Data Analytics Engineer – Reporting Solutions (5+ yrs data warehouse, SQL & BI tools exp. req.)

#twiceasnice Recruiting • DC

120d • $150,000 - $200,000

About The Position

Our client is a fast-growing SaaS company in the FinTech space, providing cutting-edge solutions. Led by seasoned executives behind platforms like Workday and Zuora, the company offers a high-impact, product-led environment at the intersection of finance and technology. They are seeking a hands-on Data Analytics Engineer to join their team in Washington, DC. The ideal candidate brings hands-on, end-to-end development experience in data analytics or reporting solutions, as well as expertise in data warehouses (ex. Snowflake or similar) and BI visualization tools (ex. Google Looker or similar), with a strong command of complex SQL and data architecture. In this role, you will build and optimize the company’s analytics infrastructure – designing robust data pipelines, crafting advanced SQL transformations, and developing scalable dashboards that deliver real-time insights. If you thrive in fast-paced startup environments and are passionate about building clean, efficient data systems from the ground up, this is a unique opportunity to take ownership of the reporting stack and shape the future of analytics at a modern FinTech SaaS company.

Requirements

• 5+ years of end-to-end data analytics solution development experience required
• 5+ years of data warehouse (Snowflake or similar) experience required
• 5+ years of advanced SQL (joins, window functions, CTEs, subqueries) experience required
• 5+ years of Python for analytics, automation, and pipeline development experience required
• 5+ years of dashboard development (Google Looker or similar) experience required
• Familiar with event-based data (e.g. Segment, Amplitude) and real-time pipelines required

Responsibilities

• Architect and build scalable data pipelines and analytics
• Develop and manage data warehouses, with an emphasis on Snowflake
• Create and maintain data models and dynamic dashboards in Looker
• Write and maintain complex SQL queries for large, real-time datasets
• Develop scalable ELT pipelines using Python
• Create dashboards and visualizations that provide business insights
• Integrate data from multiple sources and ensure consistency and performance
• Continuously improve data accessibility, performance, and reliability
• Partner cross-functionally to define KPIs and BI architecture
• Document system design, data flows, and integration points
• Collaborate on the future roadmap for analytics platforms

Benefits

• Health Insurance
• 401k plan
• PTO
• Paid Holidays

What This Job Offers

• Job Type: Full-time
• Number of Employees: 51-100 employees