Associate Data Engineer 2026- FutureNow - Chicago

IBM

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Work type
On-site
Location
Chicago, IL
Posted
20 days ago

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Similar $175k
$125k most similar roles pay here $225k

This listing doesn't post a salary. Most similar roles pay $135,000–$215,587.

Based on 240 similar postings.

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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Associate Data Engineer 2026- FutureNow - Chicago

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As an entry-level Associate Data Engineer at IBM Consulting FutureNow in Chicago, you will join a dynamic team focused on building and maintaining enterprise-scale data pipelines. Your day-to-day responsibilities include supporting the development of ETL/ELT processes, contributing to data cleansing and validation tasks using Python and SQL, and preparing datasets for analytics teams. You will collaborate with experienced practitioners in Agile environments, learning and applying best practices in data engineering while working on real-world client projects. The role requires a strong foundation in computer science fundamentals, proficiency in Python or another relevant programming language, and hands-on experience with tools like pandas and NumPy. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, relational databases, and modern data warehouse technologies is also essential for this position.

Skills

Python pandas NumPy SQL AWS Azure Google Cloud Snowflake Redshift BigQuery Apache Spark Git

What you'll do

  • Support the development and maintenance of data pipelines for analytics and reporting.
  • Assist in extracting, transforming, and loading (ETL/ELT) data from various sources into platforms.
  • Contribute to data cleansing, validation, and transformation using Python and SQL.
  • Prepare datasets for downstream consumption by analytics and data science teams.
  • Support batch and near-real-time data processing workflows under guidance.

What we're looking for

  • Strong foundation in computer science fundamentals and analytical skills.
  • Proficiency in Python or another programming language for data processing.
  • Experience with data manipulation tools like pandas, NumPy, and SQL.
  • Understanding of ETL/ELT concepts and relational databases using SQL.
  • Exposure to cloud-based data platforms (AWS, Azure, Google Cloud).
  • Familiarity with distributed data processing tools such as Apache Spark.

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