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Remote Data Engineer Jobs in Cary, NC (NOW HIRING)

Focused HR Solutions

Azure Data Engineer 1-20-

Raleigh, NC · Remote

$117K - $140K/yr

Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC. If you are ...

UnitedHealth Group

Senior Data Engineer

Raleigh, NC · Remote

$91K - $163K/yr

Use enterprise-approved AI toolsto automate data engineering workflows, streamline ETL maintenance, and drive continuous improvement in engineering velocity * Implement advanced data ...

Genesys

Senior Data Engineer, Finance

Raleigh, NC · On-site +1

$283K/yr

Note this role is remote US in EST or CST Role Overview: This role shapes the future of financial ... Establish and enforce engineering standards for testing, deployment, and documentation across data ...

New

Redhat

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

... functional data science and engineering teams. * Design and deploy intelligent retrieval ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Red River

Senior Data Engineer

Raleigh, NC · Remote

$180K/yr

... functional data science and engineering teams. * Design and deploy intelligent retrieval ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Redhat

Principal Data Scientist

Raleigh, NC · On-site +1

$147K - $243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Red River

Principal Data Scientist

Raleigh, NC · On-site +1

$243K/yr

Work closely with data engineering and ML Ops functional roles to operationalize data science ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Cary, NC

Remote Data Engineer information

See Cary, NC salary details

$45.4K

$132.2K

$180.9K

How much do remote data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for remote data engineer in Cary, NC is $132,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,100.00 per year, depending on experience, location, and employer.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What are the key skills and qualifications needed to thrive as a remote data engineer, and why are they important?

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Cary, NC?

The most popular types of Data Engineer jobs in Cary, NC are:

What are popular job titles related to Remote Data Engineer jobs in Cary, NC?

For Remote Data Engineer jobs in Cary, NC, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Cary, NC look for?

The top searched job categories for Remote Data Engineer jobs in Cary, NC are:

What cities near Cary, NC are hiring for Remote Data Engineer jobs?

Cities near Cary, NC with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Cary, NC as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 9% Part Time, 5% Temporary, and 3% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $132,204 per year, or $63.6 per hour.

Azure Data Engineer 1-20-

Focused HR Solutions

Raleigh, NC • Remote

$117K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

This position is 100% on-site in Raleigh, NC.  In-Person Interview REQUIRED on 1st round.
 
Our direct client has an opening for a Azure Data Engineer position # 730992. This position is for 4+ months, with option of extension, and will be worked 100% on-site in Raleigh, NC.
 
If you are interested, please submit the following:
  • YOUR CURRENT RESUME
  • YOUR HOURLY RATE 
 
Below is the job description – Resumes due ASAP.
 
Description:
We are looking for an experienced Data Engineer to join our team. You will use various methods to import raw data into Azure Cloud. You will analyze data and create rules for the ETL process. The import process will also include identifying the business rules and apply them to the files stored in staging area before moving the files to processed area.
 
The ideal candidate will have a strong background in data engineering, along with expertise in cloud computing. This role offers an exciting opportunity to play a key role in modernizing our technology stack and driving our organization's digital transformation journey.
 
Responsibilities:
  • Collaborate with cross-functional business teams to understand requirements, analyze, and organize raw data import by identifying the ETL rules. 
  • Identify and apply transformation rules for legacy data migration from mainframe systems to the Azure cloud platform.
  • Develop and implement data pipelines, ETL processes, and data integration solutions to facilitate the conversion of data.
  • Develop and maintain documentation, best practices, and standards for data engineering processes and procedures.
  • Provide technical leadership and mentorship to team members, guiding them in best practices for data engineering and cloud migration projects.
  • Explore ways to enhance data quality and reliability.
 
Requirements and Skills:
Data Modeling and Database Design:
  • Proficiency in designing and implementing relational and non-relational databases.
  • Knowledge of data modeling techniques and tools.
Azure Data Services:
  •  Deep understanding and hands-on experience with Azure data services such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, etc.
ETL (Extract, Transform, Load) Processes:
  • Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks.
  • Knowledge of data integration and transformation techniques.
SQL and T-SQL:
  • Proficient in writing complex SQL queries and stored procedures.
  • Familiarity with Transact-SQL (T-SQL) for managing and querying SQL Server databases.
Data Security and Compliance:
  • Knowledge of data security best practices and experience implementing security measures for data storage and processing on Azure.
  • Awareness of compliance requirements and ability to implement solutions that adhere to NC DPI and DIT regulations.
Data Monitoring and Optimization:
  • Ability to set up monitoring and logging for data pipelines and databases.
  • Skills in optimizing data storage and processing for performance and cost-effectiveness.
Scripting and Automation:
  • Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks.
  • Knowledge of Azure Resource Manager (ARM) templates for infrastructure as code.
  • Additionally, obtaining relevant certifications, such as the Microsoft Certified: Azure Data Engineer Associate, can further validate and enhance these skills.
 
Qualifications:
  • Bachelor’s degree in computer science, Engineering, or a related field
  • Proven experience as a data engineer, with a strong focus on data migration, ETL, and data integration.
  • Hands-on experience with data warehousing concepts, database technologies (SQL on Azure)
  • Strong problem-solving skills, attention to detail, and the ability to work effectively in a fast-paced environment.
  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
 
Required/Desired Skills:
  • Proficiency in designing and implementing relational and non-relational databases. - Required - 5 Years
  • Knowledge of data modeling techniques and tools. - Required - 5 Years
  • Hands-on experience with Azure data services such as Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, etc. - Required - 5 Years
  • Expertise in designing and implementing ETL processes using tools like Azure Data Factory or Azure Databricks. - Required - 5 Years
  • Knowledge of data integration and transformation techniques. - Required - 5 Years
  • Proficient in writing complex SQL queries and stored procedures - Required - 5 Years
  • Knowledge of data security best practices and experience implementing security measures for data storage and processing on Azure. - Required - 5 Years
  • Ability to set up monitoring and logging for data pipelines and databases. - Required - 5 Years
  • Skills in optimizing data storage and processing for performance and cost-effectiveness - Required - 5 Years
  • Proficiency in scripting languages like Python or PowerShell for automating data engineering tasks - Required - 5 Years
  • Knowledge of Azure Resource Manager (ARM) templates for infrastructure as code - Required - 5 Years
FHR
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About Focuses HR Solutions

Sourced by ZipRecruiter

Focused HR Solutions is a Certified Women Business Enterprise by WBENC. FHR is a full service staffing firm that assists clients nationwide with supplemental staff for their information technology departments on a contract, contract to hire, and direct hire basis. Our team has extensive experience providing full service staffing needs to small, medium and large clients. Focused HR Solutions provides services to technology-driven clients that include many of the most prominent firms in the United States. Our client base includes State and Local Governments, Software Vendors, top Fortune 500 Companies, as well as companies in the automotive, retail, financial, health care, and telecommunication industries. At Focused HR Solutions, we utilize technology to market our candidate’s skills and fulfill our client’s job assignments guaranteed.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Scottsdale, AZ, US

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