Senior Analytics Engineer (Platform - Financial Analytics)

You will design, build, and operate analytics data pipelines and curated datasets that enable financial workflows and audit-ready reporting. You will investigate and fix data gaps, perform reconciliations across sources, develop data quality tests and monitoring, and deliver dashboards and abstractions to translate finance requirements into durable, reliable data products.

Responsibilities

• Build subject matter expertise in specific business and data domains
• Understand data flows end to end from creation to delivery
• Design and deliver data pipelines and analytics insights
• Collaborate with engineering teams to remediate data gaps
• Perform reconciliations and validate data across internal and external sources
• Build curated data models for ledger verification and accounting workflows
• Propose engineering improvements to increase match accuracy and speed
• Develop abstractions such as UDFs, Python packages, and dashboards
• Create debugging frameworks for AI/data applications used by non-technical stakeholders
• Implement data quality tests, monitoring, alerts, and SLAs
• Improve reliability and operational excellence of critical pipelines

Requirements

• Strong understanding of modular and reusable data model design (star and snowflake schemas)
• Proficiency in advanced SQL for transformation, querying, and optimization
• Expertise in scripting and Object-Oriented Programming to build scalable frameworks
• Experience building and optimizing ETL/ELT pipelines using tools like dbt
• Experience orchestrating data workflows with Airflow including DAG design and backfills
• Proficiency in building dashboards with Looker, Tableau, Superset, or Python visualization libraries
• Familiarity with version control (GitHub) and CI/CD workflows
• Hands-on experience with data lake/warehouse architectures such as Snowflake or Databricks
• Experience implementing data quality frameworks, monitoring, incident response, and stakeholder SLAs
• Familiarity with statistics and probability
• Experience with prompt engineering and designing prompts for LLMs and generative AI

Benefits

• Equity
• Bonus eligibility
• Medical insurance
• Dental insurance
• Vision insurance
• 401(k)