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Senior SQL Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior SQL Developer with 6+ years of experience in SQL development, expertise in SSIS and ETL processes, and strong skills in database design and data warehousing. The contract is remote for 6+ months.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 28, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Security #Data Quality #Database Design #Data Warehouse #Data Integrity #Data Modeling #SQL (Structured Query Language) #SSIS (SQL Server Integration Services) #Databases #Computer Science
Role description
Overview VISTAS is seeking a Senior SQL Developer to join one of our direct clients. Our client is looking for an experienced SQL professional to support their data warehousing and ETL initiatives. Location: Remote (Client based in Scottsdale, AZ) Contract Duration: 6+ months Role Description • As a Senior SQL Developer, you will be responsible for: • Developing and maintaining complex SQL databases • Designing and modeling databases to meet business requirements • Creating, managing, and optimizing ETL processes using SSIS • Applying analytical skills to interpret complex data sets and provide actionable insights • Collaborating with cross-functional teams to ensure data integrity and accessibility • This is a remote contract role with the opportunity to work independently while contributing to a dynamic team. Qualifications • 6+ years of experience in SQL development • Expertise in SSIS and ETL processes • Strong experience with SQL Data Warehousing • Solid skills in Database Design and Data Modeling • Strong analytical and problem-solving skills • Ability to work both independently and collaboratively in a remote environment • Bachelors degree in Computer Science, Information Technology, or a related field Preferred Skills • Experience with large-scale data warehouses and performance tuning • Knowledge of best practices for data quality, security, and governance #J-18808-Ljbffr