AI Data Engineer

About Our Client

The organization operates at the cutting edge of the data science technology sector, focusing exclusively on solving high-stakes challenges within financial crimes risk management. The company delivers a powerful, enterprise-grade AI platform built to analyze complex signals of risk across incredibly diverse, high-volume, and unstructured text sources. By seamlessly integrating internal financial institution data with vast public domain information, the platform dramatically optimizes mission-critical compliance workflows—including Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML). This sophisticated approach empowers global financial entities to achieve unprecedented efficiency, structural speed, and regulatory accuracy amid mounting geopolitical and operational complexity.

About the Opportunity

The AI Data Engineer will join the core AI Systems team as a technical spearhead, taking direct responsibility for driving rapid data prototyping and developing highly resilient, experimental ETL pipelines. This position plays an essential role in pioneering advanced data acquisition methodologies, building robust processing pipelines, locking down continuous data quality, and enforcing strict regulatory compliance. Serving as the foundational engine of the engineering unit, this role is critical for transforming disparate, unstructured global data sources into rich, high-fidelity signals that fuel the organization's predictive risk management solutions.

Responsibilities

• Lead end-to-end data discovery, parsing, and ingestion frameworks sourcing from complex open-source intelligence (OSINT) and specialized commercial data providers
• Design, optimize, and scale high-throughput ETL pipelines, prioritizing extreme performance optimization across data indexing, query tuning, concurrency limits, and dynamic load balancing
• Champion rigorous data quality assurance methodologies and architect independent, automated pipeline testing frameworks
• Execute advanced structural parsing and semantic enrichment workflows across highly unstructured textual data, utilizing ontology management and complex knowledge graph integrations
• Maintain comprehensive governance over data compliance protocols, building thorough technical documentation and detailed metadata profiles (data cards) for compliance auditing

Requirements

• Must hold active US Citizenship (required for compliance and secure data access protocols)
• Minimum of four (4) years of progressive, relevant professional experience in data engineering or AI infrastructure (advanced technical degrees may be factored into overall tenure evaluations)
• Formal educational background in a highly technical discipline (e.g., Computer Science, Data Science, Software Engineering, or a related field)
• High proficiency leveraging AI-assisted coding tools and architecting agentic workflows, including advanced multi-agent testing paradigms
• Deep production-level experience managing relational database management systems, specifically PostgreSQL and AWS RDS environments
• Mastery of Python for data manipulation; strong conceptual familiarity or exposure to Spark/PySpark, Scala, and massive-scale data processing tools is highly advantageous
• Proven history managing large-scale, enterprise data pipelines and high-performance computing (HPC) environments
• Solid, practical command of AWS cloud management, infrastructure-as-code principles, and cloud data architecture
• Familiarity or hands-on alignment with knowledge-graph platforms and structured ontology frameworks (e.g., Neo4j, GraphDB)
• A highly self-driven, mission-oriented mindset characterized by crisp technical communication abilities
• Willingness to provide verifiable professional references and availability to attend strategic in-person meetings as required

Pay Range and Compensation Package

Target baseline salary framework: $160,000 to $200,000 USD annually
Final base salary placement within this high-value tier is calibrated dynamically based upon the candidate's core engineering depth, geographic location, system architectural experience, and specialized qualifications
Total rewards architecture features a highly competitive base salary structure paired with potential performance milestones, including lucrative equity allocations, corporate bonuses, or performance commissions

Benefits & Perks

• Top-tier annual baseline salary paired with an expansive corporate equity ownership stake
• Comprehensive enterprise medical, dental, and vision health coverage plans designed for individual and family security
• Highly flexible vacation structures and generous paid time off (PTO) frameworks promoting real personal recharge
• Secure retirement planning featuring an enterprise-backed, employer-matched 401(k) program
• A highly collaborative, modern remote engineering culture that deeply respects and protects work-life balance while tackling complex global problems

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.