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Data Engineer
Omaha
Confirmed live in the last 24 hours
Locations
Omaha, NE, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Agile
AWS
Data Analysis
C/C++/C#
Java
MongoDB
MySQL
NumPy
Pandas
Perl
Postgres
Scala
SQL
Tensorflow
Python
NoSQL
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
  • 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
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
Rhombus Power

51-200 employees

Strategic national security AI platform
Company Overview
Rhombus is on a mission to transform the nation’s defense and national security enterprises with Guardian, its Artificial Intelligence platform for strategic, operational, and tactical decision-making at the speed of relevance. Rhombus analyzes, builds, and maintains organizations' data infrastructure and processing systems.
Benefits
  • Full medical, dental, vision coverage
  • 401k matching program
  • PTO and Holidays
  • Bonus and other incentive programs