Rhombus Power Logo

Rhombus Power

Data Engineer, Palo Alto

Posted 4 Days Ago
Easy Apply
In-Office
Palo Alto, CA
Mid level
Easy Apply
In-Office
Palo Alto, CA
Mid level
The Data Engineer will design and implement data engineering activities, build and maintain data infrastructure, and collaborate across teams to meet business needs.
The summary above was generated by AI

Rhombus Power 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 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.

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. 

Top Skills

AWS
DynamoDB
Hbase
Machine Learning Frameworks
MongoDB
MySQL
Numpy
Oracle
Pandas
Postgres
Python
Scikit-Learn
SQL
SQL Server
TensorFlow

Rhombus Power Mountain View, California, USA Office

Mountain View, CA, United States, 94035

Similar Jobs

21 Minutes Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
85K-110K Annually
Junior
85K-110K Annually
Junior
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
As a Business Development Representative, you'll qualify leads, collaborate with teams, manage sales opportunities, and support Superhuman's growth in education markets.
43 Minutes Ago
Remote or Hybrid
CA, USA
Mid level
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
As a Security Engineer, you'll drive security analytics and automation, research attacker techniques, and develop scalable systems for detection and response.
Top Skills: DockerGoKibanaKubernetesLogscalePythonSIEMSoarSplunkTerraform
2 Hours Ago
In-Office
San Francisco, CA, USA
122K-195K Annually
Senior level
122K-195K Annually
Senior level
Cloud • Fintech • Food • Information Technology • Software • Hospitality
Lead the M&A deal cycle, support strategic analysis, integration of deals, and cross-functional project management. Build relationships within the industry.
Top Skills: Ai ToolsFinancial ModelingValuation Methodologies

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account