Staff Data Engineer

About This Opportunity

We are representing a confidential insurance technology client seeking a Staff Data Engineer to lead financial data operations. This is a remote position available across the United States.

Our client is building next-generation data infrastructure to power critical financial systems including commissions, payments, and incentive programs. As a Staff Data Engineer, you'll serve as a technical leader driving architectural decisions and delivering solutions with multi-quarter impact. You'll work at the intersection of Finance, Product, and Engineering to shape strategy and build scalable data pipelines that support high-stakes financial workflows.

The platform includes end-to-end data collection tools, scoring pipelines, and analytics interfaces used by analysts, data scientists, and finance teams. Your mission will be to dramatically expand capabilities through platform-level tooling that accelerates data source onboarding, partner integrations, experimentation cycles, and analytics infrastructure.

Responsibilities

• Partner with Finance, Product, Data Science, Analytics, and domain experts to define quarterly strategy and technical roadmap
• Identify and champion critical technical initiatives that increase effectiveness across products, systems, and teams
• Coach and guide engineers in planning experiments and projects aligned with strategic objectives
• Contribute code each development cycle to advance team impact and lead by example
• Lead incident response efforts and drive continuous improvement of system resiliency
• Collaborate with Staff Engineers across the organization to establish and evangelize standards and best practices
• Make architectural decisions for financial data systems handling commissions, payments, and incentives
• Build scalable data infrastructure enabling rapid decision loops for analytics and data science teams

What We're Looking For

Required Qualifications:

• 8+ years of data engineering or software engineering experience with extensive data engineering expertise
• Proficiency in Python and SQL
• Strong experience with Redshift, Spark, Apache Iceberg, and Terraform
• Expertise in Airflow and dbt for orchestration and transformation
• Deep knowledge of cloud architecture (AWS strongly preferred)
• Proven track record leading projects involving multiple teams across functional domains
• Excellent communication skills with both engineering colleagues and senior business leaders

Bonus Qualifications:

• Experience building large-scale finance, payments, and commissions systems

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening. If there's a strong match, we'll submit your candidacy to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for you.

This is a remote position available across the United States. The role requires video participation during virtual interviews as part of the client's standard assessment process.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Employment Opportunity: Get A Job.ai is committed to fostering an inclusive recruiting process. We welcome candidates of all backgrounds and work to ensure fair consideration throughout our screening and submission process.