Data Engineer

Compunnel Inc.; Town of Texas (WI); Hybrid; USD 90,000 - 120,000; Full time

Job summary

An IT Services provider is seeking an IT Recruiter to manage staffing requirements for a contract role. Candidates should have a Bachelor's degree in STEM and experience in data engineering or analysis. Proficiency in Python, SQL, and familiarity with Google Cloud Platform is crucial. Strong communication skills are required, and prior experience in the utility or energy industry is a plus. The position will be onsite or hybrid in Texas.

Qualifications

• Minimum 2 years of experience in data engineering, ETL, or data analysis roles delivering production-ready data pipelines.
• Hands-on experience with Google Cloud Platform (GCP) and BigQuery.
• Strong problem-solving and analytical abilities.
• Knowledge of data modeling concepts and tools.

Skills

Python

SQL

Data modeling

Data engineering

ETL

Data analysis

Cloud (GCP)

Education

Bachelor’s degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, or related STEM field

GCP or Cloud-related certifications

Tools

Google Cloud Platform (GCP)

BigQuery

Job description

IT Recruiter, USA Staffing at Compunnel Inc.

Location: Houston, TX (Onsite/Hybrid as required)

Duration: Long-Term Contract

Required Qualifications

Level 2 (Intermediate):

• Bachelor’s degree in Data Science, Analytics, Mathematics, Statistics, Computer Science, or related STEM field.
• Minimum 2 years of experience in data engineering, ETL, or data analysis roles delivering production-ready data pipelines.
• Proficiency in Python and SQL with hands‑on experience building and optimizing data pipelines.
• Strong understanding of data modeling concepts and tools.

Level 3 (Senior):

• Minimum 5 years of experience in data engineering, ETL, or data analysis roles.
• Hands‑on experience with Google Cloud Platform (GCP) and BigQuery.
• Advanced proficiency in Python and SQL for large‑scale data processing.
• Solid understanding of data modeling, data architecture, and data pipeline optimization.

Soft Skills

• Excellent communication, collaboration, and interpersonal skills.
• Strong problem‑solving and analytical abilities.
• Ability to present complex technical information to non‑technical audiences.
• Strong sense of ownership, initiative, and continuous learning.

Nice-to-Have Skills

• Experience in the utility or energy industry.
• Knowledge of data governance frameworks and practices.
• Experience working in Agile/Scrum environments.

Education & Certifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, or related field (required).
• GCP or Cloud‑related certifications (preferred).

Seniority Level

Mid‑Senior level

Employment Type

Contract

Industry

IT Services and IT Consulting