[Hiring] Data Engineer III @Mindlance

Role Description

We are hiring an experienced Data Engineer to design, build, and own the data models, pipelines, and reporting that this operation runs on. Today a meaningful amount of operational reporting is assembled by hand; a significant part of this role is replacing that with automated, trustworthy systems.

This is an embedded, high-visibility role rather than a ticket-queue role. You will work directly with robot operators, site leads, and program managers, translate their questions into durable data models, and own the numbers that appear in leadership reviews.

Qualifications

• Strong cross-functional partnership and communication — able to work with senior stakeholders up to director level, and to clarify, challenge, and push back constructively.
• Experience setting up data architecture and pipelines for an organization, including dimensional modeling and ownership of production pipelines end to end (correctness, freshness, backfill).
• Strong hands-on technical depth in the specific stack: Python, advanced SQL on very large partitioned tables in a distributed query engine, and pipeline orchestration.

Requirements

• 5+ years minimum (6–7 ideal) of overall experience required.

Nice-to-have Skills

• Smaller company, startup, or pure-tech background — scrappier, with natural exposure to back-end systems and cross-team work.
• Robotics, sensor, or time-series data experience (ROS bags, MCAP), or multimodal/unstructured data at scale.
• Working knowledge of TypeScript/React, enough to extend an internal web app to surface new metrics.