Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Texas, offering a full-time, on-site position for over 6 months at a competitive pay rate. Requires strong SQL and Python skills, AWS cloud experience, and 5+ years in data engineering or related fields.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
August 23, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Lewisville, TX
-
🧠 - Skills detailed
#Python #Cloud #Azure #SQL (Structured Query Language) #Data Pipeline #Data Science #Data Engineering #Programming #AWS (Amazon Web Services) #BI (Business Intelligence)
Role description
Onsite Data Engineer
Full-time, on-site role in Texas.
Position
• Support data pipelines and integration of multiple data sources.
• Collaborate with data scientists for analysis.
• Manage noisy data with inconsistent values across sources.
• Develop APIs to share data internally and externally (e.g., with customers).
• Work mainly with Python ; other languages may be acceptable.
• Primarily use AWS cloud ; some Azure experience is a plus.
Skills & Qualifications:
• Strong SQL skills.
• Python programming preferred.
• Cloud experience, especially AWS .
• Experience building and managing data pipelines .
• Ability to understand business context and data meaning .
• Flexible and adaptable to new technologies.
• 5+ years experience preferred, with openness to candidates from related fields ( software engineering , business intelligence ) who can ramp up.
Education:
• Bachelor's degree or higher required.
Onsite Data Engineer
Full-time, on-site role in Texas.
Position
• Support data pipelines and integration of multiple data sources.
• Collaborate with data scientists for analysis.
• Manage noisy data with inconsistent values across sources.
• Develop APIs to share data internally and externally (e.g., with customers).
• Work mainly with Python ; other languages may be acceptable.
• Primarily use AWS cloud ; some Azure experience is a plus.
Skills & Qualifications:
• Strong SQL skills.
• Python programming preferred.
• Cloud experience, especially AWS .
• Experience building and managing data pipelines .
• Ability to understand business context and data meaning .
• Flexible and adaptable to new technologies.
• 5+ years experience preferred, with openness to candidates from related fields ( software engineering , business intelligence ) who can ramp up.
Education:
• Bachelor's degree or higher required.
