Freelance Data Engineer

Job OverviewWe are looking for an experienced Freelance Data Engineer to join a high-performing engineering team working on scalable products for global enterprise clients. (EST Time overlap)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 BackgroundWe 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 andstreaming pipelines. Leverage Google Cloud's data ecosystem to ensure legacy recordsare transformed, validated, and accurately routed to target architectures with highperformance.● 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 DetailsCommitment: ~35 hours per week with predictable workload and clear deliverablesWork Model: 100% remote engagement from our sideCompensation: Monthly payouts with a transparent pay cycleTenure: Long-term engagement for high performers; continuity and stability assuredEligibility: 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

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