$125K – $400K/yr
Full Stack Data Engineer - Internal Flight Data Applications
Pay vs market · Bottom quarter
This job's pay ($132,500 a year at the midpoint) is higher than about 10% of 57 salary-listed Data Engineer jobs in United States in the last 12 months; their median is $190,000.
Role overview
Job description
-
Internal applications: 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.
-
Backend services: 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.
-
Front end: Build interfaces that make large telemetry datasets explorable — sortable tables, filters, and time-series plots — for engineers who are never going to write SQL.
-
AI-assisted diagnosis: 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. Design these tools to return the underlying data and how it was derived, not just an answer, so an engineer can verify the result before acting on it.
-
Self-serve analysis: 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.
-
Data catalog: Generate the internal field guide and data catalog from the warehouse itself, so what engineers read cannot drift from what the tables actually contain — and keep that metadata machine-readable, so the tooling and agents built on top of it interpret results correctly.
-
Alert review: Build the review and triage surfaces for fleet health alerts — acknowledgment, history, and trend views — alongside the existing dashboards and Slack notifications.
-
Tooling distribution: Package and distribute analysis tooling so it runs on an engineer's laptop, Windows included, without someone walking them through an environment setup.
-
Ownership: Carry your work through deployment — tests, code review, CI/CD, and the monitoring that tells you when something breaks.
-
Collaboration: Sit with the engineering teams to scope what they actually need, and document what you ship so the next person can support it.
Qualifications
Preferred Qualifications
- AWS experience, particularly S3, Athena, Lambda, or API Gateway
- Worked with large or time-series datasets, and knows how to keep a UI responsive over millions of rows
- Charting and data visualization libraries; Grafana dashboard development
- Docker, and infrastructure as code with Terraform
- Has built with LLM APIs or agent frameworks — tool use, retrieval over structured data, and evaluating whether the output can be trusted
- Has built internal tools where the users are colleagues rather than customers
Familiarity/experience with one or more of the following:
- Aerospace, automotive, or robotics telemetry, and flight or vehicle test data
- Packaging desktop or command-line tooling for non-developer users, including on Windows
- Authentication and access control for internal applications (SSO, IAM, scoped credentials)
- Regulated or safety-critical environments with traceability and data retention requirements
- Natural-language or conversational interfaces over structured, time-series, or diagnostic data
- Interest in RC planes, quadcopters, or aviation
Attributes aligned with Core Values
Applicants must be eligible for employment in the United States and willing to work onsite at our HQ office in Palo Alto, CA. Pivotal offers a comprehensive benefits package, including medical, dental, vision, and 401k plans. Pivotal is an Equal Opportunity Employer. Pivotal does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
About this listing
- Source: Pivotal's official careers site (via Lever) · last confirmed on the source 7 Nov 2026
- Posted 14 Sept 2026
Jobiba does not charge job seekers. Never pay to apply or share OTPs, card or bank details.
Role market pulse
How Data Engineer demand looks in United States
Live jobs
222
Posted 30d
172
30d movement
+377.8%
Remote share
22.5%
Salary listed
78.4%
Salary trend 1Y
Not enough history
What they are looking for
Skills & requirements
Qualification
Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience
Department · Engineering
Hiring company
Pivotal
View the company profile, current openings and hiring details.
Related opportunities
Similar active roles
Relevant, currently active roles for this market.
$180K – $440K/yr
🔔 Get job alerts
New Full Stack Data Engineer jobs in Palo Alto, California, United States, straight to your inbox.
No spam · Unsubscribe anytime