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Data Engineer; remote option
Remote / Online - Candidates ideally in
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listed on 2026-05-30
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listing for:
Vitaver & Associates, Inc
Full Time, Remote/Work from Home
position Listed on 2026-05-30
Job specializations:
-
IT/Tech
Data Engineer, Cloud Computing, Database Administrator
Job Description & How to Apply Below
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, Num Py, 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.
- 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.
- 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.
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