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# Software Engineer, Data Platform

- **Company:** LUMOS
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $170,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Data Infrastructure, Data Security, Data Stores, Data Systems, Identity and Access Management, Python (Programming Language), PostgreSQL, MySQL, Operational Databases, Software Engineering, TypeScript, Backend, Transactional Database, Api Design
- **Published:** September 4, 2026
- **Apply:** https://startup.jobs/software-engineer-data-platform-lumos-com-8327344

## About the Role

* 3-7 Years of experience as a backend or platform engineer building production data systems other teams depend on, either ingestion and sync pipelines (Dagster, Airflow, or comparable orchestration) or service layers in front of a transactional database (MySQL/Postgres) that abstract storage from internal consumers.
 * Strong backend development skills in Python, Go, or TypeScript, with a focus on clean API design, testability, and observability.
 * Strong instinct for data correctness, observability, and SLOs in systems where downstream products take action on the output.
 * Experience designing service or API interfaces over a transactional datastore (MySQL/Postgres) defining contracts that let producers and consumers evolve independently.
 * Familiarity with identity and access governance (IGA) data (e.g. identities, accounts, entitlements, group memberships) and how its correctness, freshness, and traceability shape downstream governance outcomes at scale.

## Description

* Design, develop, and operate systems that transform high volumes of identity data from third-party integrations to product consumers with correctness, freshness, and operational rigor.
 * Build the shared primitives and interfaces (APIs, services, materialized models) that abstract raw identity data into the building blocks that power our products.
 * Contribute to the technical vision for a world-class data infrastructure that empowers engineering, product, and AI teams, enabling seamless access to high-quality data.
 * Establish SLOs, observability, and operational tooling that catch and remediate failures in identity data systems before they reach customers.
 * Promote and implement software engineering best practices for building scalable, reliable, and secure data-centric applications. Elevate the principles of software engineering within the data domain.


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