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

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 Governance- Manager

Raleigh, NC · On-site

$99K - $232K/yr

... 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 ...

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance ... Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data ...

Senior Data Engineer

Raleigh, NC · On-site

$91K - $163K/yr

Use enterprise-approved AI tools to automate data engineering workflows, streamline ETL maintenance ... Experience with ETL orchestration tools (e.g., Airflow, Azure Data Factory) and managing data ...

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals) * Data ...

Data Analytics Engineer

Durham, NC

$110K - $132K/yr

Data Analytics Engineer Required Qualifications: * 3+ years of experience data modeling in data warehouses with modern design patterns. * 3+ years of experience with Microsoft Azure, including key ...

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Cloud data platformproficiency(Snowflake, Databricks, Azure ecosystem fundamentals) * Data ...

Kognitiv Edge is seeking aData Engineer IIIto lead the design, development, and evolution of the ... Experience with Azure Synapse Analytics, Azure Data Factory, Databricks, Event Grid, or similar ...

AI Engineer

Cary, NC

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of Azure cloud services, including Azure AI Platform, Azure Data Factory, Azure Synapse ...

Data Engineer

Cary, NC · On-site

$106K - $127K/yr

GitLab, Azure DevOps, Terraform, Argo CD o Containerization: Kubernetes, Docker o Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker This position requires fluent written and oral ...

Data Engineer

Cary, NC

$106K - $127K/yr

GitLab, Azure DevOps, Terraform, Argo CDo Containerization: Kubernetes, Dockero Data Tools: Pyspark, Snowpark, AWS Glue, Pandas, Databricks, SageMaker This position requires fluent written and oral ...

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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 22, 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.

Data Engineer

Xylem

Morrisville, NC • On-site

$107K - $128K/yr

Full-time

Posted 8 days ago


Xylem rating

7.1

Company rating: 7.1 out of 10

Based on 85 frontline employees who took The Breakroom Quiz

357th of 519 rated manufacturers


Job description

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the world's most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions.

The Role

As a Data Engineer, you will lead data engineering efforts for the RF Network Optimization and Reporting team by building and modernizing scalable data pipelines and integration frameworks. You will design, develop, and maintain API-driven data ingestion workflows that support Application Engineers and Optimization Engineers, enabling high-quality, customer-facing insights. This role combines hands-on engineering with cross-functional collaboration in an IoT and network-driven environment.

Core Responsibilities
  • Design and implement scalable data pipelines that ingest data from RESTful APIs, streaming sources, and third-party platforms.

  • Develop and maintain workflows using Python, Microsoft Fabric, and/or Power Platform to process structured and unstructured data.

  • Collaborate with Application Engineers and Network Optimization Engineers to understand requirements and deliver high-quality datasets for customer-facing reporting.

  • Optimize data ingestion, transformation, and storage processes for performance, scalability, and cost efficiency.

  • Ensure data quality, integrity, and security across all pipelines and integrations.

  • Monitor, troubleshoot, and maintain data workflows, API integrations, and system performance.

  • Document data processes, schemas, and integration logic for internal stakeholders.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

  • 3+ years of experience in data engineering or data analysis.

  • Strong proficiency in Python for data processing and pipeline development.

  • Experience working with API integrations, including RESTful services and webhooks.

  • Strong knowledge of SQL and relational databases.

  • Experience with cloud-based data platforms (e.g., Azure, Microsoft Fabric, Superset, or similar).

Preferred Qualifications
  • Experience with Advanced Metering Infrastructure (AMI) or RF network environments.

  • Experience with data orchestration tools such as Airflow or Prefect.

  • Experience working with streaming data platforms (e.g., Kafka, Event Hubs, Pub/Sub).

  • Familiarity with Atlassian tools (Jira, Confluence, Bitbucket).

  • Exposure to containerization technologies (Docker, Podman).

  • Knowledge of version control (Git) and CI/CD practices.

  • Familiarity with ITIL practices and frameworks.

Additional Information
  • Work Environment: Hybrid or office-based environment supporting collaboration with engineering teams and stakeholders.

  • Travel Requirements: Minimal travel may be required based on team or project needs.

Join the global Xylem team to be a part of innovative technology solutions transforming water usage, conservation, and re-use. Our products impact public utilities, industrial sectors, residential areas, and commercial buildings, with a commitment to providing smart metering, network technologies, and advanced analytics for water, electric, and gas utilities. Partner with us in creating a world where water challenges are met with ingenuity and dedication; where we recognize the power of inclusion and belonging in driving innovation and allowing us to compete more effectively around the world.

At Xylem, you'll not only contribute to solving water issues but also have the chance to make a difference through our paid Volunteer Program, Xylem Watermark. We prioritize our employees' well-being through inclusion and belonging as well as our Employee Resource Groups (ERG). Proud to be an Equal Employment Opportunity (including disability and veterans) and Affirmative Action workplace, Xylem fosters an inclusive environment free from discrimination or harassment.

Please note that the information in this job description outlines the general nature of the position and is not an exhaustive list of duties. Xylem is dedicated to providing reasonable accommodations to enable all employees to perform their essential job functions. We reserve the right to modify this job description and assign additional duties as needed. Embrace the opportunity to be part of Xylem's transformative journey in shaping the future of water technology! #XylemCareers #GlobalImpact #WaterInnovation


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