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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building production data systems and backend services, with a strong focus on data integration, analytics, and customer engagement. Proficient in translating complex customer needs into actionable technical solutions while ensuring compliance with sensitive data handling requirements.
Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData Pipeline DesignCustomer EngagementAI Tooling Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Systems DevelopmentBackend ServicesApplied AnalyticsData IntegrationEntity ResolutionRisk SignalsData ValidationAnalytical SolutionsTechnical Solution DeliveryData Processing
Soft Skills
Analytical SkillsProblem-SolvingCommunication Skills
Tools & Technologies
AI-Assisted DevelopmentLLM-Based Applications
Certifications & Qualifications
BSc in Computer ScienceBSc in Engineering
Industry Keywords
Customer EngagementData ComplianceSensitive Data HandlingGovernment CustomersWeb Data Integration
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Join the IVIX Delivery team as a Forward Deployed Engineer
- Own customer engagements end to end, from discovery and understanding agency needs to delivering findings and measuring impact
- Identify and evaluate external data sources that expose relevant non-compliance
- Build collection and integration processes to acquire external data
- Transform raw data into reliable, actionable findings through entity resolution, risk signals, scoring, and data validation
- Design and build data pipelines, backend services, and analytical solutions for customer investigations and decision-making
- Deploy and integrate solutions into customer environments, including on-premises and air-gapped environments
- Build analytical and investigative tools, including AI-assisted features grounded in data
- Work directly with government customers to understand priorities, workflows, and challenges
- Translate customer needs into practical technical solutions
- Collaborate with Product and R&D teams and contribute customer insights and reusable solutions to the shared codebase
- Validate findings against sources, measure results, and communicate what the data can and cannot support
Requirements
What you’ll need- 5+ years of hands-on experience building production data systems, backend services, or applied analytics over large-scale, real-world data
- Strong hands-on experience with Python and SQL
- Experience acquiring, processing, and integrating data from external and imperfect sources, including web data at scale
- Experience designing and building data pipelines, backend services, and data-driven solutions
- Proven experience working directly with customers, including leading technical discussions, understanding business challenges, and translating requirements into technical solutions
- Experience delivering technical solutions into customer or production environments, including environments handling sensitive or regulated data
- Strong analytical and problem-solving skills, with the ability to work independently in ambiguous and complex environments
- Experience with modern AI tooling, including AI-assisted development and LLM-based applications
- Excellent written and verbal communication skills in English
- Willingness and ability to travel to customer sites as required
- BSc in Computer Science, Engineering, or a related field - an advantage
Benefits
Comp & perks- Full-time employment
- Remote work in the United States
- Opportunity to work with government agencies on real-world, high-impact financial crime and tax-gap problems
- Hands-on exposure to AI, OSINT, advanced data analytics, deep neural networks, large language models, predictive modeling, data engineering, and investigative technology
- Collaboration with Product and R&D teams
- Customer-facing ownership of engagements from discovery through measurable results