Flight Data Full-Stack Engineer: Internal Analytics

Lever, Inc.; Palo Alto (CA); On-site; USD 115,000 - 150,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401k plans

Onsite HQ office in Palo Alto

Job summary

Pivotal seeks a Full Stack Data Engineer to build internal applications that expose flight data to engineers, spanning backend services, data platforms, dashboards, and AI-assisted tooling. You will ship tools that help teams explore large datasets and derive insights directly at the source of truth.

You’ll work with Python, SQL, and modern front-end frameworks, delivering self-serve analytics, scalable interfaces, and secure APIs.

Qualifications

• 2+ years of professional experience building and shipping web applications, backend through front end.
• Bachelor's degree in Computer Science or a related technical discipline, or equivalent practical experience.
• Proficient in Python, and comfortable writing SQL against a real database.
• Experience with a modern JavaScript or TypeScript front-end framework (React, Vue, or similar).
• Has built and consumed HTTP APIs, including authentication, pagination, and error handling.
• Comfortable with Git-based workflows, code review, and CI/CD.
• Can sit with a non-software engineer, work out what they actually need, and ship it — most requirements arrive as a conversation, not a spec.

Responsibilities

• Build and maintain the internal web applications engineers use to work with flight data — flight record browsers, query interfaces, and analysis tools over the warehouse.
• Develop Python services and HTTP APIs that query Athena and S3 and return results at interactive speed, including pagination and caching over large result sets.
• Build interfaces that make large telemetry datasets explorable — sortable tables, filters, and time-series plots — for engineers who are never going to write SQL.
• Build agent-based tooling over the data platform so engineers can ask questions in plain language and follow a symptom through to a root cause without hand-writing queries.
• Turn recurring one-off analyses from the firmware, GNC, battery, and maintenance teams into supported, self-serve tools instead of scripts that only their author can run.
• Generate the internal field guide and data catalog from the warehouse itself, so what engineers read cannot drift from what the tables actually contain.
• Build the review and triage surfaces for fleet health alerts — acknowledgment, history, and trend views — alongside the existing dashboards and Slack notifications.
• Package and distribute analysis tooling so it runs on an engineer's laptop, Windows included, without someone walking them through an environment setup.
• Carry your work through deployment — tests, code review, CI/CD, and the monitoring that tells you when something breaks.
• Sit with the engineering teams to scope what they actually need, and document what you ship so the next person can support it.

Skills

Python

SQL

JavaScript

React/Vue

APIs

Education

Bachelor's degree in Computer Science or related field

Equivalent practical experience

Tools

AWS

Grafana

Docker

Terraform

S3

Athena

Job description

Pivotal seeks a Full Stack Data Engineer to build internal applications that expose flight data to engineers, spanning backend services, data platforms, dashboards, and AI-assisted tooling. You will ship tools that help teams explore large datasets and derive insights directly at the source of truth.

You’ll work with Python, SQL, and modern front-end frameworks, delivering self-serve analytics, scalable interfaces, and secure APIs.