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

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111.30K - $133.70K/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 · On-site +1

$111.30K - $133.70K/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

$111.30K - $133.70K/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 ...

NIC MAP

Principal Software Engineer

Raleigh, NC · On-site +1

$165K - $185K/yr

Python proficiency for data engineering and analytics workloads. * Solid database design, query ... Fully remote: work from home; no mandatory time in the office! * Collaborative team: join a ...

Truist

Data Platform Engineer II

Raleigh, NC · On-site +1

$111.30K - $133.70K/yr

Lead small data engineering projects with manageable risks and resource requirements; plays significant roles in larger, more complex initiatives. Requirements * Must have a Bachelor's degree in ...

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 ...

Deloitte

GCP Engineer

Raleigh, NC · On-site +1

The practice helps clients modernize technology and data platforms and apply engineering to mission ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

Contemporaries

Be Seen First

Data Scientist

Durham, NC · Remote

$51 - $58/hr

This is a long-term contract opportunity offering remote work flexibility. We are looking for candidates with strong experience in the R programming language, geospatial/environmental data analysis ...

LexisNexis

Manager Data Science

Raleigh, NC · On-site +1

... for remote locations. ** Are you looking to develop your Data Scientist career? Do you enjoy ... Working closely with other data scientists and engineers to design, develop, and deploy AI ...

Pendo

Sr. Professional Services Engineer Consultant

Raleigh, NC · On-site +1

$80.20K - $106.90K/yr

You will work at the intersection of product, data, and engineering, extending Pendo's capabilities ... This role is based in Raleigh, San Francisco or remote What this looks like day-to-day * Engagement ...

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

The Maven Group, LLC

BigQuery Developer

Raleigh, NC · Remote

Our large client is looking for multiple consultants to join a growing Big Data project. Experience ... All roles will be remote and can be located anywhere in the US (preference to more West Coast)

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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 May 29, 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.

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.

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.

How can I make $2000 a week working from home?

Remote data engineers can earn $2000 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. Achieving this income often requires advanced expertise, certifications, and experience with tools such as AWS or Azure, as well as the ability to handle multiple clients or projects simultaneously.

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
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • Remote

$111.30K - $133.70K/yr

Other

Posted 11 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.
Employment Type: OTHER
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About A.C. Coy Company- Staffing & Consulting Services

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Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Canonsburg, PA, US

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