Data Engineer, Washington DC

Rhombus is seeking a Data Engineer to join their team in Washington DC. In this role, you will be responsible for designing and implementing data engineering activities for mission-driven projects that inform national security. You will work on data ingestion, data management, and data pipeline development using various programming and scripting languages. Additionally, you will collaborate with a multidisciplinary team to deliver scalable platforms and communicate project status 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, are required for this role.

• 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.

• Bachelor's degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or 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 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 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 and data modeling techniques
• Familiarity with machine learning frameworks (such as TensorFlow, Scikit-Learn, etc.)
• Ability to obtain and maintain a US security clearance

• 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