Freelance Data Engineer

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