Sr. Data Engineer

Sr. Data Engineer

100% Remote - Contract to hire

required/ Not accepting 3rd party resumes

About the Company

We’re partnering with a fast-growing, consumer-centric financial services brand that operates entirely direct-to-consumer. The business is digital-first, marketing-driven, and highly focused on understanding customer behavior, conversion performance, and growth efficiency.

About the Role

This Senior Analytics Engineer role is a key hire to help scale how data is modeled, transformed, and activated across the business.

Responsibilities

• Design and maintain scalable, well-structured data models in Snowflake
• Transform and integrate customer, marketing, and event-based data for analytics and activation
• Work with data from sources such as marketing platforms, customer surveys, reviews, support systems, and behavioral events
• Partner closely with analytics leadership to enable faster, more reliable decision-making
• Improve analytics foundations including semantic layers, documentation, and data usability
• Support real growth questions, including:
• Which campaigns are driving ROI?
• Where are customers dropping off in the funnel?
• How can targeting and personalization improve conversion rates?
• How do we measure and optimize customer engagement over time?

Qualifications

• 4–7 years in analytics engineering, data engineering, or similar roles
• Proven ability to work independently on loosely defined problems
• Background in direct-to-consumer, retail, e-commerce, or marketing analytics is highly valued
• Financial services experience a plus but is not required

Required Skills

• Advanced SQL and hands-on Snowflake experience
• Strong data modeling and transformation experience
• Experience working with event data, customer data, or marketing analytics
• Comfortable working in Git and modern analytics engineering workflows
• Experience with orchestration tools like Airflow or Dagster is a plus

Preferred Skills

• Sharp, inquisitive, and growth-oriented
• High mental acuity and strong analytical instincts
• Comfortable with ambiguity and fast iteration
• Able to translate business questions into practical data solutions
• Learns quickly and enjoys building clarity where none exists