Smart IT Frame LLC

SAS Engineer / Consultant

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a SAS Engineer / Consultant in Houston, TX (Hybrid) with a contract length of "unknown" and a pay rate of "unknown." Key skills include SAS, SQL, GCP, and data analytics, with a focus on data transformation and reporting.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Complex Queries #Data Integration #SQL (Structured Query Language) #Datasets #Migration #SAS #Data Extraction #Data Quality #Cloud #"ETL (Extract #Transform #Load)" #SQL Queries #Data Migration #GCP (Google Cloud Platform) #Data Manipulation #Data Analysis
Role description
Job Title: SAS Engineer / Consultant Location: Houston, TX Hybrid Job Summary We are seeking a SAS Engineer / Consultant with strong experience in SAS, SQL, GCP, and Data Analytics. The candidate will be responsible for data analysis, SAS development, data transformation, reporting, and supporting cloud-based data solutions on Google Cloud Platform. Key Responsibilities • Develop, maintain, and optimize SAS programs for data analysis and reporting. • Perform data extraction, transformation, validation, and analysis using SAS and SQL. • Work with GCP data platforms and cloud-based analytics solutions. • Analyze large datasets and identify trends, patterns, and data quality issues. • Write complex SQL queries for data extraction and transformation. • Support data migration and integration activities between SAS and GCP environments. • Perform data validation, reconciliation, and quality checks. • Collaborate with business and technical teams to understand requirements and deliver data solutions. • Troubleshoot data and SAS-related issues and provide technical recommendations. • Document data processes, technical solutions, and analysis results. Required Skills • Strong hands-on experience with SAS development and data analysis. • Strong SQL skills with experience in complex queries and data manipulation. • Experience with Google Cloud Platform (GCP). • Strong Data Analytics and data validation experience. • Experience working with large datasets and data warehousing environments. • Understanding of ETL/data integration concepts. • Good analytical, troubleshooting, and communication skills.