9

Company rating: 8.9 out of 10

Based on 84 frontline employees who took The Breakroom Quiz

32nd of 355 rated engineering


Job description

Overview
Kimley-Horn is seeking a Senior Data Engineer to join our Innovations team in Raleigh, North Carolina (NC). This is an in-office opportunity
Responsibilities
Kimley-Horn is building an enterprise data platform to activate project and operational data for AI, search, analytics, and knowledge access across our AEC project delivery ecosystem. We're looking for a Data Engineer to help build a Microsoft Fabric-based lakehouse + warehouse platform on OneLake that unifies data, applies strong governance, and delivers trusted data products for enterprise use. This role will partner closely with IT, security, and civil engineering leadership to build a scalable, secure foundation for data activation across the firm.
What You'll Do
  • Design and implement a Microsoft Fabric lakehouse + warehouse architecture on OneLake, with Bronze and Silver layers in the Lakehouse and curated Gold data products in the Warehouse.
  • Build and maintain ingestion, transformation, and publishing pipelines using Fabric and related Azure services, including Data Factory pipelines, Lakehouse, Warehouse, notebooks/Spark, and SQL.
  • Integrate data from key AEC systems-including project delivery, documents, financials, scheduling, and GIS/BIM-related sources-and develop repeatable onboarding patterns using incremental loads, CDC where appropriate, monitoring, alerting, and runbooks.
  • Publish trusted data products, metadata, and lineage that support AI use cases such as enterprise search, copilots, and retrieval-based applications.
  • Partner with IT and security to establish data quality, governance, access controls, data classification, lifecycle policies, and production DataOps practices.

Qualifications
What We're Looking For
  • 5+ years of experience in data engineering, analytics engineering, or building production-grade data platforms and pipelines.
  • Strong SQL skills and experience with relational and analytical data modeling, transformation design, and curated datasets for downstream use.
  • Hands-on experience with Microsoft Fabric strongly preferred; equivalent experience with Azure-based lakehouse, warehouse, or modern data platform services will also be considered.
  • Proficiency in Python and/or Spark, plus experience with orchestration tools such as Microsoft Fabric Data Factory pipelines or Azure Data Factory.
  • Experience supporting production data workloads, including incremental loading or CDC patterns, monitoring, CI/CD, governance, and collaboration across technical and business teams.

Nice to Have
  • Experience implementing medallion architecture patterns in Microsoft Fabric.
  • Experience preparing enterprise data for AI or LLM-driven use cases, including metadata enrichment, chunking, embeddings workflows, or retrieval optimization.
  • Familiarity with Azure AI Search, vector or hybrid retrieval patterns, and secure enterprise search architectures.
  • Familiarity with data catalog, governance, and lineage tools such as Microsoft Purview or similar platforms.
  • AEC domain familiarity, including project delivery data, GIS, BIM/CAD metadata, and document workflows.

Why This Role
This is an opportunity to help build the trusted data foundation that makes project information usable across the firm-for analytics, enterprise search, copilots, and AI-powered applications.
Why Kimley-Horn?
At Kimley-Horn, we do things differently. People, clients, and employees are at the forefront of who we are. Clients know we prioritize achieving their goals and growing their success. Employees know our culture and approach to business are built on a desire to provide an environment for everyone to flourish. Our commitment to quality is only as good as the people behind it- that's why we welcome and develop passionate, hardworking, and proactive employees. We take pride in how our employee retention, robust benefits package, and company values have led to Kimley-Horn's placement on the Fortune "100 Best Companies to Work" list for 19 years!
Key Benefits at Kimley-Horn
  • Exceptional Retirement Plan: 2-to1- company match on up to 4% of eligible compensation (salary + bonus) and additional profit-sharing contribution.
  • Comprehensive Health Coverage: Low-cost medical, dental, and vision insurance options.
  • Time Off: Personal leave, flexible scheduling, floating holidays, and half-day Fridays.
  • Financial Wellness: Student loan matching in our 401(k), and performance-based bonuses.
  • Professional Development: Tuition reimbursement and extensive internal training programs.
  • Family-Friendly Benefits: New Parent Leave, family building benefits, and childcare resources.

What Kimley-Horn employees say

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About Kimley-Horn

Sourced by ZipRecruiter

We are a full-service consulting firm that provides a wide range of infrastructure and land development planning and engineering services to both public and private clients. Though we have more than 6,000 employees in 100+ offices, we pride ourselves on our small company feel. At Kimley-Horn, we do things differently. People--clients and employees--are at the forefront of our business. Clients know we are laser-focused on their success. Employees know our culture and approach to business are built on a desire to see our staff flourish, one and all. Both groups know that with Kimley-Horn, they can expect more and experience better.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Raleigh, NC, US

Year founded

1967