Staff Data Engineer at Prime building data infrastructure to enhance fintech solutions for small businesses. Collaborating with cross-functional teams and ensuring data integrity in scalable systems.
Responsibilities
Design large scale, distributed data processing systems and pipelines
Ensure the reliability and integrity of data at Prime
Collaborate with other engineering, data science, and cross functional partners in service of our customers
Influence and develop our architecture and technical roadmap
Write high quality, maintainable and scalable code
Identify and troubleshoot issues
Maintain the quality bar for engineering excellence at Prime
Stay up to date with emerging technologies, best practices, and industry trends in data engineering and software development
Commit 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 interactions
Requirements
8+ years of professional data engineering or software engineering experience, with a focus on heterogeneous, large-scale data processing for machine learning pipelines
4+ years as a data engineer building data products
Direct 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 problems
Experience with the complete development cycle, from product definition to delivery
Excellent communication skills
Growth mindset
Bias to action
Evidence of constant learning
The motivation and ability to work well in a high-growth and dynamic environment
Benefits
Competitive salary and equity grants
Top tier medical, dental vision insurance
Life insurance and disability benefits
Personal development, technology, and ergonomic Budgets
401K matching
Unlimited PTO, work from home flexibility, and parental leave
Transparent company culture and proactive communication via weekly all hands, lunch & learns, and monthly founder AMAs
Senior team of experienced professionals highly motivated to solve tough problems and ship remarkable products
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