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INTL- Junior Data Engineer; Colombia)

Job in Grand Prairie, Dallas County, Texas, 75050, USA
Listing for: Insight Global
Full Time position
Listed on 2026-09-08
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 55000 - 75000 USD Yearly USD 55000.00 75000.00 YEAR
Job Description & How to Apply Below
Position: INTL- Junior Data Engineer (Colombia)

Job Description

A client is looking for a junior data analyst to sit remote. Your primary responsbility initially will be to support ongoing data engineering efforts around data pipelines and data cleansing. The team is pulling data from multiple field sources and attempting to cleanse, process, and evaluate the data to get a better pulse on store operations/ sales data. In addition, you will also be assisting with building these data solutions related to ETL, data pipelines, and data models.

You will also partner with other data teams to optimize processes and streamline enhancement requests.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements
  • 1-3 years of experience in data engineering with strong hands-on expertise in Python, SQL, PySpark, and AWS services like SQS, Kinesis, Eventbridge, S3, Lambda, etc.
  • Strong SQL skills, querying, stored procedures
  • Python skills
  • Knowledge around data pipelines and ETL
  • AWS exposure Snowflake
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