Job Title

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.Core Engineering (Must-Haves)Strong proficiency in Python — clean, modular, production-grade codeHands-on experience with Docker for containerizationStrong working knowledge of Kubernetes for deployment & orchestrationInfrastructure as Code using Terraform (no manual console management)Data Stack & Pipeline ExpertiseExpert-level experience with Apache Airflow and/or DagsterStrong proficiency in dbt for transformation workflowsExperience with Cloud Platforms (AWS / GCP / Azure)Exposure to streaming and SaaS ingestion tools such as Kafka, Fivetran, etc.Must have shipped at least two complex data pipelines to productionAI-Ready Data ArchitectureExperience processing unstructured data (text, documents, logs)Hands-on work with LLM data preparation:Chunking strategiesEmbedding pipelinesRetrieval optimizationModern DatabasesExperience with Vector Databases (Pinecone, Milvus, pgvector, etc.)Understanding of Graph Databases (Neo4j) and Graph-based retrieval (GraphRAG concepts)Strong understanding of:Data Lakes vs Warehouses vs RDBMSNormalization strategiesIndexing & search optimizationEngagement 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