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Remote Intern Data Research Jobs in Raleigh, NC (NOW HIRING)

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 ... research, and management engineering. Typically has specialization in a particular technology or ...

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 ... research, and management engineering. Typically has specialization in a particular technology or ...

Data Security Architect (Remote)

Durham, NC · On-site +1

$61.50 - $79.25/hr

As a data-driven global life sciences company, IQVIA manages one of the world's most complex and sensitive healthcare data estates - spanning clinical research, real-world evidence, commercial ...

... remote locations. ** About our Team : LexisNexis Legal & Professional, serving customers in over ... Advanced Research Direction : Direct cutting-edge research initiatives in NLP, LLMs, and other ...

Collaborating with cross-functional teams to ensure timely and accurate data collection and ... Willingness to travel as required (approximately 60%) #LI-LB1 #LI-REMOTE Employment with ICON is ...

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Remote Intern Data Research information

See Raleigh, NC salary details

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How much do remote intern data research jobs pay per hour?

As of Jul 1, 2026, the average hourly pay for remote intern data research in Raleigh, NC is $21.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $23.85 per hour, depending on experience, location, and employer.

What is the difference between Remote Intern Data Research vs Remote Data Analyst Intern?

AspectRemote Intern Data ResearchRemote Data Analyst Intern
CredentialsBasic knowledge of data collection, research methods, and toolsBasic understanding of data analysis, Excel, and statistical concepts
Work EnvironmentPrimarily remote, often part-time or internship-basedPrimarily remote, often part-time or internship-based
Employer & IndustryResearch firms, market research companies, or data-driven organizationsTech companies, finance, marketing agencies, or consulting firms
Search & Comparison IntentUnderstanding research-focused internship rolesUnderstanding data analysis internship roles

Remote Intern Data Research and Remote Data Analyst Intern roles often share similar remote work environments and internship structures. However, Data Research focuses on gathering and analyzing data through research methods, while Data Analyst roles emphasize analyzing existing data sets using statistical tools. Both roles serve different functions within data-driven organizations but may overlap in skills and industry usage.

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

To thrive as a Remote Intern Data Researcher, you need strong analytical abilities, attention to detail, and foundational knowledge in data collection and analysis, often supported by coursework in statistics or related fields. Familiarity with tools such as Microsoft Excel, Google Sheets, and data visualization platforms like Tableau, as well as basic programming knowledge in Python or R, is typically required. Effective communication, self-motivation, and time management are important soft skills for collaborating remotely and meeting deadlines. These skills ensure accurate data handling, meaningful insights, and efficient remote teamwork in a research-focused environment.

What is a Remote Intern Data Research position?

A Remote Intern Data Research position involves working from a remote location to assist companies or organizations in collecting, analyzing, and interpreting data. Interns in this role typically support research projects by gathering information from various sources, cleaning and organizing datasets, and presenting findings in reports or presentations. This position helps interns gain valuable experience in data analysis tools and research methodologies, all while collaborating with teams virtually. It is ideal for students or recent graduates interested in data science, analytics, or research careers.

What are some common challenges faced by Remote Interns in Data Research, and how can they be addressed?

Remote Interns in Data Research often face challenges such as limited face-to-face interaction with mentors, coordinating across different time zones, and maintaining clear communication about project goals. To overcome these, it's important to proactively schedule regular virtual check-ins, use collaborative tools (like Slack, Trello, or Google Workspace), and clarify expectations early on. Building a habit of documenting progress and asking for feedback can also help ensure alignment with the team and foster a supportive remote work environment.
What cities near Raleigh, NC are hiring for Remote Intern Data Research jobs? Cities near Raleigh, NC with the most Remote Intern Data Research job openings:
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • Remote

$111K - $133K/yr

Other

Posted 10 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

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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