Senior Data Engineer - Financial Analytics Platforms

Overview

Hybrid
Depends on Experience
Full Time
No Travel Required

Skills

Accounting
Amazon Web Services
Analytics
Automated Testing
Cash Flow
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Dashboard
Data Engineering
Data Quality
FP&A
Finance
Orchestration
Partnership
Profit And Loss
Reporting
SQL
Scripting

Job Details

Senior Data Engineer Financial Analytics Platform

About the Role

We are looking for a Senior Data Engineer who thrives at the intersection of data engineering and finance. In this role, you ll design and deliver the data pipelines, models, and tools that power executive-level financial reporting helping the business understand Net Revenue, EBITDA, Free Cash Flow, and more.

You ll work closely with FP&A, Accounting, and business leaders to turn complex financial concepts (like consolidations, inter-company eliminations, and multi-currency reporting) into a robust and scalable cloud data platform. This is a hands-on engineering role where you ll own both the technical delivery and the partnership with stakeholders.

What You ll Do

  • Build and maintain clean, scalable Snowflake data models that support financial reporting and dashboards.

  • Design and implement dbt pipelines that transform raw data into trusted financial metrics.

  • Write efficient, production-grade SQL to calculate key statements like P&L, balance sheets, and cash flows.

  • Develop lightweight Python tools for automation, testing, and data quality.

  • Optimize the performance and cost of our Snowflake environment, ensuring fast, reliable dashboards.

  • Enforce proper governance, security, and access controls on sensitive financial data.

  • Work closely with FP&A and Accounting teams to deeply understand and translate their reporting needs into data solutions.

  • Mentor teammates, share best practices, and raise the bar for data engineering in the org.

What We re Looking For

  • Strong experience in data engineering, with at least 2 3 years building on Snowflake at scale.

  • Strong SQL skills, especially for financial data aggregation and time-series patterns.

  • Experience designing and maintaining dbt projects (with tests and documentation).

  • Proficiency in Python for scripting and light ETL automation.

  • Experience supporting financial or executive reporting with a solid understanding of eliminations, consolidations, and multi-currency adjustments.

  • Familiarity with CI/CD, orchestration tools (Airflow, Dagster, Prefect), and AWS cloud platform.

  • Ability to explain complex technical topics to finance leaders and to dig into business logic with Accounting & FP&A.

  • Bachelor s degree in Computer Science, Engineering, Finance, Accounting, or related field.

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