AI Data Engineer
About The Position
Quantifind helps major banks detect money laundering and fraud, and assists government agencies in uncovering criminal networks and combating money laundering by sanctioned entities. Our AI platform, delivered as a SaaS with consumer-grade user experiences, uncovers risk signals from diverse and unstructured text sources. In financial crimes risk management, our solution uniquely combines internal financial institution data with public domain data for KYC, CDD, Fraud Risk Management, and AML processes. We offer a supportive environment fostering collaboration, learning, and professional growth, with a flexible work environment and family-friendly work-life balance.
Requirements
- US Citizen
- 4+ years of professional experience, including graduate or Ph.D. work if relevant
- Technical education
- Forward-leaning in AI coding, with traditional technical training as a foundation
- Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation
- Database management experience: PostgreSQL, RDS
- Core stack: Python.
- Solid AWS cloud management experience
- Self-driven, mission-driven, curious, and constructive — a startup mindset with strong communication skills
- Ability to provide references and meet in person
Nice To Haves
- Helpful: Spark/PySpark, Scala, and other large-scale data tooling
- Experience with large data pipelines, high-performance computing, and Spark/PySpark
- Knowledge-graph and ontology frameworks (e.g., Neo4j)
Responsibilities
- Drive data prototyping and experimental ETL pipelines.
- Drive data discovery, open-source intelligence (OSINT) and related data acquisition, and commercial data ingestion.
- Build and manage reliable ETL pipelines with a focus on speed from discovery to value, including database indexing, performance tuning, concurrency, and load balancing.
- Perform data quality assurance and independent testing.
- Work across structured and unstructured data parsing, enrichment, data architecture, ontology management, knowledge graphs, and data fusion.
- Manage data compliance, documentation, and data cards.
Benefits
- Competitive salary
- Company Equity
- Exceptional benefits package
- Flexible Vacation & Paid Time Off
- Employer-matched 401(k) plan
- A fun environment where work-life balance is valued
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What This Job Offers
Job Type
Full-time
Career Level
Senior
