Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position based in Westlake, TX, for a contract length of "unknown." Pay rate is "unknown." Required skills include PL/SQL, database experience (Oracle, PostgreSQL, MS SQL Server), ETL (Informatica), and cloud familiarity (Azure).
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 19, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Dallas-Fort Worth Metroplex
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🧠 - Skills detailed
#Snowflake #Computer Science #Data Engineering #Cloud #Data Modeling #SQL Server #Databases #"ETL (Extract #Transform #Load)" #MS SQL (Microsoft SQL Server) #Informatica #Data Warehouse #SQL (Structured Query Language) #Oracle #Azure #Deployment #PostgreSQL #Data Analysis
Role description
ONLY W2 NO C2C We are currently sourcing a Data Engineer to work at our client's location in Westlake, TX. Required Qualifications β€’ Bachelor’s or Master's degree in Computer Science Engineering β€’ 6-8 years of strong database development experience (PL/SQL). β€’ 6-8 years of experience with Databases (Oracle, PostgreSQL, MS SQL Server). β€’ Hands-on experience with data warehouse solutions like Exadata β€’ Proven expertise in data analysis and modeling. β€’ Hands-on experience with ETL technologies (Informatica preferred). β€’ Familiarity with cloud platforms (Azure). β€’ Strong understanding of CI/CD pipelines and tools. β€’ Excellent problem-solving, communication, and presentation skills. Key Responsibilities β€’ Design, develop, and optimize complex database solutions using PL/SQL and modern RMDS platforms. β€’ Lead data modeling, analysis, and integration efforts across Snowflake, Oracle, PostgreSQL, and MS SQL Server. β€’ Design and implement ETL workflows using tools like Informatica. β€’ Champion CI/CD practices to streamline deployment and integration processes. β€’ Collaborate with product and technology teams to gather requirements and make informed design decisions. β€’ Mentor and guide junior data engineers, fostering a culture of technical excellence. β€’ Manage multiple projects simultaneously, ensuring timely and high-quality delivery.