API Developer/Data Engineer Managing Consultant-Fraud/AI

Guidehouse•Tysons Corner, VA

2d•Hybrid

About The Position

The API Developer/Data Engineering Managing (Lead) Consultant serves as a trusted advisor and delivery lead for AI and Data engagements. This role owns solution strategy, oversees delivery teams, develops technical solutions, and partners with clients to drive measurable business outcomes.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).
Based on our contractual obligations, candidate must be located within the United States and a US Citizen.
Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST" clearance.
5+ years of experience in data engineering, system integration, or platform engineering roles.
Proficiency in Python, Java/JS, .NET (C#), RESTful API, XML, and strong SQL skills (including SQL Server) with experience integrating APIs with enterprise applications, databases, and third-party systems.
Proficiency in Java/JS, .NET (C#), RESTful API, XML for data transformation, querying, and API development.
Proficiency working with various data structure formats (CSV/TXT, JSON, XML, Parquet, etc.).
Strong hands-on experience with API development and integration, including: Building and managing data pipelines, Ontology/data model development and relationship mapping, Integration of data across multiple systems
Experience working within cloud platforms (particularly GCP) for scalable data transformation, enrichment, and analytics workflows.
Strong understanding of data modeling, schema alignment, and metadata management across integrated systems.
Experience implementing data quality, validation, and governance controls.
Familiarity with cloud security and access controls, including IAM, encryption, and audit logging.
Proven ability to lead technical workstreams, mentor junior staff, and collaborate across cross-functional and matrixed teams.

Nice To Haves

Experience building APIs for and/or working with entity validation/entity resolution solutions.
Experience with API gateways (Apigee, Kong, Azure API Management, AWS API Gateway).
Experience with Python and SQL (including SQL Server).
Previous experience working with federal agencies or government environments, including familiarity with security, compliance, and data governance requirements.
Previous experience working with LexisNexis (or other similar third-party data provider) products via API endpoints and integrating data into solution environment(s).
Experience working in a consulting environment and/or delivering solutions in a matrixed organization.
Experience supporting training, user enablement, and scaling of technical capabilities across teams or organizations.
Experience building AI/ML-enabled data products, particularly those leveraging unstructured data (e.g., NLP, document processing, image-based analytics).
Familiarity with ontology-driven applications, graph-based data modeling, and relationship analytics.
Experience implementing role-based access control (RBAC) and auditability compliance.
Relevant certifications or demonstrated expertise.
Experience with fraud and/or FinCrime data and monitoring systems.
Hands-on experience with financial crime compliance technology and data solutions, e.g., Oracle Mantas, Actimize, Fircosoft, LexisNexis Bridger, World-Check, Dow Jones, Chainalysis, Elliptic, TRM Labs, etc.

Responsibilities

Lead the design, development, and deployment of data integration and API solutions within related data platforms.
Architect and implement end-to-end data pipelines, including ingestion, transformation, validation, and delivery of structured and unstructured data.
Develop and maintain ontology models, data schemas, and relationships to support analytics, search, and operational use cases.
Integrate data across multiple systems and platforms (e.g., cloud storage, APIs, analytics environments) using scalable and secure patterns.
Collaborate with cross-functional teams (data engineering, analytics, product, and security) to ensure seamless system interoperability and data consistency.
Implement data validation, quality assurance, and governance processes (e.g., completeness checks, schema validation, metadata integrity).
Support development of AI-enabled capabilities (e.g., semantic search, entity resolution, analytics) by enabling high-quality, well-structured data pipelines.
Operate within an Agile delivery model, contributing to sprint planning, backlog refinement, user story development, and iterative delivery of technical solutions.
Translate business and mission needs into technical requirements and scalable integration designs.
Ensure compliance with security, privacy, and audit requirements, including role-based access controls, logging, and data protection standards.
Drive technical design decisions, mentor junior engineers, and act as a technical lead within a matrixed team environment.

Benefits

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend