Overview

BRMi is seeking a Knowledge Graph Engineer to join a dynamic team of dedicated data engineering professionals supporting the Department of Homeland Security (DHS) Office of the Chief Information Officer (OCIO).

This role will support innovative and complex data solutions and visualizations to DHS users. The Data Engineer is responsible for collaborating with the ECS technical leads to support the design and development of a knowledge graph and supporting tools in an open-source application environment. This role must be able to build and maintain data models, engineer data architectures, and develop data integrations such as extract, transform, and load (ETL) workflows . Additionally, this individual must work closely with other architecture and engineering disciplines to establish data best practices for analysis, modeling, designing, and building business information systems.

We need an engineer who can dive into the code and create new code to pull together the pipeline. At a senior data engineer level it would also be expected that the candidate would be able to contribute to the vision and articulate the value of a new data architecture that embraces semantic principles .

*Can be 100% remote in TX, NJ, NC, WV, AL, VA, MD, MO, DC, GA, or FL*

Responsibilities

• Assist an enterprise data team in designing, modeling, building, and maintaining data for complex, extensible, and highly visible data platforms

• Collaborate with technology and business teams to champion robust, flexible, and scalable data architectures

• Work with the team to establish data pipelines and policies to populate a knowledge graph from disparate sources

• Work with data engineers from DHS Component organizations to develop, test, and troubleshoot data pipelines to feed a knowledge graph

• Document, present, and evangelize as necessary to establish the data platform of the future

• Other duties as assigned

Qualifications

• U.S. Citizenship

• Ability to obtain and maintain a DHS suitability clearance

• BS degree in Computer Science or related field/equivalent experience

• 7 years’ experience in design, analysis, and implementation of information systems architecture

• Must be clearable and/or have the ability to obtain a DHS EOD Suitability.

• Experience working with at least one major graph database in a production environment

• Knowledge of semantic data and ontology design and development tools and concepts

• Familiarity with ontology development tools and machine reasoning concepts

• Experience and knowledge working with graph databases and concepts like data mesh

Desired Skills

• Experience interacting closely with key project stakeholders to design, plan, and implement sustainable solutions

• Knowledge of data management and data architecture concepts

• Experience architecting and modeling mission-critical ETL, and integrated data solutions

• Experience developing and maintaining code in Python and Jira

• Experience working with Apache Jena and developing SPARQL queries

• Understanding of common Python Natural Language Processing (NLP) tools

• Experience at DHS and knowledge of DHS standards

* BRMi will not sponsor applicants for work visas for this position.*

*This is a W2 opportunity only*

EOE/Minorities/Females/Vet/Disabled

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes.

Job Locations VA | MD | WV | DC | MD | FL | NC | TX

Posted Date 1 month ago (3/26/2024 7:16 AM)

ID 2024-3741

# of Openings 1

Category Analytics