TechnoSphere, Inc.

Contract Role: Data Engineer – Cloud & Snowflake_ Orlando, FL (On-site)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a contract Data Engineer position in Orlando, FL, requiring a Master's degree and 5+ years of experience in data engineering. Key skills include Python, SQL, Snowflake, AWS, and data visualization tools. On-site work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Orlando, FL
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🧠 - Skills detailed
#Plotly #Matplotlib #AWS (Amazon Web Services) #Scrum #Shell Scripting #SciPy #BI (Business Intelligence) #AWS S3 (Amazon Simple Storage Service) #Unit Testing #"ETL (Extract #Transform #Load)" #NumPy #Logistic Regression #Scripting #Visualization #Data Science #SnowSQL #Tableau #S3 (Amazon Simple Storage Service) #Regression #Code Reviews #Data Engineering #Agile #Snowflake #ML (Machine Learning) #Cloud #SQL (Structured Query Language) #Computer Science #Unix #Python #EC2 #Pandas #Linux
Role description
Job Title: Data Engineer – Cloud & Snowflake Location: Orlando, FL (On-site) Job Type: Contract Data Engineer to design, build, and optimize large-scale data infrastructure supporting marketing analytics, advertising intelligence, and cross-functional data initiatives. This role sits at the intersection of data engineering and business intelligence, enabling the company's marketing and data science teams to make faster, smarter, and more reliable decisions at scale. Required Qualifications Education • Master's degree in Data Science, Computer Science, Engineering, or related quantitative field • Bachelor's degree in Technology, Engineering, or equivalent Experience • 5+ years of professional experience in data engineering, data science, or related roles • Demonstrated experience in designing and deploying ETL/ELT pipelines at scale • Experience working in cross-functional enterprise environments with marketing, analytics, or client-facing teams Technical Skills • Languages: Python (NumPy, Pandas, SciPy), SQL, Snow-SQL • Cloud & Data Warehousing: AWS (S3, EC2), Snowflake, Hive • Operating Systems: Linux/Unix — proficient with terminal commands, shell scripting, environment configuration, and job management • Data Visualization: Tableau, Matplotlib, Seaborn, Plotly • ML & Analytics: XGBoost, CatBoost, Logistic Regression, ARIMA/SARIMA, Prophet • Methodology: Agile / Scrum, OKRs, code reviews, unit testing Thanks and Regards NANI Email: Nani.venu@technosphere.com