About the position
Rhombus is seeking a Data Engineer to join their team in Honolulu, HI. The ideal candidate will be responsible for designing and implementing data engineering activities on mission-driven projects that inform national security. They will be involved in developing code, architecting data repositories, and building data pipelines for ingestion, transformation, and aggregation. The Data Engineer will collaborate with a multi-disciplinary team and communicate project status and results to leadership. A Bachelor's degree in a relevant field and at least 1 year of professional experience, or a Master's degree with strong academic project experience, is required.
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.
- Develop scripts and programs for converting various types of data into usable formats and support project teams 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.
Requirements
- 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
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