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

XTG

Data Engineer

Raleigh, NC · On-site +1

$111K - $133K/yr

This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or ... EDUCATION & EXPERIENCE Bachelor's degree in Computer Science, Information Systems, Data Engineering ...

COMPASS Pathways

HEOR Science Liaison

Raleigh, NC · On-site +1

$63K - $85K/yr

Location: Remote in the United States. Reports to: Director, HEOR. Roles and responsibilities ... Deliver fair-balanced, scientifically rigorous presentations on clinical data, real-world evidence ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... 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 ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... 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 ...

A.C. Coy

Sr. Data Engineer-Databricks SME (Remote)

Raleigh, NC · Remote

$111K - $133K/yr

... 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 ...

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All JobsRemote Data Science JobsRemote Data Science Jobs in Raleigh, NC

Remote Data Science information

See Raleigh, NC salary details

$22.7K

$101K

$192.8K

How much do remote data science jobs pay per year?

As of Jun 24, 2026, the average yearly pay for remote data science in Raleigh, NC is $101,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,195.00 and $140,154.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Scientist, and why are they important?

To thrive as a Remote Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid background in mathematics or computer science, often supported by a relevant degree. Expertise in programming languages such as Python or R, familiarity with machine learning libraries, and experience with cloud-based data platforms are typically required. Excellent communication, self-motivation, and time management skills help you effectively collaborate and deliver results in a remote environment. These skills ensure accurate data analysis, meaningful insights, and successful teamwork despite physical distance.

How do remote data scientists typically collaborate with cross-functional teams to deliver insights?

Remote data scientists often work closely with product managers, engineers, and business analysts using digital collaboration tools such as Slack, Zoom, and project management platforms. Regular virtual meetings, code sharing via Git repositories, and clear documentation are essential to ensure alignment and transparency. While working remotely can present challenges in communication, proactive updates and scheduled syncs help foster strong teamwork and keep projects on track.

What is remote data science?

Remote data science refers to the practice of performing data analysis, modeling, and interpretation tasks from a location outside of a traditional office, such as from home or a co-working space. Remote data scientists use tools like Python, R, and SQL to analyze data, build predictive models, and communicate insights to stakeholders, all while collaborating virtually with their teams. This setup offers flexibility and can increase access to global job opportunities, but also requires strong self-motivation and communication skills to be effective.

Can a data scientist work fully remote?

Yes, many data scientists work fully remote, especially in companies that prioritize flexible work arrangements. Remote data science roles often require strong communication skills, proficiency with collaboration tools, and the ability to work independently on projects using programming languages like Python or R. However, some positions may require occasional in-person meetings or on-site presence depending on company policies.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists will continue to be essential for developing complex algorithms, understanding business context, and ensuring ethical use of AI tools. Skills in programming, statistical analysis, and machine learning remain critical for the profession's evolving landscape.

What Are the Qualifications to Get a Remote Data Science Job?

The qualifications for a remote data scientist depend in large part on your employer and their industry. Most employers expect remote data science professionals to have at least a bachelor’s degree in statistics, math, computer science, or a related field. Some expect postgraduate degrees in a field like data mining or machine learning or demonstrable skills in these areas. As a remote worker, you need access to relevant programs and an internet connection. You may also want to pursue certification, such as becoming a Certified Analytics Professional (CAP).

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

AspectRemote Data ScienceRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills in Python/R; knowledge of machine learningDegree in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves building models and algorithmsData reporting, visualization, and interpreting data trends for decision-making
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, retail, finance, healthcare

Remote Data Science involves developing predictive models and advanced analytics, requiring programming and machine learning skills. Remote Data Analysts focus on interpreting data, creating reports, and visualizations. While both roles analyze data remotely, Data Scientists typically handle more complex modeling tasks, whereas Data Analysts focus on data interpretation and reporting.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.
More about Remote Data Science jobs
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What job categories do people searching Remote Data Science jobs in Raleigh, NC look for? The top searched job categories for Remote Data Science jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Science jobs? Cities near Raleigh, NC with the most Remote Data Science job openings:
Remote Data Science jobs near you
Infographic showing various Remote Data Science job openings in Raleigh, NC as of June 2026, with employment types broken down into 2% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $101,046 per year, or $48.6 per hour.

Data Engineer

XTG

Raleigh, NC • On-site, Remote

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

The Data Engineer role is responsible for designing, building, and maintaining scalable data pipelines, integrations, and data models that support enterprise reporting, analytics, data migration, and operational decision-making. This role works within established architectural frameworks while contributing to the continued modernization of XTG’s data platform. This role plays a key part in supporting the organization’s transition to modern cloud-based data platforms, including Microsoft Fabric, Power BI, Azure DevOps, and Dynamics 365 data integration initiatives.

The Exponential Technology Group (XTG) is a specialist in the electronic component distribution and design engineering services industries.  XTG is part of the TTI Family of Companies. This opportunity is remote with the ideal candidate being located in DFW, Phoenix, Atlanta or Raleigh-Durham

ACCOUNTABILITIES: 

Design, develop, test, and maintain data pipelines, dataflows, notebooks, and integration processes across enterprise systems.

Build and support data ingestion frameworks using Microsoft Fabric, Lakehouse/Warehouse architecture, SQL, and cloud-based data engineering patterns.

Develop and maintain Bronze, Silver, and Gold layer data structures to support reporting, analytics, and downstream business processes.

Create scalable ETL/ELT processes to extract, cleanse, transform, and load data from ERP, CRM, operational, and third-party systems.

Partner with business stakeholders, analysts, and application teams to clarify data requirements and translate them into technical solutions.
Support data migration and integration efforts related to Dynamics 365 and other enterprise platform initiatives.
Develop and maintain SQL queries, stored procedures, views, data models, and transformation logic.
Implement data quality checks, validation rules, logging, error handling, and monitoring within data pipelines.
Troubleshoot and resolve issues related to data accuracy, pipeline failures, source system changes, performance, and integration errors.
Contribute to data architecture, governance, naming standards, documentation, and reusable engineering patterns.
Use Azure DevOps, Git, branching strategies, and CI/CD practices to manage source control and deployment of data engineering assets.
Collaborate with reporting and analytics teams to support Power BI semantic models, dashboards, and enterprise reporting needs.
Provide guidance and support to junior team members, analysts, or business users as needed.
Continuously expand technical knowledge across Microsoft Fabric, Azure, Power BI, Dynamics 365, and modern data engineering practices.
Additional duties as assigned.

 

EDUCATION & EXPERIENCE

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or equivalent professional experience.

4+ years of professional experience in data engineering, business intelligence, analytics engineering, or enterprise data integration.

Experience building and maintaining data pipelines, ETL/ELT processes, data warehouses, lakehouses, or cloud-based analytics platforms.

Experience working with enterprise systems such as ERP, CRM, financial, operational, or supply chain platforms preferred.

Experience supporting data migration, system integration, or enterprise reporting initiatives preferred.

SKILLS & CERTIFICATIONS

  • Strong SQL development skills, including query optimization, joins, aggregations, views, stored procedures, and data validation logic.
  • Hands-on experience with Microsoft Fabric, Azure Synapse, Azure Data Factory, Databricks, or similar cloud data platforms.
  • Working knowledge of Power BI, semantic models, data modeling, and reporting data structures.
  • Ability to work independently on complex technical tasks while collaborating with business and technical stakeholders.
  • Strong documentation skills, including technical designs, data mappings, source-to-target logic, and operational procedures.
  • Exposure to or interest in AI-assisted development, automation, metadata-driven frameworks, or agentic AI tooling.
  • Microsoft certifications related to Fabric, Azure Data Engineering, Power BI, or Data Fundamentals preferred but not required.

What we offer our team members: 

  • A great benefits package that includes (but is not limited to): Medical/ Dental/ Vision, 401(k)/Roth plan with matching, Healthcare Savings Accounts.
    Educational Assistance (Tuition Reimbursement).
  • Ongoing training throughout your employment with opportunities to participate in professional and personal development programs.
  • A strong focus on giving back to our communities through philanthropic opportunities.
  • Great culture and opportunities for growth and advancement.

This is a summary of the primary accountabilities and requirements for this position.  The company reserves the right to modify or amend accountabilities and requirements at any time at its sole discretion based on business needs.  Any part of this job descriptions is subject to possible modification to reasonably accommodate individuals with disabilities. 

This position requires use of information or access to hardware which is subject to the International Traffic in Arms Regulations (ITAR). To perform the position, you must be a U.S. Person as defined by ITAR. ITAR defines a U.S. person as a U.S. Citizen, U.S. Permanent Resident (i.e. ‘Green Card Holder’), Political Asylee, or Refugee.

Visa sponsorship is not available for this role.  Only candidates authorized to work in the United States will be considered. 

 XTG is an Equal Opportunity Employer, and we support protected veterans and individuals with disabilities through our affirmative action program.

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