AI Data Engineer

Quantifind

, UAE

Mid

Hybrid

Data EngineeringETLPythonSparkPySparkPostgreSQL

Free

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Key skills for this role

Data EngineeringETLPython

You are an experienced data engineer with a modern AI tooling perspective. You've built and managed large scale ingestion pipelines from discovery through to performant products in high stakes systems.
You bring a data architecture mindset, and are focused on ontologies, frameworks, documentation, and unifying value across heterogeneous sources into knowledge graphs.
You are familiar with investigative products built on open source intelligence.
You're comfortable managing complexity across both structured and unstructured pipelines, and you're genuinely curious about data: its provenance, its quality, and its ultimate value to customers.
You have a responsible mindset and are familiar with the legal and compliance limits on data use.
You're also an engineer who codes with AI as a first class tool, not an add on.

Quantifind helps some of the world’s biggest banks catch money laundering and fraud.
Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities.
Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources.

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. Helpful: Spark/PySpark, Scala, and other large scale data tooling
Experience with large data pipelines, high performance computing, and Spark/PySpark
Solid AWS cloud management experience
Knowledge graph and ontology frameworks (e.g., Neo4j)
Self driven, mission driven, curious, and constructive — a startup mindset with strong communication skills
Ability to provide references and meet in person

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.

Quantifind’s development team is centered in Palo Alto, California, and we have technology hubs in Atlanta, Georgia, and in Washington, D.C.
Quantifind is currently using a hybrid mix of working from home and in the office, with regular in person touchpoints and shared office space.
Remote candidates will be considered for this role. If in person, minimum 3 days per week in office.

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