Oreva Technologies, Inc.

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Charlotte, NC, for 12 months at a competitive pay rate. Key skills include 5+ years in data engineering, expert SQL, Python, AWS, and Power BI development. Hybrid work arrangement.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Airflow #Complex Queries #S3 (Amazon Simple Storage Service) #Data Quality #"ETL (Extract #Transform #Load)" #Data Modeling #Data Orchestration #AWS (Amazon Web Services) #Data Architecture #BI (Business Intelligence) #Deployment #GitHub #SQL (Structured Query Language) #dbt (data build tool) #Power Automate #Data Migration #Python #Microsoft Power BI #Data Pipeline #Redshift #Automation #Cloud #Programming #DAX #Migration #Data Engineering #Version Control
Role description
Senior Data Engineer Charlotte, NC – hybrid onsite 12 months Required skills: • 5+ years of professional experience in data engineering, business intelligence, or analytics • Expert-level SQL skills (complex queries, window functions, CTEs, query optimization, stored procedures) • Python programming for data engineering, automation, and analytics • Data orchestration tools (Dagster strongly preferred; Airflow, Prefect, or similar also acceptable) • AWS experience including S3, Redshift, and cloud data architectures • Power BI development with advanced DAX, data modeling, and performance optimization • GitHub for version control, code collaboration, and repository management • Data pipeline development from source systems to analytics platforms • Strong understanding of data warehousing concepts, dimensional modeling, and ETL/ELT patterns Highly Desired Skills (NOT REQUIRED) • Power Platform (Power Apps, Power Automate) development experience • Experience with ISU (Industry Solution for Utilities) or utility industry data • AWS Redshift migration or cloud data migration projects • Data quality frameworks and automated validation/testing • CI/CD pipelines for data and BI deployments • dbt (data build tool) for transformation workflows DETAILS NEEDED Please provide years of experience • Data Engineering • BI/Business Intelligence • SQL – advanced level • Python • Data Orchestration • AWS • PowerBI development • GitHub • Data pipeline development • ETL/ELT patterns