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