Data Engineer, Palo Alto

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:

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

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.

• 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.
• 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.
• Manage the assessment, design, building, and maintenance of scalable platforms for clients.
• Communicate project status and results to various levels of leadership.

• 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, Mongo
  
  DB, SQL Server, Oracle, Postgres, Hbase, Dynamo
  
  DB, 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 Tensor Flow, Scikit‑Learn, etc.)

• 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,…