Senior Data Engineer
About the role
Senior Data Engineer
> ActivTrak · Austin, United States (Remote) · Full-time · Posted 2026-08-26
Workplace: remote
Department: Development
Description
We're growing our data engineering team to design and operate the production systems that make our machine learning and analytics work scalable, observable, reliable, and economical. This is a platform-ownership role: you're building the infrastructure a petabyte-scale data platform runs on, not executing tickets handed down from another team.
You'll work on problems like:
- Designing and operating production data pipelines across a layered (bronze/silver/gold) data platform: sourcing, cleansing, and transforming data at scale
- Solving incremental sync and stream processing as data volume and account count grow — a real, unsolved scaling problem for us today
- Building regional data architecture that respects data residency and PII boundaries (e.g., data belonging to a region can't simply be centralized into one global store)
- Designing the production systems, orchestration, and deployment mechanisms that turn Data Science's models and analysis into durable, monitored, reliable pipelines
Where this role starts and ends: Data Science owns problem formulation, features, model and scoring logic, evaluation, and model performance. You own the pipeline infrastructure, orchestration, deployment mechanisms, observability, scalability, and operational reliability that put their work into production. The primary ownership is clear, but you'll work together across that boundary when production issues span model and platform.
This is an individual contributor role with substantial ownership of the platform. It does not include people-management responsibilities.