Data Pipeline Engineer

Alternatives : Mumbai, Kathmandu (On-site)

Type : Contract work, with potential for conversion to full time .

Duration : September - December 2025

Start Date : Immediate

Who We Are

We are recent MIT graduates experienced in digital transformation and AI, with expertise in various sectors including consulting, energy, healthcare, tech and operations. We are looking to build tailored solutions for companies looking to leverage the latest developments in agentic AI, LLMs and optimization tools. To this end, we are contracting high-skilled individuals to help us with project execution. As we develop a pipeline of projects, there is potential for applicants to convert to a full-time role within the company.

Role Summary

We are are looking for 2 Data Engineers as soon as possible to support infrastructure, data pipeline development, and deployment of pricing logic for a data-rich e-commerce platform serving the life sciences sector. Beyond data processing, this role emphasizes usability and interface design for internal tools that enable experimentation, pricing configuration, and real-time monitoring.

Key Responsibilities

• Build and maintain ETL pipelines for pricing, shipping, and behavioral datasets
• Collaborate with data scientists and product managers to support model development and experimentation
• Develop APIs or backend logic to implement dynamic pricing algorithms
• Create internal dashboards or tools with a focus on usability and performance
• Ensure data quality, reliability, and documentation across systems
• Perform feature engineering to feed predictive and optimization algorithms
• Aggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustness
• Optimize algorithm performance for real-time and large-scale deployment

Requirements

• Flexibility in working with young, startup-like environments. The role is dynamic, and will require an ability to adapt to various tasks and come up with creative solutions to unforeseen challenges
• Ability to onboard immediately
• 3+ years of experience in data engineering or backend development
• Strong hands-on experience with Databricks and distributed data processing frameworks
• Strong Python and SQL expertise;

experience with cloud-based platforms (e.G., AWS, BigQuery, Snowflake)

• Demonstrated ability to design and develop user-friendly internal tools or interfaces
• Familiarity with experimentation systems and monitoring infrastructure
• Experience handling large-scale, high-dimensional datasets efficiently
• Experience with MLOps is preferred
• Domain experience in e-commerce is preferred;

knowledge of the pharmaceutical or scientific supply sector is a strong advantage