Freelance Data Engineer

Job Overview We are looking for an experienced Freelance Data Engineer 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 Background We 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. ● Role Overview: Drive massive-scale data migration efforts by building robust batch and streaming pipelines. Leverage Google Cloud's data ecosystem to ensure legacy records are transformed, validated, and accurately routed to target architectures with high performance. ● Key Responsibilities: ○ Design and test scalable Cloud Dataflow pipelines for data routing. ○ Build high-performance streaming pipelines to feed analytical datasets. ○ Execute data cleanup and transformation scripts to resolve malformed data. ○ Optimize pipeline throughput and ensure comprehensive unit testing. Engagement Details Commitment: ~35 hours per week with predictable workload and clear deliverables Work Model: 100% remote engagement from our side Compensation: Monthly payouts with a transparent pay cycle Tenure: Long-term engagement for high performers; continuity and stability assured Eligibility: Open only to professionals currently working in a full-time remote role (validated during screening) Growth: Opportunity to work on complex, high-impact products alongside senior engineering leadership