Senior Data Engineer Seattle, Washington

Possible is building a new type of consumer finance company focused on helping customers achieve financial health and mobility. We are a Public Benefit Corporation with a mission to unlock economic mobility through affordable credit products. Join the team that’s making this goal a reality.

We are seeking an experienced Senior Data Engineer to architect, build, and maintain data models and pipelines while mentoring team members. You will own and drive high-impact, large-scale data engineering projects from conception to production using our stack: AWS, Databricks, dbt, Airflow, and Terraform.

Possible is at an inflection point, transitioning into a multi-product, high-growth company. This senior role requires outstanding teamwork and engineering excellence as you collaborate across teams, guide architecture decisions, and set data engineering standards that support our growth.

You bring deep experience in fintech and/or a genuine passion for helping people achieve financial success and economic mobility
. You are a natural collaborator with the maturity to own problems from inception through completion, and you are senior enough to drive an agenda and deliver results even when the path forward isn’t clear.

Most importantly, you’ve built systems at this scale multiple times before
. You can thoughtfully discuss both your successes and failures, articulate trade-offs between architectural approaches, and explain why certain decisions worked in one context but not another. You’ve learned from experience what it takes to build data systems that truly scale, and you bring that wisdom to every project.

• Architect and implement highly scalable data pipelines and ETL processes while building advanced data frameworks for analytics, reporting, and machine learning applications
  .
• Lead technical initiatives and mentor junior engineers on best practices
  .
• Partner with collaborators across finance, marketing, product, and engineering to define and support their data needs while establishing data quality standards, monitoring systems, and SLAs.
• Drive our data strategy and roadmap
  , evaluate and implement new technologies
  , and establish comprehensive engineering guidelines and documentation standards.

• A minimum of 7 years of demonstrated experience in data engineering with progression in technical complexity.
• Expert-level proficiency in SQL, Python, and Spark with proven ability to optimize performance at scale, and a deep understanding of data modeling, architecture principles, and design patterns
  .
• Strong proficiency in AWS and infrastructure-as-code tools like Terraform; hands-on experience managing production environments.
• Extensive experience with modern data warehousing solutions and data lake architectures
  , advanced knowledge of orchestration tools (Airflow, Dagster, Prefect, or AWS Step Functions), and confirmed experience with dbt at enterprise scale
  .
• A strong background in data governance, security, and compliance practices and proven experience mentoring engineers and driving technical strategy and architecture decisions
  .
• Excellent communication skills with the ability to translate technical concepts to non-technical collaborators.
• Experience with monitoring/observability tools (Data Dog, Grafana, Great Expectations, Elementary), MLOps, and distributed data architectures (data mesh) is a plus.

We are backed by venture investors and serve hundreds of thousands of customers. We’re a Fin Tech Public Benefit Corporation committed to financial fairness and community empowerment. We welcome diverse perspectives and experiences to help us achieve our mission of unlocking economic mobility for generations to come.

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