Data Engineer
At Possible, we create financial technology products that are built to benefit our customers’ economic mobility. As a Public Benefit Corporation, it’s not only our mission but our responsibility to succeed. We grow our team accordingly—through a selective process that prioritizes candidate and employee experience alike.
Job Description
We are seeking a hardworking Data Engineer to join our ambitious data team. As a Data Engineer at Possible Financial Inc., you will craft, build, and maintain world-class data models and pipelines. Collaborate cross-functionally to drive data-driven decision-making and successfully implement innovative solutions.
Are you interested in architecting flawless data infrastructure while making a positive societal impact? Have you always wanted your work to have a mission to help underserved communities?
Join us in Seattle, WA, and work on high-impact, large-scale data engineering projects. We apply AWS, Databricks, dbt, Airflow, and Terraform. We are looking for a self-starter with outstanding abilities to deliver on time and a passion for data to solve business problems.
Responsibilities
----------------
- Design and implement scalable data pipelines and ETL processes
- Build and optimize data models for analytics and machine learning applications
- Collaborate with finance, marketing, and other teams to support their data needs
- Develop and maintain cloud-based data infrastructure (AWS + Databricks)
- Implement data quality measures and monitoring systems
- Evaluate and implement new data technologies and tools
Requirements
------------
- 3+ years of experience in data engineering or a similar role
- Knowledge of SQL, Python, and Spark
- Strong understanding of data modeling and architecture principles
- Proficiency in cloud platforms like AWS, GCP, or Azure and IaC tools such as Terraform
- Experience with modern data warehousing solutions
- Knowledge of at least one orchestration tool (e.g., Airflow, Dagster, Prefect, AWS Step Functions)
- Experience with dbt or similar transformation tools
- Background in implementing data governance and security practices
Preferred Qualifications
------------------------
- Experience with real-time data processing systems such as Kafka, Kinesis, etc.
- Knowledge of machine learning operations (MLOps)
- Familiarity with monitoring and observability tools like DataDog, Grafana, Great Expectations, and Elementary
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, we’ve 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 you’d like to help us ship financial products that protect consumers from predatory lending practices and promote economic health.
This is a Hybrid position. We work in the office three days a week, and our office is centrally located in downtown Seattle.
The compensation range for this role is $142,000 to $150,000. We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.
We are seeking a hardworking Data Engineer to join our ambitious data team. As a Data Engineer at Possible Financial Inc., you will craft, build, and maintain world-class data models and pipelines. Collaborate cross-functionally to drive data-driven decision-making and successfully implement innovative solutions.
Are you interested in architecting flawless data infrastructure while making a positive societal impact? Have you always wanted your work to have a mission to help underserved communities?
Join us in Seattle, WA, and work on high-impact, large-scale data engineering projects. We apply AWS, Databricks, dbt, Airflow, and Terraform. We are looking for a self-starter with outstanding abilities to deliver on time and a passion for data to solve business problems.
Responsibilities
- Design and implement scalable data pipelines and ETL processes
- Build and optimize data models for analytics and machine learning applications
- Collaborate with finance, marketing, and other teams to support their data needs
- Develop and maintain cloud-based data infrastructure (AWS + Databricks)
- Implement data quality measures and monitoring systems
- Evaluate and implement new data technologies and tools
Requirements
- 3+ years of experience in data engineering or a similar role
- Knowledge of SQL, Python, and Spark
- Strong understanding of data modeling and architecture principles
- Proficiency in cloud platforms like AWS, GCP, or Azure and IaC tools such as Terraform
- Experience with modern data warehousing solutions
- Knowledge of at least one orchestration tool (e.g., Airflow, Dagster, Prefect, AWS Step Functions)
- Experience with dbt or similar transformation tools
- Background in implementing data governance and security practices
Preferred Qualifications
- Experience with real-time data processing systems such as Kafka, Kinesis, etc.
- Knowledge of machine learning operations (MLOps)
- Familiarity with monitoring and observability tools like DataDog, Grafana, Great Expectations, and Elementary
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, we’ve 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 you’d like to help us ship financial products that protect consumers from predatory lending practices and promote economic health.
This is a Hybrid position. We work in the office three days a week, and our office is centrally located in downtown Seattle.
The compensation range for this role is $142,000 to $150,000. We also offer significant stock options, comprehensive benefits, a bonus plan, commuter benefits, and an excellent office space with complimentary drinks and food options.
