

Sibitalent Corp
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires 3 years of experience in data engineering, 1+ years with Snowflake, and proficiency in Python and Azure. Onsite work in St. Louis, MO, or Mt. Sterling, IL, with occasional travel. A bachelor's degree is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
October 11, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
St. Louis City County, MO
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🧠 - Skills detailed
#GCP (Google Cloud Platform) #Snowflake #DataStage #Statistics #AWS (Amazon Web Services) #Cloud #Data Engineering #Lean #Computer Science #Azure #AI (Artificial Intelligence) #Python #Scripting #Project Management #Programming #Data Pipeline #"ETL (Extract #Transform #Load)" #Deployment #Mathematics #Databases #Data Wrangling #ML (Machine Learning)
Role description
Role - Data Engineer
Location - Onsite Work onsite at either location -St. Louis, MO, Mt. Sterling, IL
ROLE SPECIFICS
Travel – Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train.
Schedule – ability to work flexible hours; may include evening & weekend hours as needed
YOU MAY ALSO HAVE
• Bachelor’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field
• Snowflake Data Engineer Certification
• Ability to work independently as well as within a team environment
• Effective project management and planning skills
Required
• 3 years Data Engineer
• 1+ years with Snowflake (Strongly Required 1+ year)
• 3+ years Python
• 1+ years Azure (or similar Cloud with AWS, GCP)
• Mid level candidate with mid level year. Don't send Sr Level Developer
• Bachelor’s degree
Desired
• IBM Cloud
• Datastage
• DB2
• watsonX.ai
• Supply Chain
Responsibilities
• Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more)
• Identify opportunities to improve system and business process efficiencies
• Cleanse/transform data in preparation for all levels of analytical use
• Leverage many technologies and methodologies as required—includes scripting and programming languages
• Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines
• Work with vendors and consultants as appropriate.
• Applies lean thinking and tools to identify and eliminate waste in all areas of the position
Thanks and Regards💕
Nikhil
Technical Recruiter
Email : Nikhil@sibitalent.com
Web: www.sibitalent.com
101, E, Park Blvd.-Suite 600, Plano, TX 75074, USA
Role - Data Engineer
Location - Onsite Work onsite at either location -St. Louis, MO, Mt. Sterling, IL
ROLE SPECIFICS
Travel – Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train.
Schedule – ability to work flexible hours; may include evening & weekend hours as needed
YOU MAY ALSO HAVE
• Bachelor’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field
• Snowflake Data Engineer Certification
• Ability to work independently as well as within a team environment
• Effective project management and planning skills
Required
• 3 years Data Engineer
• 1+ years with Snowflake (Strongly Required 1+ year)
• 3+ years Python
• 1+ years Azure (or similar Cloud with AWS, GCP)
• Mid level candidate with mid level year. Don't send Sr Level Developer
• Bachelor’s degree
Desired
• IBM Cloud
• Datastage
• DB2
• watsonX.ai
• Supply Chain
Responsibilities
• Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more)
• Identify opportunities to improve system and business process efficiencies
• Cleanse/transform data in preparation for all levels of analytical use
• Leverage many technologies and methodologies as required—includes scripting and programming languages
• Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines
• Work with vendors and consultants as appropriate.
• Applies lean thinking and tools to identify and eliminate waste in all areas of the position
Thanks and Regards💕
Nikhil
Technical Recruiter
Email : Nikhil@sibitalent.com
Web: www.sibitalent.com
101, E, Park Blvd.-Suite 600, Plano, TX 75074, USA