Company Name: Prime Financial Technologies

Job Details: 7,Locations,In-Office,or,Remote,Senior,level

Job Url: https://builtin.com/job/staff-data-engineer/8366279

Job Description: About PrimePrime Financial Technologies is a software company with a mission to accelerate small businesses. At Prime, we harness advanced data science in credit decisioning to simplify and accelerate credit distribution to small and medium-sized businesses. Operating at the cutting edge of Embedded Finance and Ecosystem Lending, Prime’s focus is on embedded lending, where sophisticated data analytics are utilized to sharpen the accuracy of pre-qualification and underwriting processes and also deliver financial solutions that are customized to the needs of businesses. Prime’s integrations are designed specifically for marketplace and SaaS platforms, ensuring a seamless transaction experience for merchants and new diversified revenue streams for platforms. Our investors include Capital One and NEA.Most join us because they connect with our mission of democratizing access to credit for small businesses. If you are energized by the impact you can make at Prime, we’d love to hear from you!Position LocationThis role is available in the Bay Area, CA.Time Zone RequirementsThe team operates in either East/West Coast time zones.Travel RequirementsThis team has regular onsite collaboration sessions. These occur several times per year and span consecutive days in the Bay Area, CA. How You’ll Make an ImpactYou will be instrumental in building out Prime’s data mesh. As a Staff Data Engineer at Prime, you will be solving problems around data modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine learning infrastructure, and the list goes on. You will work directly with Product, Engineering, Data Science, ML, and Credit functions to understand stakeholder use cases and develop reliable, trusted data infrastructure for internal stakeholders.By joining our company at this stage, you’ll be taking on a meaningful role on an engineering team of just under 10 individuals with an average of 15 years of experience on which to draw from and learn from. You will have an immense impact on the company’s architecture and technical roadmap, not to mention the impact on financial outcomes of small business borrowers through their shared journey with Prime.What You’ll DoDesign large scale, distributed data processing systems and pipelinesEnsure the reliability and integrity of data at PrimeCollaborate with other engineering, data science, and cross functional partners in service of our customersInfluence and develop our architecture and technical roadmapWrite high quality, maintainable and scalable codeIdentify and troubleshoot issuesMaintain the quality bar for engineering excellence at PrimeStay up to date with emerging technologies, best practices, and industry trends in data engineering and software developmentCommit to integrating our core values of Win the Day, Get out of the Building, Embrace the Unknown, and Excellence as a Habit in all aspects of your daily responsibilities and professional interactionsTechnologies we useLanguages: Python, JavascriptInfrastructure: AWS, Terraform, Elastic Container Service, Elastic Load Balancer, API Gateway, SQS, SNS, Step FunctionsDatabase / Warehouse: PostgreSQL, DynamoDB, Databricks Unity CatalogDistributed Compute: Spark/DatabricksFrameworks: Flask, React, Tailwind, RESTTooling: Github, Sentry, GrafanaMultiple 3rd party financial system integrationsWhat We're Looking ForMinimum Requirements8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines4+ years as a data engineer building data productsDirect hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc)Passion for everything data: data models, catalogs, analytics, pipelines, and solving complex data problemsExperience with the complete development cycle, from product definition to deliveryExcellent communication skillsGrowth mindsetBias to actionEvidence of constant learningThe motivation and ability to work well in a high-growth and dynamic environmentPreferred qualificationsExperience serving Data Science & ML Engineering TeamsStart up and fintech experience a huge plusDevOps knowledgeWhat You'll LoveCompetitive salary and equity grantsTop tier medical, dental vision insuranceLife insurance and disability benefitsPersonal development, technology, and ergonomic Budgets401K matchingUnlimited PTO, work from home flexibility, and parental leaveTransparent company culture and proactive communication via weekly all hands, lunch & learns, and monthly founder AMAsSenior team of experienced professionals highly motivated to solve tough problems and ship remarkable productsJoin our growing team as we build out the next generation of lending infrastructure for small businesses.