Job Description

Duties:

What we look for in you (ie. job requirements):

• Minimum 5 years of relevant experience in analytics engineering, data engineering, or data-heavy technical roles (level dependent).
• Advanced SQL skills (complex transformations, performance tuning, data quality checks).
• Experience building and maintaining ETL/ELT pipelines and data models (e.g., dbt, Airflow, or equivalent orchestration/transformation tools).
• Strong data modeling fundamentals (modular design, reusable patterns, dimensional modeling concepts).
• Working Python skills for automation, pipelines, and analysis
• Demonstrated ability to execute on ambiguous, cross-functional projects with clear written and verbal communication.
• High ownership mindset with strong attention to detail and comfort operating in regulated environments.
• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Skills:

Nice to haves:

• Domain experience in BSA/AML, Transaction Monitoring, sanctions screening, KYC/EDD, fraud, or investigations.
• Familiarity with Snowflake/Databricks and modern warehouse/lakehouse patterns.
• Experience with GitHub-based workflows, CI/CD for data, and data observability tools.
• Experience building dashboards in Looker/Tableau/Superset (or equivalent).
• Applied statistics/experimentation, root-cause analysis, or detection performance measurement.
• Interest in crypto, blockchain analytics, or on-chain/off-chain data integration.

Education:

Bachelors