Data Engineer, Palo Alto

Rhombus Power Inc.

📍Palo Alto, CA
Posted May 19, 2026

Job Overview

Position

Data Engineer, Palo Alto

Company

Rhombus Power Inc.

Location

Palo Alto, CA

Work Type

On-site

Job ID

li-4405181670

Job Description

Rhombus Power, Inc. delivers AI-powered predictive intelligence in real time for defense and national security organizations worldwide. Our mission-built products— Ambient AI and Guardian— are transforming strategic, operational, and tactical decision-making. By empowering the shift from reactive analysis to proactive, predictive intelligence and decision support, Rhombus Power is providing foresight and freedom of action when it matters most.

Come join our cross-disciplinary and world-class team that is delivering game-changing solutions to transform global security.

Learn more about Rhombus Power, Inc. and watch a demonstration of Guardian, our AI Platform here:

https://www.youtube.com/watch?v=3PxY6su1Q-Q

https://www.youtube.com/@rhombuspower8558/videos

https://www.youtube.com/watch?v=Iby5WVNfQiI

See the following articles to learn more about what we do:

https://www.rhombuspower.com/news-and-media

Location
Palo Alto, CA

Job Description
Rhombus’
Data Engineers
are instrumental in designing and implementing data engineering activities on topical, mission-driven projects that inform our national security agenda. They analyze, build, and maintain our organization’s data infrastructure and processing systems.

Additionally, our
Data Engineers
perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. Our Data Engineers work cross functionally with other departments to meet business needs. They utilize their skills at all stages of the analytics pipeline to create results that drive business values and customer success.

Responsibilities

  • Develop code using various programming and scripting languages to automate data ingestion and improve data management processes.

  • Architect data repositories, stand up data platforms and develop data pipelines for ingestion, transformation, and aggregation.

  • Review existing architecture, data strategy, and improve processes for data governance, data quality, and metadata management.

  • Extract and analyze raw data from multiple data sources via APIs, SQL Stored Procedures, or Python scripts.

  • Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms.

  • Collaborate with a multi-disciplinary team of analysts, data scientists, data engineers, developers, and data consumers in a fast-paced, agile environment.

  • You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for clients.

  • Communicate project status and results to various levels of leadership.

Qualifications

  • At minimum Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 3 years of professional experience, or a Master’s degree with strong academic project experience and one year of work experience.

  • Experience with 1 or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include: Shell, PERL, Java, C/C++/C#, Scala, etc.

  • Experience with 1 or more of the following relational, noSQL and/or file based storage (e.g. MYSQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, DynamoDB, etc.)

  • Experience building and maintaining ETL data pipelines

  • Experience with software development life cycle including testing, documenting, delivery and support

  • Working knowledge of AWS/cloud technologies

  • Experience using query optimization as well as data modeling techniques.

  • Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)

Personal Qualities

  • Bias for action: Rhombus seeks ‘doers’ who will get things done with accuracy, speed and at scale.

  • Ability to contextualize data as it relates to Rhombus’ vision. We want someone who can understand the “why” and “so what”, and not just the “how”. Our Data Engineers help us transmit the enthusiasm we have around the data work to the individuals doing that work.

  • Must have strong problem-solving skills and demonstrated excellent oral and written communication skills.

  • We’re seeking folks with strong intellectual curiosity and creativity, with an ability and willingness to learn new skills and apply novel solutions to problems.

  • Comfort in a fast-paced start-up environment is crucial, with the ability to consistently revise your approach in response to new information, and to be flexible and adaptive.

Salary Range

  • The estimated base salary range for this position is $110,000 to $180,000/year

Benefits

  • Full medical, dental, vision coverage for employee and dependents

  • 401k matching program

  • PTO and Holidays

  • Bonus and other incentive programs

  • Access to mental health program

  • Access to Flexible Spending Accounts for Health Care, Dependent and Commuter

About Rhombus
Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto.  We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare. Our advisory board includes two Nobel Laureates and a Draper Prize winner.

Rhombus compensates, motivates, and develops employees, who are trusted, empowered, and involved. Employees have clear roles and expectations – and their roles are flexible enough to move at the speed of innovation in order to meet and exceed client expectations. We have a unique culture of global purpose, rooted in the innovation and progress of Silicon Valley.

Rhombus knows that diversity is a condition for success. We are committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer.

Interview Prep

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Key Skills

Required:
Preferred:

Practice Questions

💡Technical Questions (3)
  • 1.How would you architect a scalable data pipeline on AWS to ingest real-time data from defense APIs, transform it using Python and Pandas, and feed it into a machine learning model?
  • 2.Describe your experience with query optimization and data modeling. How do you ensure your SQL queries remain performant as data volume grows?
  • 3.Given the need to support machine learning pipelines, how have you integrated data engineering workflows with ML frameworks like Scikit-Learn or TensorFlow in the past?
🎯Behavioral Questions (3)
  • 1.Tell me about a time you had to collaborate with a multi-disciplinary team of data scientists, analysts, and developers to deliver a data platform. How did you ensure cross-functional alignment?
  • 2.Describe a situation where you identified a flaw in an existing data architecture or strategy. How did you approach improving it?
  • 3.Our culture values a 'bias for action'. Give me an example of a time you had to make a critical decision on a data engineering project without having all the information you needed.
🧩Situational Questions (2)
  • 1.You are tasked with extracting raw data from a newly provided third-party API, but the documentation is poor and the data format is inconsistent. How do you proceed?
  • 2.A mission-critical ETL pipeline that feeds a predictive intelligence dashboard fails at 2 AM, and leadership needs the dashboard updated by 6 AM. What is your immediate course of action?

Resume Keywords

Make sure these keywords appear on your resume

ETL PipelinesPythonPandasAWSNoSQLData ModelingMachine Learning PipelinesAPI IntegrationQuery OptimizationData GovernanceAgilePredictive Intelligence

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