AI Data Engineer

Who You Are

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. You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows. You move fast, iterate with stakeholders, and care about shipping things that work.

Who We Are

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. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.

Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.

To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance.

What a Great Candidate Looks Like

• 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

The Opportunity We Offer

As an AI Data Engineer on Quantifind's AI Systems team, you'll drive data prototyping and experimental ETL pipelines.

Data Engineering:

• 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.

Quantifind's development team is centered in Palo Alto, California, with technology hubs in Atlanta, Georgia, and Washington, D.C. We currently use 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; if in person, minimum 3 days per week in office.

A highlight of our 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

The base salary range for this full-time position is $160k to $200k. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

We are an equal opportunity employer; we have a fun place to work and a devotion to succeeding together.

Will you join us? Apply now!