Data Engineer (Secret/Top Secret), Washington D.C.

Rhombus Power Inc.; Washington (District of Columbia); On-site; USD 80,000 - 110,000; Full time

Benefits offered by this job

Full medical, dental, vision coverage

401(k) matching program

PTO and holidays

Bonus and incentive programs

Access to mental health program

Job summary

Rhombus Power Inc. is looking for a skilled Data Engineer in Washington, D.C. You will play a crucial role in designing data engineering activities that support our national security agenda. The position involves developing code, building data pipelines, and collaborating across teams to create impactful analytics.

The ideal candidate will have a Bachelor's degree and at least 1 year of experience. Strong skills in Python, ETL processes, and cloud technologies are essential. We provide comprehensive benefits including medical coverage and a 401(k) matching program.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.
• At least 1 year of professional experience or a Master's degree with strong project focus.
• Strong problem-solving skills and communication abilities.

Responsibilities

• Develop code to automate data ingestion and improve management processes.
• Architect data repositories and develop data pipelines.
• Analyze and extract data from multiple sources via APIs or SQL.

Skills

Python

Data Analytics

SQL

ETL Pipelines

AWS

Education

Bachelor's degree in Data Analytics, Computer Science, or related field

Tools

MySQL

MongoDB

PostgreSQL

TensorFlow

Job description

Location

Washington, D.C.

Job 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 code development and query work 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 value and customer success. You’ll be asked to travel to client sites to engage and collaborate directly with the client to discuss data pipelines, solutioning, and to ensure a strong client connection.

Responsibilities

• Develop code using 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 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 analytical exploration and data examination while managing 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 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 relational, NoSQL, and/or file‑based storage (e.g., MySQL, MongoDB, SQL Server, Oracle, PostgreSQL, 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 (e.g., TensorFlow, Scikit‑Learn).
• United States citizenship is a strict minimum requirement. Active Secret or Top Secret clearance is a plus.

Personal Qualities

• Ability to contextualize data as it relates to Rhombus’ vision, understanding the “why” and “so what”, not just the “how”.
• Strong problem‑solving skills and demonstrated excellent oral and written communication skills.
• Strong intellectual curiosity, creativity, and willingness to learn new skills and apply novel solutions to problems.
• Comfortable in a fast‑paced start‑up environment, consistently revising approach in response to new information.

Benefits

• Full medical, dental, vision coverage for employee and dependents.
• 401(k) 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.

Equal Opportunity Statement

Rhombus is an Equal Opportunity/Affirmative Action Employer. We are committed to hiring and retaining a diverse workforce.