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.

Strong proficiency in Python — clean, modular, production-grade code
Hands-on experience with Docker for containerization
Strong working knowledge of Kubernetes for deployment & orchestration
Infrastructure as Code using Terraform (no manual console management)
Data Stack & Pipeline Expertise
Expert-level experience with Apache Airflow and/or Dagster
Strong proficiency in dbt for transformation workflows
Experience with Cloud Platforms (AWS / GCP / Azure)
Must have shipped at least two complex data pipelines to production
AI-Ready Data Architecture
Experience processing unstructured data (text, documents, logs)
Hands-on work with LLM data preparation:
Embedding pipelines
Modern Databases
Experience with Vector Databases (Pinecone, Milvus, pgvector, etc.)
Understanding of Graph Databases (Neo4j) and Graph-based retrieval (GraphRAG concepts)
Data Lakes vs Warehouses vs RDBMS
Work Model: 100% remote engagement from our side
Compensation: Tenure: Long-term engagement for high performers; 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