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Remote Data Engineering Jobs in Raleigh, NC (NOW HIRING)

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · On-site +1

$111K - $133K/yr

... data environment into Databricks. * This remote contract-to-hire position will be originated in ... Possesses skills and experience related to business management, systems engineering, operations ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... data environment into Databricks. * This remote contract-to-hire position will be originated in ... Possesses skills and experience related to business management, systems engineering, operations ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... data environment into Databricks. * This remote contract-to-hire position will be originated in ... Possesses skills and experience related to business management, systems engineering, operations ...

Troutman Pepper

Senior Data Engineer

Raleigh, NC · Remote

$103K - $140K/yr

Strong SQL and data engineering skills. * Hands-on experience with Azure, APIs, Microsoft Fabric ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Cigna

Data Science Director - Remote

Raleigh, NC · On-site +1

As the Data Science Director for Pricing & Underwriting, you will lead high-impact teams that build ... Provide technical leadership across machine learning, statistical modeling, feature engineering ...

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 ...

Redhat

Principal Data Engineer

Raleigh, NC · On-site +1

$137K - $203K/yr

S. or foreign equivalent) in Computer Engineering, Computer Science or related field and five (5) ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

Berriehill Research

Senior AI Technologist

Raleigh, NC · On-site +1

$48.75 - $63/hr

Bachelor's degree in computer science, Data Engineering, Information Systems, Engineering ... This position may be performed fully remote, hybrid, or onsite at an ARA office. Preference will be ...

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All JobsData Engineering JobsRemote Data Engineering JobsRemote Data Engineering Jobs in Raleigh, NC

Remote Data Engineering information

See Raleigh, NC salary details

$43.3K

$126.1K

$172.5K

How much do remote data engineering jobs pay per year?

As of Jul 13, 2026, the average yearly pay for remote data engineering in Raleigh, NC is $126,095.00, 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.

Can I work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require skills in cloud platforms, programming, and data pipeline tools, and may involve collaboration through online communication tools.

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

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

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 (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives.

How to make $1000 a week remote?

Remote data engineers can earn $1000 or more per week by working on high-demand projects, leveraging specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL. Building a strong portfolio, obtaining relevant certifications, and working with multiple clients or on freelance platforms can help increase weekly income. Consistent remote work and advanced expertise are key to reaching this earning level.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical for managing data workflows effectively.

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

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Raleigh, NC? The most popular types of Data Engineering jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Engineering jobs in Raleigh, NC? For Remote Data Engineering jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineering jobs in Raleigh, NC look for? The top searched job categories for Remote Data Engineering jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Engineering jobs? Cities near Raleigh, NC with the most Remote Data Engineering job openings:
Remote Data Engineering jobs near you
Infographic showing various Remote Data Engineering job openings in Raleigh, NC as of July 2026, with employment types broken down into 71% Full Time, 17% Part Time, and 12% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,095 per year, or $60.6 per hour.
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Other

Re-posted 6 days ago

Job description

Overview
  • Tier One Technologies is seeking a Data Engineer to support our US Government client with data ingestion, data deduplication and data tagging for migration of a large-scale data environment into Databricks.
  • This remote contract-to-hire position will be originated in Raleigh, NC.
  • SELECTED CANDIDATES WITHOUT REQUIRED CLEARANCE WILL BE SUBJECT TO A FEDERAL GOVERNMENT BACKGROUND INVESTIGATION TO RECEIVE IT.

Responsibilities
  • Design, develop, and maintain scalable data ingestion pipelines to onboard structured, semi-structured, and unstructured data from batch and streaming sources (e.g., APIs, databases, flat files, message queues) into the Azure/Databricks environment.
  • Implement de-duplication strategies across large-scale datasets using deterministic and probabilistic matching techniques to ensure data integrity and reduce redundancy within the Data Lake.
  • Develop and enforce data tagging frameworks to classify, label, and annotate datasets with appropriate metadata (e.g., sensitivity, source, domain, lineage) to support data governance, discoverability, and compliance requirements.
  • Assist with Operationalizing deployments and support of Cloud services for ETL Operations. This will include standardizing and automating processes and workflows, creating documentation/knowledge articles, and overall assisting Operations staff who have limited experience in Cloud.
  • Written and oral presentations to high-level CIO management on status of current efforts.
  • Possesses skills and experience related to business management, systems engineering, operations research, and management engineering. Typically has specialization in a particular technology or business application. Keeps abreast of technological developments and industry trends.
  • Assist with deployment, configuration, and management of Azure Cloud environment.
  • Assist with migration efforts of existing ETL jobs into Azure/Databricks cloud environment.
  • Ability to share optimization and efficiencies with the larger team and management.
  • Ability to automate solutions to repetitive problems/tasks.

Qualifications
  • A degree from an accredited College/University in the applicable field of services is required. If the degree is not in the applicable field, then four additional years of related experience is required.
  • 13+ years of overall IT experience.
  • 5+ years demonstrated experience designing and implementing data ingestion pipelines using tools such as Azure Data Factory, Apache Kafka, Apache NiFi, Spark Structured Streaming, or equivalent technologies.
  • 5+ years of experience applying de-duplication techniques at scale, including record linkage, fuzzy matching, and entity resolution across structured and unstructured datasets.
  • 5+ years of hands-on experience with data tagging and metadata management, including the use of tagging schemas, data catalogs (e.g., Azure Purview, Apache Atlas), and automated classification tools to support data governance and lineage tracking.
  • 5+ years of demonstrated experience working with unstructured data.
  • 2+ years of experience in using Databricks or other Spark-based platforms.
  • Fluency in at least one scripting language (Python, Perl, Ruby, or equivalent).
  • Experience with one or more of the following products and technologies: SAS, C++, Hadoop, SQL Database/Coding, Teradata, Oracle, Amazon S3, Apache Spark, Machine Learning, Natural Language Processing, and visualization tools such as Tableau, Strategy and QLIK is a plus.
  • Integration of Git in continuous deployment and experience with DevOps monitoring tools is a plus.
  • Familiarity with Cloud Operations support in Azure is a plus.
  • Excellent communication skills.
  • Must be able to obtain a Position of Public Trust Clearance.
  • Must be a US Citizen or have US Permanent Residence status (Green Card).
  • Must have resided in the US for the last 5 years and not have traveled outside the US for a combined total of 6 months or more in last 5 years.
A.C. Coy Company- Staffing & Consulting Services logo

About A.C. Coy Company- Staffing & Consulting Services

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Since 1986, our mission is to be the “Always on Target” staffing and consulting provider by helping people and companies achieve their hiring goals. The team is dedicated to achieving these goals by attracting and retaining top talent that meets our clients’ culture and environment. We are fully engaged with our people and companies through ongoing communication to ensure expectations are met.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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