Remote Identity Data Platform Engineer

Lumos; United States; Remote; USD 170,000 - 220,000; Full time

Benefits offered by this job

Remote work from anywhere within ±4hPT

Medical, dental & vision insurance

Mental health support

Monthly wellness stipend

Life & disability insurance

Flexible PTO

Parental leave

Learning stipend of $1,000 annually

Company & team offsites

401(k) with matching

Job summary

Lumos is hiring an Software Engineer on the Data Platform team to evolve our identity data backbone that powers Lumos products. You will build robust, scalable, and reliable platform software transforming identity inputs into trusted data foundations.

You’ll design APIs and services, establish SLOs, and push best practices for scalable data-centric apps while collaborating with engineering, product, and AI teams around a secure, high‑velocity data ecosystem.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Backend development

Python

Go

TypeScript

API design

Observability

SLOs

Dagster

Airflow

MySQL

PostgreSQL

Data systems

Identity governance

Tools

Dagster

Airflow

Job description

Lumos is hiring an Software Engineer on the Data Platform team to evolve our identity data backbone that powers Lumos products. You will build robust, scalable, and reliable platform software transforming identity inputs into trusted data foundations.

You’ll design APIs and services, establish SLOs, and push best practices for scalable data-centric apps while collaborating with engineering, product, and AI teams around a secure, high‑velocity data ecosystem.