Rhombus
Washington, DC
Data Engineer - Secret/Top Secret - Washington D.C.
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Apply to Data Engineer - Secret/Top Secret - Washington D.C. at RhombusJob details
- Location
- Washington, DC
- Work type
- Onsite
- Posted
- 3 days ago
- Apply on
- job-boards.greenhouse.io
About this role
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.
## 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.
- Use experience in analytical exploration and data examination while managing the assessment, design, building, and maintenance of scalable platforms for clients.
- Communicate project status and results to various levels of leadership.
## Qualifications
- A Bachelor’s degree in Data Analytics, Computer Science, Computer Engineering, Information Systems/Sciences, or another relevant area, or equivalent experience, and at least 1 year of professional experience; alternatively, a Master’s degree with strong academic project experience.
- Experience with one or more programming and scripting languages, with a strong focus on Python, Pandas and Numpy. Other languages include Shell, PERL, Java, C/C++/C#, and Scala.
- Experience with one or more relational, NoSQL, and/or file-based storage systems, such as MySQL, MongoDB, SQL Server, Oracle, Postgres, Hbase, and DynamoDB.
- Experience building and maintaining ETL data pipelines.
- Experience with the software development life cycle, including testing, documenting, delivery and support.
- Working knowledge of AWS and cloud technologies.
- Experience using query optimization and data modeling techniques.
- Familiarity with machine learning frameworks such as TensorFlow and Scikit-Learn.
- United States Citizenship is a strict minimum requirement. An active Secret or Top Secret clearance is a plus.
## Personal Qualities
- Ability to contextualize data as it relates to Rhombus’ vision and understand the “why” and “so what”, not just the “how”.
- Strong problem-solving skills and demonstrated excellent oral and written communication skills.
- 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, with the ability to revise approaches in response to new information and remain flexible and adaptive.
## Benefits
- Full medical, dental, and vision coverage for employees and dependents.
- 401k matching program.
- PTO and holidays.
- Bonus and other incentive programs.
- Access to a mental health program.
- Access to Flexible Spending Accounts for health care, dependent care, and commuter expenses.
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