Senior Data Engineer - Python, AWS, Snowflake, Airflow | Contract | RemoteAlpha Business Solutions • United States
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Senior Data Engineer - Python, AWS, Snowflake, Airflow | Contract | Remote
Alpha Business Solutions
- United States
- United States
About
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.
Languages
- English
Notice for Users
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