Data Engineer, Palo Alto

May 10

🏢 In-office - Bay Area

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Logo of Rhombus Power Inc.

Rhombus Power Inc.

Purposefully transforming the nation’s defense and national security enterprises

Artificial Intelligence • SaaS • Open AI Platform • Decision Support • Quantum Computing

51 - 200

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. As a Data Engineer, you’ll perform various code development and query needs for integration with new and existing applications, dashboards and machine learning pipelines. You’ll work cross functionally with other departments and utilize your skills at all stages of the analytics pipeline to create results that drive business values and customer success! You’ll be asked to travel to client sites where you’ll engage and collaborate directly with the client to discuss data pipelines, solutioning, and to ensure a strong client connection. This role will require travel to client sites in Honolulu, HI; Omaha, NE and/or Colorado Springs, CO. Frequency will depend on business needs and may vary at times but can be upwards of twice per month. Last minute notice to travel to client sites may be given at times.

Requirements

• A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or other relevant area (or equivalent experience) and at least 1 year of professional experience, or a Master’s degree with strong academic project 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.) • The ability to obtain and maintain a US security clearance. U.S. citizenship is required as only U.S. citizens are eligible for a security clearance • Must be eligible for Secret clearance and for TS/SCI

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

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