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Remote Data Mapping Jobs in Oklahoma (NOW HIRING)

Business Solutions Analyst III - Remote

Kansas, OK · Remote

$34.75 - $48/hr

... maps, considering system flows and data streams. * With some leadership support, manage the ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Business Analyst

Oklahoma City, OK · On-site +1

$68K - $82.30K/yr

... turn data into clear insights, and present actionable recommendations to leadership. The ideal ... Remote location with occasional travel will be considered as well. What You Will Do: As a key ...

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Remote Data Mapping information

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

AspectRemote Data MappingRemote Data Analyst
Required CredentialsData mapping certifications, data management skillsData analysis certifications, statistical skills
Work EnvironmentPrimarily technical, focusing on data structure and integrationAnalytical, interpreting data to generate insights
Employer & Industry UsageTech companies, data integration firmsBusiness, finance, marketing sectors
Common Search & ComparisonYesYes

Remote Data Mapping involves structuring and linking data sources, focusing on technical data organization. Remote Data Analysts interpret data to provide insights, often using statistical tools. While both roles work remotely and require data-related skills, Data Mapping emphasizes technical data structuring, whereas Data Analysis centers on data interpretation and reporting.

What are popular job titles related to Remote Data Mapping jobs in Oklahoma? For Remote Data Mapping jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Remote Data Mapping jobs in Oklahoma look for? The top searched job categories for Remote Data Mapping jobs in Oklahoma are:
What cities in Oklahoma are hiring for Remote Data Mapping jobs? Cities in Oklahoma with the most Remote Data Mapping job openings:
Infographic showing various Remote Data Mapping job openings in Oklahoma as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 1% Part Time, and 4% Contract. Highlights an 33% Physical, 2% Hybrid, and 65% Remote job distribution.
Data Engineer (remote option)

Data Engineer (remote option)

Vitaver & Associates, Inc.

Oklahoma City, OK • Remote

Full-time

Posted 21 days ago


Job description

14599 - Data Engineer (remote option) – Oklahoma City, OK
Start Date: ASAP
Type: Temporary Project
Estimated Duration: 6-12 months with possible extensions
Work Setting: remote option. Travel quarterly to office
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Required:
  • Hands-on Data Engineering experience (5+ years);
  • Experience with SQL including correlated subqueries and window functions;
  • Experience with cloud platforms (GCP Big Query) including query performance optimization with partitioning strategies;
  • Experience with Python for data pipeline development, automation, and API integration including pandas, NumPy, and SQL Alchemy;
  • Experience with ETL transformation tools such as Azure Data Factory, GCP Dataproc, Dataflow, SSIS, and dbt;
  • Experience with orchestration tools;
  • Experience with REST APIs for data ingestion and system interoperability;
  • Experience with version control (Git);
  • Experience with R for statistical analysis and data manipulation;
  • Experience with Python ML Libraries.

Preferred:
  • Experience in a HIPAA-regulated environment with data privacy and security requirements;
  • Experience with standards-based health data exchange (HL7 v2/v3, FHIR);
  • Experience with cell suppression and statistical disclosure logic within SQL for public-facing health data outputs;
  • Experience with SAS;
  • Bachelor's degree in Computer Science, Engineering, Data Engineering, or related field.

Responsibilities include but are not limited to the following:
  • Design, implement, and maintain ELT/ETL pipelines across cloud platforms (Azure, GCP, AWS);
  • Architect and modernize data acquisition and ingestion pipelines for large-scale healthcare data;
  • Implement and manage data storage solutions (data lakes, warehouses) utilizing appropriate partitioning, security, and lifecycle policies;
  • Plan and execute data migrations across platforms including schema mapping, data validation, and cutover coordination;
  • Design and architect schemas to support migration of transactional database structures to data warehouse environments including dimensional modeling;
  • Evaluate and integrate new and emerging data sources, link datasets across systems, and develop processes to support novel data types;
  • Document data architectures, lineage, and standards and provide technical guidance and mentorship.