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Full Stack Data Engineer

Pivotal Palo Alto, CA

Palo Alto, CA

Today

Full time Backend Developer Python Analytics

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Job Description

Pivotal is seeking a Full Stack Data Engineer to develop internal applications that help engineering teams explore, interpret, and act on flight data. The work spans backend services, web front ends, dashboards and AI-assisted tooling, self-serve analysis, and packaging tools for engineers to run locally.

What You’ll Do

Build and maintain internal web applications engineers use to work with flight data, including flight record browsers, query interfaces, and analysis tools over the data warehouse.
Develop Python services and HTTP APIs that query AWS Athena and Amazon S3, delivering results at interactive speed with pagination and caching for large result sets.
Create interfaces that allow engineers to explore large telemetry datasets without writing SQL, including sortable tables, filters, and time-series plots.
Build agent-based tooling that helps engineers ask questions in plain language and trace symptoms to root causes without hand-writing queries, returning not only the answer but also the underlying data and derivation so results can be verified.
Convert recurring one-off analyses from firmware, GNC, battery, and maintenance teams into supported, self-serve tools.
Generate an internal field guide and data catalog from the warehouse itself, keeping documentation aligned to actual table contents, and maintain the metadata in machine-readable form for correct interpretation by tooling and agents.
Create review and triage views for fleet health alerts, including acknowledgment, history, and trend views, alongside existing dashboards and Slack notifications.
Package and distribute analysis tooling so it runs on an engineer laptop, including Windows, without requiring guided environment setup.
Take work through deployment with tests, code review, CI/CD, and monitoring to identify failures.
Partner with engineering teams to define what they need, and document what is shipped for ongoing support.

Required Qualifications

2+ years of professional experience building and shipping web applications, with capability from backend through front end.
Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
Proficiency in Python, and comfort writing SQL against a real database.
Experience with a modern JavaScript or TypeScript front-end framework (React, Vue, or similar).
Experience building and consuming HTTP APIs, including authentication, pagination, and error handling.
Comfort with Git-based workflows, code review, and CI/CD.
Ability to work with non-software engineers to clarify requirements and ship the solution, since many requirements come from conversation rather than a fixed specification.

Technologies

Python, SQL, JavaScript, TypeScript
React, Vue
HTTP APIs
AWS Athena, Amazon S3
Git-based workflows, CI/CD
Windows, Slack notifications

Preferred Qualifications

AWS experience, particularly S3, Athena, Lambda, or API Gateway.
Experience working with large or time-series datasets and knowledge of keeping a UI responsive over millions of rows.
Charting and data visualization libraries, including Grafana dashboard development.
Docker, and infrastructure as code with Terraform.
Experience building with LLM APIs or agent frameworks, including tool use, retrieval over structured data, and evaluating output trust.
Experience building internal tools where users are colleagues rather than external customers.

Additional Familiarity

Aerospace, automotive, or robotics telemetry, including 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.

Benefits

Comprehensive benefits package, including medical, dental, vision, and 401k plans.

Role Location and Eligibility

Location: Palo Alto, CA (onsite)
Employment eligibility: Applicants must be eligible for employment in the United States and willing to work onsite at the HQ office in Palo Alto, CA.

AI in the Hiring Process

Pivotal may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals.
AI tools assist the recruitment team but do not replace human judgment.
Final hiring decisions are made by humans.

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