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 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)
• Exposure to streaming and SaaS ingestion tools such as Kafka , Fivetran , etc.
• 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:
• Chunking strategies
• Embedding pipelines
• Retrieval optimization

Modern Databases

• Experience 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 RDBMS
• Normalization strategies
• Indexing & search optimization

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