Freelance Data Engineer

Job Overview

We are looking for an experienced Freelance Data Engineer ll 6+ Yrs. of exp to join a high-performing engineering team working on scalable products for global enterprise clients. This role is ideal for professionals currently working in a 100% REMOTE setup and looking to take up a long-term freelance or part-time engagement alongside their primary role with competitive compensation and meaningful additional income.

Company Backgroun

dWe are a product engineering firm partnering with top-tier global organizations across consulting, fintech, retail, and consumer tech. Our 750+ strong engineering team delivers high-impact solutions across Product and Data Engineering, with deep expertise in Agentic AI, GenAI, RPA, and Full-stack development

.
About the Ro

leWe are looking for an experienced Data Engineer to design, build, and optimize scalable data pipelines and modern cloud-based data platforms. The ideal candidate should have strong expertise in Python, SQL, ETL/ELT development, data modeling, and cloud data engineering. Experience with Azure Databricks, Snowflake, DBT, and workflow orchestration tools is highly desirabl

e.
Key Responsibilit

• iesDesign, develop, and maintain scalable data pipelines and data integration solutio
• ns.Build and optimize ETL/ELT workflows using modern cloud technologi
• es.Develop robust data models and data warehouse solutions to support analytics and reporting requiremen
• ts.Implement and maintain data transformation frameworks using Python and S
• QL.Collaborate with data analysts, business stakeholders, and cross-functional teams to understand data requirements and deliver reliable solutio
• ns.Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliabili
• ty.Implement CI/CD pipelines and deployment automation for data engineering workflo
• ws.Ensure adherence to data governance, security, and quality standar
• ds.Participate in architecture discussions and contribute to cloud data platform improvemen

ts.
Qualificat

• ionsBachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related fi
• eld.6+ years of hands-on experience in Data Engineer
• ing.Strong understanding of cloud-native data architectures and modern data platform practi
• ces.Excellent analytical, problem-solving, and communication ski

lls.
Engagement De

• tailsCommitment: ~35 hours per week with predictable workload and clear deliver
• ablesWork Model: 100% remote engagement from our
• sideCompensation: Monthly payouts with a transparent pay
• cycleTenure: Long-term engagement for high performers; continuity and stability as
• suredEligibility: Open only to professionals currently working in a full-time remote role (validated during scree
• ning)Growth: Opportunity to work on complex, high-impact products alongside senior engineering leade

rship