Jobs via Dice
Data Engineer - Google Cloud Platform/Python - W2 - - Contract - Hartford- CT
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Hartford, CT, on a long-term W2 contract, requiring 8+ years of IT experience, proficiency in Python and SQL, and expertise in Google Cloud Platform services. Google Cloud certifications are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 4, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
East Hartford, CT
-
🧠 - Skills detailed
#BigQuery #Storage #Cloud #Python #Scripting #GCP (Google Cloud Platform) #Data Engineering #Data Pipeline #Scala #"ETL (Extract #Transform #Load)" #Dataflow #SQL (Structured Query Language) #API (Application Programming Interface) #Agile
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechVirtue LLC, is seeking the following. Apply via Dice today!
Role: Data Engineer (With Sql, Python, Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer))
Location: Hartford, CT
Duration: long term – W2
Required
• At least 8+ years of Information Technology experience
• Proficiency in Python AND SQL is highly desirable.
• Experience working in an agile environment.
• Strong knowledge of ETL tools and processes.
• Expertise in Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer)
• Strong communication and Analytical skills
• All applicants authorized to work in the United States are encouraged to apply.
Preferred Qualifications:
• Min 2 years of experience in Google Cloud platform (especially BigQuery & DataFlow)
• Experience with Python, SQL and Google Cloud SDK & API Scripting.
• Google Cloud Platform certifications (e.g., Google Cloud Professional Data Engineer) considered a plus.
• Capable of designing scalable and efficient data pipelines to extract, transform and load data from various sources into BQ
• Strong hands-on experience on Python.
• Excellent problem-solving and analytical skills.
• Excellent Communication, collaboration and presentation skills.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, TechVirtue LLC, is seeking the following. Apply via Dice today!
Role: Data Engineer (With Sql, Python, Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer))
Location: Hartford, CT
Duration: long term – W2
Required
• At least 8+ years of Information Technology experience
• Proficiency in Python AND SQL is highly desirable.
• Experience working in an agile environment.
• Strong knowledge of ETL tools and processes.
• Expertise in Google Cloud Platform services (BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer)
• Strong communication and Analytical skills
• All applicants authorized to work in the United States are encouraged to apply.
Preferred Qualifications:
• Min 2 years of experience in Google Cloud platform (especially BigQuery & DataFlow)
• Experience with Python, SQL and Google Cloud SDK & API Scripting.
• Google Cloud Platform certifications (e.g., Google Cloud Professional Data Engineer) considered a plus.
• Capable of designing scalable and efficient data pipelines to extract, transform and load data from various sources into BQ
• Strong hands-on experience on Python.
• Excellent problem-solving and analytical skills.
• Excellent Communication, collaboration and presentation skills.
