Sr. Data Engineer
Role details
Job location
Tech stack
Job description
Implement advanced Snowflake features like Streams, Tasks, Snowpipe, Data Sharing Lead migration from legacy data warehouses to Snowflake Design and build data applications on Snowflake (Streamlit / Native Apps) Develop and manage data pipelines using Python & Airflow Work on AWS cloud architecture (S3, Lambda, RDS, API Gateway) Extract data from various data stores and load into AWS Build scalable data models for reporting and analytics IMPORTANT: Candidate must be local to Chicago Hospitality domain experience is a plus, This early-career fullstack role is tailored for recent graduates eager to accelerate their growth by building impactful products. You will contribute to and gradually take ownersh…
- 1 day ago
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Requirements
Loking for a Senior Data Engineer with strong experience in building and managing data pipelines using Snowflake and AWS. The role involves working with structured and unstructured data, ETL processes, and enabling downstream applications through clean and scalable data solutions. MUST HAVE (NON-NEGOTIABLE): Strong Python (10/10 level) Hands-on experience with Snowflake (including UI) Experience with Apache Airflow (workflow scheduling & pipelines) Strong experience in AWS (S3, Lambda, API Gateway, etc.) Experience in ETL processes (data extraction, transformation, loading) Ability to handle structured & unstructured data Experience designing data pipelines for downstream consumption
Benefits & conditions
SaidGig
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Chicago, IL
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$90.00 per hour Join a dynamic team dedicated to building an AI-native platform that transforms traditional spreadsheet operations into real-time dashboards and agentic workflows. This role involv…
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1 day ago