Stott and May
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Chicago, IL (Hybrid/Onsite) for a 6-month contract. Key skills include Python, SQL, Snowflake, and dbt, with 5+ years of data engineering experience required. Experience in manufacturing or supply chain is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
720
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🗓️ - Date
August 4, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
-
🧠 - Skills detailed
#REST API #dbt (data build tool) #Data Science #Automation #Data Engineering #"ETL (Extract #Transform #Load)" #Snowflake #REST (Representational State Transfer) #Data Transformations #Deployment #Monitoring #ML (Machine Learning) #Cloud #Scala #Python #Data Pipeline #Data Modeling #AI (Artificial Intelligence) #Forecasting #Data Quality #SQL (Structured Query Language)
Role description
Senior Data Engineer
Location: Chicago, IL (Hybrid/Onsite)
Duration: 6-month initial contract with likely extension
About the Role
We're looking for a Senior Data Engineer to join a growing Data & Analytics team focused on building the data platform that powers reporting, forecasting, and AI initiatives across the business.
This role is ideal for someone who enjoys building scalable data pipelines, integrating data from multiple enterprise systems, and helping move machine learning models into production. You'll work closely with data scientists, analytics teams, and business stakeholders to deliver reliable, production-ready data solutions.
Responsibilities
• Design, build, and maintain scalable data pipelines using Python and SQL.
• Develop and optimize data models using Snowflake and dbt.
• Build integrations with APIs and enterprise applications to ingest and process data.
• Automate recurring workflows and data movement across multiple systems.
• Support the deployment, monitoring, and maintenance of machine learning models in production.
• Ensure data quality, reliability, and performance across the data platform.
• Collaborate with Data Science, Analytics, and business stakeholders to deliver data solutions that support operational and strategic decision-making.
• Troubleshoot production issues and continuously improve existing pipelines and processes.
Required Skills
• 5+ years of Data Engineering experience.
• Strong Python and SQL development skills.
• Hands-on experience with Snowflake.
• Experience building data transformations using dbt.
• Experience developing and maintaining ETL/ELT pipelines.
• Experience integrating with REST APIs or other enterprise systems.
• Strong understanding of data modeling and cloud data platforms.
• Excellent communication skills and ability to work with technical and non-technical stakeholders.
Nice to Have
• Experience supporting MLOps or deploying machine learning models into production.
• Experience in manufacturing, industrial, or supply chain environments.
• Familiarity with workflow orchestration and automation tools.
Contract Details
• Location: Chicago, IL (Hybrid/Onsite)
• Duration: 6-month initial contract with likely extension
• Start: ASAP
Senior Data Engineer
Location: Chicago, IL (Hybrid/Onsite)
Duration: 6-month initial contract with likely extension
About the Role
We're looking for a Senior Data Engineer to join a growing Data & Analytics team focused on building the data platform that powers reporting, forecasting, and AI initiatives across the business.
This role is ideal for someone who enjoys building scalable data pipelines, integrating data from multiple enterprise systems, and helping move machine learning models into production. You'll work closely with data scientists, analytics teams, and business stakeholders to deliver reliable, production-ready data solutions.
Responsibilities
• Design, build, and maintain scalable data pipelines using Python and SQL.
• Develop and optimize data models using Snowflake and dbt.
• Build integrations with APIs and enterprise applications to ingest and process data.
• Automate recurring workflows and data movement across multiple systems.
• Support the deployment, monitoring, and maintenance of machine learning models in production.
• Ensure data quality, reliability, and performance across the data platform.
• Collaborate with Data Science, Analytics, and business stakeholders to deliver data solutions that support operational and strategic decision-making.
• Troubleshoot production issues and continuously improve existing pipelines and processes.
Required Skills
• 5+ years of Data Engineering experience.
• Strong Python and SQL development skills.
• Hands-on experience with Snowflake.
• Experience building data transformations using dbt.
• Experience developing and maintaining ETL/ELT pipelines.
• Experience integrating with REST APIs or other enterprise systems.
• Strong understanding of data modeling and cloud data platforms.
• Excellent communication skills and ability to work with technical and non-technical stakeholders.
Nice to Have
• Experience supporting MLOps or deploying machine learning models into production.
• Experience in manufacturing, industrial, or supply chain environments.
• Familiarity with workflow orchestration and automation tools.
Contract Details
• Location: Chicago, IL (Hybrid/Onsite)
• Duration: 6-month initial contract with likely extension
• Start: ASAP
