We’re looking for someone who wants to bring a full-stack perspective to data. As a Software Engineer supporting our Data function, you will be responsible for creating and maintaining pipelines that enable our Data Science, Engineering, and Product teams, and the wider Mercor organization
Your focus will be on data reliability, availability, and timeliness, with a focus on collaboration (and significant operational crossover with) our Data Science team and the many partner functions
Building robust pipelines to ingest, transform, and consolidate data from diverse sources (e.g., MongoDB, Airtable, PostHog, production databases)
Designing dbt models and transformations to standardize and unify many disparate tables into clean, production-ready schemas
Implementing scalable, fault-tolerant data workflows with Fivetran, dbt, SQL, and Python
Partnering with engineers, data scientists, and business stakeholders to ensure data availability, accuracy, and usability
Owning data quality and reliability across the stack, from ingestion through to consumption
Continuously improving pipeline performance, monitoring, and scalability