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Remote Research Data Collector Jobs in Raleigh, NC

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

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

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

IQVIA, Inc.

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 ...

LexisNexis

Director, Data Sciences

Raleigh, NC · On-site +1

... 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 ...

Icon plc

Senior Clinical Research Associate

Cary, NC · Remote

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 ...

Hitachi

Power System Consultant

Raleigh, NC · On-site +1

Engineering & Science Job Schedule: Full time Remote: No The opportunity Kickstart your career in ... Contribute to research, data analysis, and continuous improvement initiatives * Learn and apply ...

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Remote Research Data Collector information

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

As of Jun 27, 2026, the average hourly pay for remote research data collector in Raleigh, NC is $19.64, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $23.37 per hour, depending on experience, location, and employer.

What is a Remote Research Data Collector?

A Remote Research Data Collector is a professional who gathers, organizes, and analyzes data for research projects while working from a remote location. Their responsibilities typically include collecting data through surveys, interviews, or online databases, ensuring the accuracy and integrity of the information, and sometimes assisting with data entry and reporting. This role is commonly used in academic, scientific, marketing, and business research settings, allowing organizations to collect valuable data without requiring staff to be physically present. Remote Data Collectors must have strong attention to detail, good organizational skills, and proficiency with digital tools used for data gathering and management.

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

To thrive as a Remote Research Data Collector, you need strong analytical skills, attention to detail, and proficiency in data collection methodologies, often supported by a relevant degree or research experience. Familiarity with survey tools, spreadsheet software like Excel, and data management platforms is typically required. Excellent time management, self-motivation, and clear written communication set top performers apart in remote environments. These skills are crucial for ensuring the accuracy, reliability, and integrity of research data collected independently.

How do Remote Research Data Collectors typically collaborate with research teams when working from different locations?

Remote Research Data Collectors often use digital tools such as shared databases, communication platforms, and project management software to stay connected with research teams. Regular virtual meetings and clear documentation are essential to ensure everyone is aligned on project objectives and data quality standards. Despite working independently, frequent updates and feedback from supervisors or team leads help maintain consistency and address any challenges promptly. This structure allows for flexibility while still fostering strong collaboration and accountability.
What are popular job titles related to Remote Research Data Collector jobs in Raleigh, NC? For Remote Research Data Collector jobs in Raleigh, NC, the most frequently searched job titles are:
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What cities near Raleigh, NC are hiring for Remote Research Data Collector jobs? Cities near Raleigh, NC with the most Remote Research Data Collector job openings:
Remote Research Data Collector jobs near you
Sr. Data Engineer-Databricks SME (Remote)

Sr. Data Engineer-Databricks SME (Remote)

A.C. Coy

Raleigh, NC • Remote

$111K - $133K/yr

Contractor

Posted 20 days ago

Job description

  • 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.

  • 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.

  • 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.
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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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