Job Title

Location: Preferred: Bangalore (On-site); Alternatives: Mumbai, Kathmandu (On-site)Type: Contract work, with potential for conversion to full time.Duration: September - December 2025Start Date: ImmediateWho We AreWe 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 SummaryWe 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 ResponsibilitiesBuild and maintain ETL pipelines for pricing, shipping, and behavioral datasetsCollaborate with data scientists and product managers to support model development and experimentationDevelop APIs or backend logic to implement dynamic pricing algorithmsCreate internal dashboards or tools with a focus on usability and performanceEnsure data quality, reliability, and documentation across systemsPerform feature engineering to feed predictive and optimization algorithmsAggregate and transform high-dimensional datasets at scale to ensure modeling efficiency and robustnessOptimize algorithm performance for real-time and large-scale deploymentRequirementsFlexibility 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 challengesAbility to onboard immediately3+ years of experience in data engineering or backend developmentStrong hands-on experience with Databricks and distributed data processing frameworksStrong 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 interfacesFamiliarity with experimentation systems and monitoring infrastructureExperience handling large-scale, high-dimensional datasets efficientlyExperience with MLOps is preferredDomain experience in e-commerce is preferred; knowledge of the pharmaceutical or scientific supply sector is a strong advantage