Data Engineer/Scientist

Data Engineer/Scientist

Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies.

RCS is seeking a Data Engineer/Scientist to conduct high profile and short fuse data science and targeting requirements on a priority mission. This requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. It requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.

This position requires the candidate to work onsite in McLean, VA. Relocation assistance is not available.

What you will do:

• Work closely with other teams, including data science and programming teams within the Sponsors broader mission component. The Sponsor project manager will manage the priorities, with working to implement those priorities.
• Take the mission needs and convert those into technical milestones consistent with the Sponsors data science requirements.
• Develop and manage data processing ETL pipelines.
• Provide ad hoc training to Sponsors data users on custom tools and data exploitation consistent with established use cases.
• Use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
• Identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
• Identify existing or emerging data science workflows within the Sponsors broader office that would accelerate the Sponsors data science mission.
• Leverage all available big data and data science coding platforms, tools, and similar to implement Sponsors technical goals for data management.
• Anticipate having to CONUS and OCONUS travel, infrequently at the Sponsors direction.

Required Qualifications/Education:

• Clearance: Active TS/SCI clearance with Full Scope Polygraph
• Mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
• Complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
• Leveraging unsupervised machine learning models to answer complex customer queries.
• A range of Python packages and graph databases.
• Ability to write queries that span multiple big data repositories of differing levels of sensitivity.
• Backend software engineering processes and scientific computing with proven experience with relevant programming languages.

Nice to Have Qualifications:

• Track record of fulfilling Sponsor mission needs and scaling capabilities to production.
• Leading complex data science teams.
• Machine learning solutions.
• Working with foreign and domestic partners of the Sponsor.
• Writing custom algorithms for data exploitation.
• Complex graph database queries.
• Working in high operational tempo environments.

RCS is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Our company uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities as an applicant, please visit www.dhs.gov/E-Verify

All RCS work locations are drug-free workplaces.