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Senior Data Engineer - Python, AWS, Snowflake, Airflow | Contract | Remote

Remote • Posted 2 hours ago • Updated 2 hours ago

Contract W2

Remote

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

PYTHON
SNOWFLAKE
AIRFLOW
AWS

Summary

Job Title: Senior Data Engineer (Python, AWS, Snowflake, Airflow)
Location: Remote (Preference for Chicago area candidates)
Duration 6 months plus
Start Date: Mid-May
Interview Process: 2 rounds
Pay rate: $70/HR - $80/HR W2 (negotiable)

Overview
We are seeking a Senior Data Engineer to design and build scalable data pipelines supporting enterprise data initiatives. This role will focus on extracting, transforming, and loading both structured and unstructured data into a modern cloud data platform, primarily leveraging AWS and Snowflake.
You will play a key role in building end-to-end data workflows, orchestrating pipelines, and enabling downstream data consumption through optimized data structures and user-facing interfaces.

Key Responsibilities

Design and develop end-to-end data pipelines using Python
Extract data and documents from enterprise data stores using connectors
Load and manage data in AWS (S3) and Snowflake
Process both structured and unstructured data for downstream consumption
Build and maintain data models and tables for business applications
Orchestrate workflows using Apache Airflow for scheduling and monitoring
Collaborate on building UI/data access layers on top of Snowflake
Ensure data quality, scalability, and performance across pipelines
Support cross-functional teams with data and reporting needs

Required Skills

Strong experience in Python (data pipeline development, scripting)
Hands-on experience with AWS services (especially S3, Lambda)
Expertise in Snowflake (data loading, modeling, performance tuning)
Experience with Apache Airflow for orchestration and scheduling
Solid understanding of ETL/ELT processes
Experience handling both structured and unstructured data

Nice-to-Have Skills

Experience building UI or data access layers on top of Snowflake
Familiarity with data visualization/reporting tools
Knowledge of Kafka (not required but beneficial for other projects)
Experience with traditional ETL tools

Project Overview

Build a cloud-based data pipeline using Python
Load data into AWS S3, then into Snowflake
Transform raw data into structured formats for business use
Orchestrate the entire workflow using Airflow
Enable end-user access via UI on top of Snowflake

Additional Notes

Remote candidates are acceptable; local candidates near Chicago are a plus
Interviews will begin shortly, with onboarding targeted for mid-May

Please apply with your interest. You may also reach out to me at

Thank you,
Ashu

We provide a comprehensive package which includes.
Benefits

Medical for full time employees
Dental, and Vision Insurance
Life Insurance, Short-Term Disability, Long-Term Disability, etc.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91140885
Position Id: 26-00254
Posted 2 hours ago

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