Possible Financial Inc.
Data Engineer New Seattle, Washington, United States
Possible Financial Inc., Washington, District of Columbia, us, 20022
Were on a mission to help our customers and their communities unlock economic mobility for generations to come.
Join the team thats making our goal a reality. At Possible, were building a new type of consumer finance company. One that helps our customers stay out of debt rather than profit from them staying in it. As a Public Benefit Corporation, it is our mission and responsibility to help communities unlock economic mobility through affordable credit products crafted to improve financial health. Founded in 2017, our lead VCs are Canvas and Union Square Ventures. We have over 100,000 reviews on the App Store with a 4.8-star average rating. 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. 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, 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. 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. 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. Interested in building your career at Possible Finance? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What excites you about Possible Finance and this opportunity? * Please include a link to your LinkedIn Profile Are you legally authorized to work in the United States? * Select... Do you now or in the future require visa sponsorship to continue working in the United States? * Select... Please describe your salary expectations for this role. * Do you live in Seattle? * Select... Are you willing to relocate to Seattle if you don't live there? * Select... #J-18808-Ljbffr
Join the team thats making our goal a reality. At Possible, were building a new type of consumer finance company. One that helps our customers stay out of debt rather than profit from them staying in it. As a Public Benefit Corporation, it is our mission and responsibility to help communities unlock economic mobility through affordable credit products crafted to improve financial health. Founded in 2017, our lead VCs are Canvas and Union Square Ventures. We have over 100,000 reviews on the App Store with a 4.8-star average rating. 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. 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, 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. 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. 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. Interested in building your career at Possible Finance? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf What excites you about Possible Finance and this opportunity? * Please include a link to your LinkedIn Profile Are you legally authorized to work in the United States? * Select... Do you now or in the future require visa sponsorship to continue working in the United States? * Select... Please describe your salary expectations for this role. * Do you live in Seattle? * Select... Are you willing to relocate to Seattle if you don't live there? * Select... #J-18808-Ljbffr