Senior Data Engineer
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Job Location:
Seattle, OR - USA
Monthly Salary:
Not Disclosed
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
Since our founding we have redefined how people approach small-dollar loansdelivering over $1 billion in funding to more than 1 million customers issuing over 4 million loans and saving our customers more than $500 million.
At Possible were building a new type of consumer finance company; one that helps our customers stay out of debt rather than profit from their staying in it. We are a Public Benefit Corporation with the mission to help communities unlock economic mobility through affordable credit products crafted to improve financial health for generations. Join the team thats making our goal a reality.
About Us
We are seeking an experienced Senior Data Engineer to architect build and maintain sophisticated data models and pipelines while mentoring team members across the organization. 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 skills and engineering excellence as you collaborate across teams guide architecture decisions and set data engineering standards that support our growth.
You Are
You bring deep experience in fintech and/or a genuine passion for helping people achieve financial success and economic mobility. Youre a natural collaborator with the maturity to own problems from inception through completion and youre senior enough to drive an agenda and deliver results even when the path forward isnt clear.
Most importantly youve built systems at this scale multiple times before. You can thoughtfully discuss both your successes and failures articulate the trade-offs between different architectural approaches and explain why certain decisions worked in one context but not another. Youve learned from experience what it takes to build data systems that truly scale and you bring that hard-won wisdom to every project.
Responsibilities
You will architect and implement highly scalable data pipelines and ETL processes while building advanced data frameworks for analytics reporting and machine learning applications. Leading technical initiatives and mentoring junior engineers on best practices will be central to your role.
Partnering with collaborators across finance marketing product and engineering you will define and support their data needs while establishing data quality standards monitoring systems and SLAs. You will drive our data strategy and roadmap evaluate and implement new technologies and establish comprehensive engineering guidelines and documentation standards.
Requirements
This position requires a minimum of 7 years of demonstrated experience in data engineering with continued progression in technical complexity. You must possess expert-level proficiency in SQL Python and Spark with proven ability to optimize performance at scale along with a deep understanding of data modeling architecture principles and design patterns.
Strong proficiency in AWS and infrastructure-as-code tools like Terraform is essential with hands-on experience managing production environments. You must have 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 is required along with 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 are essential.
Experience with monitoring and observability tools (DataDog Grafana Great Expectations Elementary) MLOps and distributed data architectures such as data mesh will distinguish exceptional candidates.
With the backing of our venture investors Union Square Ventures Canvas Ventures Euclidean Capital and Unlock Venture Partners a dedicated following of hundreds of thousands of customers and an extraordinary team we are unwavering in our fight for financial fairness. As one of only a few FinTech Public Benefit Corporations weve baked our dual dedication to building a profitable and socially impactful company into our charter;we only succeed when our customers do too. Give us a shout if youd like to help us ship financial products that protect consumers from predatory lending practices and promote economic health.
Possible Finance is dedicated 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.
Learn more about us as a Public Benefit Company.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
We believe in financial fairness. Get cash in minutes even with bad credit, build credit history to access new opportunities, and fight costly bank fees.
