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ETL Data Engineer

Exclusive opportunity

Onsite

ETL Data Engineer

Galent

ETL Data Engineer

Skills

SQL QueriesPythonpandasAmazon EC2Data AnalysisAWSPySpark

2 days ago

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Important information


Contract type:

Freelance / Contract

Location:

Englewood, CO, USA

Work mode:

Onsite

Published on:

21 October 2026

What they need


Job Title: ETL Data Engineer

Work Location: Englewood, CO (Onsite)

Interview Process- Face to face required- Inperson Interview

Job Details:

Must Have Skills

  • Strong SQL skills with experience in query optimization and performance tuning.
  • Handson experience with Python, Pandas, and PySpark.
  • Proficiency in BashShell scripting for automation.
  • Experience working with AWS (S3, EC2.
  • Solid understanding of data modeling principles and ETL processes

Nice to have skills

  • Experience with largescale data platforms and distributed data processing.
  • Familiarity with data warehousing and cloudnative architectures.

Detailed Job Description

  • Strong SQL skills with experience in query optimization and performance tuning.
  • Handson experience with Python, Pandas, and PySpark.Proficiency in BashShell scripting for automation.
  • Experience working with AWS S3, EC2.Solid understanding of data modeling principles and ETL processes.

Nice to Have Skills

  • Experience with largescale data platforms and distributed data processing.
  • Familiarity with data warehousing and cloudnative architectures.

Job Description

  • We are seeking a Data Engineer with strong expertise in SQL, Python, and cloudbased data processing.
  • The ideal candidate will be responsible for developing, optimizing, and maintaining scalable data pipelines and supporting analytics initiatives.

Key Responsibilities

  • Develop and optimize complex SQL queries, including query tuning and use of window functions.
  • Build and maintain data processing workflows using Python Pandas, PySpark.
  • Create automation scripts using BashShell scripting.
  • Work with AWS services, including S3 and EC2, for data storage and processing.
  • Design and implement efficient data models to support reporting and analytics requirements.

Collaborate with cross functional teams to ensure data quality, performance, and scalability.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. https://www.e-verify.gov/sites/default/files/everify/posters/IER\_RighttoWorkPoster.pdf

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