Vation Ventures

Sr. Data Engineer Contractor

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer Contractor, with a contract length of 3 months (possible extension). Pay rate is competitive. Key skills required include Databricks on AWS, ETL processes, data modeling, and data warehousing experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 20, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Consulting #Databricks #Data Modeling #Data Engineering #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Computer Science #Scala
Role description
Contract Data Engineer – 3 months Contract to Hire Company Description At Vation Ventures, we empower forward-thinking leaders to innovate with access to leading technologies, strategic tools, and a unique global ecosystem. Our services include a cutting-edge research platform for sourcing transformative technologies, tailored innovation consulting, and strong connections within a global community of CXOs, venture capitalists, and entrepreneurs. Trusted by Fortune 500 companies, start-ups, VCs, and channel partners, we help accelerate investment, enhance business operations, and drive impactful outcomes. Role Description This is a contract role for a Sr. Data Engineer based in the USA. The Sr. Data Engineer will design, build, and maintain robust data engineering pipelines to support business needs. Responsibilities include developing scalable data models, implementing Extract, Transform, Load (ETL) processes, managing data warehousing solutions, and ensuring high-quality and reliable data analytics processes for insightful business decisions. Collaboration with cross-functional teams is a key aspect of this role. Qualifications • Highly skilled in Databricks on AWS • Proficiency in Data Engineering techniques and best practices • Experience with Data Modeling and implementing scalable and efficient data structures • Expertise in Extract, Transform, Load (ETL) processes and tools • Knowledge of Data Warehousing concepts, design, and maintenance • Strong skills in Data Analytics and deriving actionable insights from raw data • Excellent problem-solving and critical-thinking abilities • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field • Prior experience in a data engineering or related role is preferred