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Azure Data Engineer - Staples

Job in Rolling Meadows, Cook County, Illinois, 60008, USA
Listing for: Blue.cloud
Full Time position
Listed on 2025-12-27
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 25 - 27 USD Hourly USD 25.00 27.00 HOUR
Job Description & How to Apply Below

Job title:

Azure Data Engineer

Location & commitments:

  • Nearshore or offshore would be ideal for location. Our expectations would be in line with the location.
  • Contract role with Staples, full time hire to BC Turkey or BC India. Flexible US EST hours over lap.
  • Full-time
  • $25-27 per hour for candidates
About the role:

This role will be part of a team that helps migrate data workloads (data engineering / Client) from Azure Databricks into Snowflake (specifically Snowpark). This person will work on a team of 5-10 at Staples, including one of our current teammates who works on that team.

About the project:

This project will begin as a POC where we prove out 2-3 workloads (data engineering / Azure Client) and why it would be faster & cheaper to house these workloads (data engineering / Azure Client) in Snowflake instead of Databricks. Once proven, the intent is to bring this teammate onboard Staples fulltime and have them start moving 20-30 other workloads into Snowpark/Snowflake.

They will receive other work from Staples as well.

Qualifications or must have candidate requirements:
  • Knowledge on Airflow Administration and DAG development is good to have.
  • Experience in SQL, Python, and Object-oriented programming.
  • Experience migrating data from one system to another (e.g., from Cloudera)
  • Hands-on professional Azure Cloud experience.
  • Understanding of Databricks, both positives and negative features.
  • Knowledge of Azure Dev Ops, data factory, Azure Databricks, and Snowflake
  • Knowledge of AI Client / Azure Client is preferred.
  • Good to have skills:
  • Knowledge of data warehouse, database concepts, and ETL tools (Informatica, Data Stage, Pentaho, etc.) is preferable.
  • Knowledge of DBT.
  • Knowledge of HDFS, Hive queries.
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