nTech Workforce
ETL Data Engineer - SQL - ONLY W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Data Engineer - SQL, offering a 12-month W2 contract in Oakbrook Terrace, IL (Hybrid). Requires 3-5+ years in Data Engineering, proficiency in SQL, Azure cloud services, and strong UNIX/Linux skills.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
March 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
Villa Park, IL
-
🧠 - Skills detailed
#SQL (Structured Query Language) #Kubernetes #ADF (Azure Data Factory) #Computer Science #Data Processing #"ETL (Extract #Transform #Load)" #Data Science #Scala #Azure cloud #Terraform #Azure #Shell Scripting #Spark (Apache Spark) #Data Pipeline #Data Engineering #Programming #Python #Documentation #Azure SQL #Oracle #ML (Machine Learning) #SQL Server #PostgreSQL #Linux #BI (Business Intelligence) #Scripting #MySQL #Databricks #Synapse #Docker #Azure Data Factory #Cloud #Databases #Unix #Kafka (Apache Kafka)
Role description
-----------ONLL W2----------------ONLY W2-------------------ONLY W2----------------
Title: ETL Data Engineer - SQL
Location: Oakbrook Terrace, IL 60181 (Hybrid)
Duration: 12 - Month Contract (Extension Possible)
Job Description:
Terms of Employment:
• W2 Contract, 12 Months (Likely Extension)
• This is a hybrid position. The selected candidate must be comfortable working onsite Tuesdays, Wednesdays, and Thursdays in Oak Brook, IL.
Overview & Responsibilities:
• Work with a leading professional services firm within their Grid Analytics team. As a Mid-Level Data Engineer, you will be the backbone of data operations, designing and maintaining the pipelines that empower data scientists to drive business intelligence. You will play a critical role in bridging data across high-performance computing (HPC) servers and the Azure cloud, ensuring data is reliable, optimized, and accessible for complex machine learning lifecycles.
You will…
• Design and implement scalable ETL/ELT data pipelines in hybrid (on-prem and cloud) environments.
• Build robust integration solutions to connect various data sources across Azure and on-premises systems.
• Configure and optimize databases in UNIX/Linux and cloud platforms.
• Implement MLOps practices to support the machine learning lifecycle.
• Collaborate with data scientists and stakeholders to understand and meet data requirements.
• Maintain documentation for infrastructure, pipelines, and workflows.
Required Qualifications:
• 3 to 5+ years of experience in Data Engineering.
• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
• Proficiency in SQL and experience with major databases (PostgreSQL, SQL Server, Oracle, or MySQL).
• Hands-on experience with Azure cloud data services (Azure Data Factory, Synapse Analytics, Azure SQL).
• Strong UNIX/Linux administration skills and Python programming/shell scripting proficiency.
• Experience with data processing frameworks such as Spark or Databricks.
Preferred Qualifications:
• Experience with real-time data processing (Kafka, Event Hubs).
• Knowledge of Infrastructure-as-Code (Terraform, ARM templates).
• Familiarity with containerization (Docker, Kubernetes).
• Background in implementing CI/CD for data solutions.
Sincerely,
Preetam Raj
Lead Technical Recruiter
nTech Workforce Inc
D: 410-505-4857 EXT: 726
E: preetam@ntechworkforce.com
preetam(at)ntechworkforce(dot)com
-----------ONLL W2----------------ONLY W2-------------------ONLY W2----------------
Title: ETL Data Engineer - SQL
Location: Oakbrook Terrace, IL 60181 (Hybrid)
Duration: 12 - Month Contract (Extension Possible)
Job Description:
Terms of Employment:
• W2 Contract, 12 Months (Likely Extension)
• This is a hybrid position. The selected candidate must be comfortable working onsite Tuesdays, Wednesdays, and Thursdays in Oak Brook, IL.
Overview & Responsibilities:
• Work with a leading professional services firm within their Grid Analytics team. As a Mid-Level Data Engineer, you will be the backbone of data operations, designing and maintaining the pipelines that empower data scientists to drive business intelligence. You will play a critical role in bridging data across high-performance computing (HPC) servers and the Azure cloud, ensuring data is reliable, optimized, and accessible for complex machine learning lifecycles.
You will…
• Design and implement scalable ETL/ELT data pipelines in hybrid (on-prem and cloud) environments.
• Build robust integration solutions to connect various data sources across Azure and on-premises systems.
• Configure and optimize databases in UNIX/Linux and cloud platforms.
• Implement MLOps practices to support the machine learning lifecycle.
• Collaborate with data scientists and stakeholders to understand and meet data requirements.
• Maintain documentation for infrastructure, pipelines, and workflows.
Required Qualifications:
• 3 to 5+ years of experience in Data Engineering.
• Bachelor’s degree in Computer Science, Information Systems, or a related technical field.
• Proficiency in SQL and experience with major databases (PostgreSQL, SQL Server, Oracle, or MySQL).
• Hands-on experience with Azure cloud data services (Azure Data Factory, Synapse Analytics, Azure SQL).
• Strong UNIX/Linux administration skills and Python programming/shell scripting proficiency.
• Experience with data processing frameworks such as Spark or Databricks.
Preferred Qualifications:
• Experience with real-time data processing (Kafka, Event Hubs).
• Knowledge of Infrastructure-as-Code (Terraform, ARM templates).
• Familiarity with containerization (Docker, Kubernetes).
• Background in implementing CI/CD for data solutions.
Sincerely,
Preetam Raj
Lead Technical Recruiter
nTech Workforce Inc
D: 410-505-4857 EXT: 726
E: preetam@ntechworkforce.com
preetam(at)ntechworkforce(dot)com
