Data Engineer (Part-Time, Remote)

Overview

Remote
$60 - $70
Contract - W2
Contract - 24 Month(s)
Able to Provide Sponsorship

Skills

Amazon Redshift
Amazon Web Services
Apache Kafka
Apache Spark
Cloud Computing
Collaboration
Communication
Conflict Resolution
Data Architecture
Data Engineering
Data Quality
Data Warehouse
Debugging
ELT
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
Microsoft Azure
Optimization
Problem Solving
Python
SQL
Scalability
Streaming
Workflow

Job Details

Job Title: Data Engineer (Part-Time, Remote)
Experience: 10 12 years
Work Type: Part-Time (Remote)
Note: H-1B candidates are Also welcome to apply

About the Role
We re looking for a senior Data Engineer with strong hands-on skills in building, optimizing, and maintaining data pipelines and platforms. This is a part-time remote role suited for experienced professionals who prefer flexible hours.
Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines and data workflows.
Build and optimize data lakes, warehouses, and streaming pipelines.
Work closely with data scientists, analysts, and product teams to ensure reliable data access.
Maintain data quality, lineage, and governance standards.
Monitor and improve pipeline performance and scalability.
Collaborate on cloud-based data architecture and best practices.
Required Skills
10 12 years of experience in data engineering or related roles.
Strong coding skills in Python, SQL, and at least one ETL framework (Airflow, dbt, etc.).
Hands-on experience with cloud data platforms (AWS Glue, Redshift, Google Cloud Platform BigQuery, Azure Synapse, etc.).
Solid understanding of data warehousing, partitioning, schema design, and optimization.
Familiarity with streaming technologies like Kafka or Spark Streaming.
Strong problem-solving, debugging, and communication skills.

If interested please contact to Sudheer Kumar.V
Email:
Phone: +1

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