Staff Data Engineer

Prime

jobsincanada.one

About Prime

Prime Monetary Applied sciences is a software program firm with a mission to speed up small companies. At Prime, we harness superior information science in credit score decisioning to simplify and speed up credit score distribution to small and medium-sized companies. Working on the chopping fringe of Embedded Finance and Ecosystem Lending, Prime’s focus is on embedded lending, the place subtle information analytics are utilized to sharpen the accuracy of pre-qualification and underwriting processes and likewise ship monetary options which can be custom-made to the wants of companies. Prime’s integrations are designed particularly for market and SaaS platforms, guaranteeing a seamless transaction expertise for retailers and new diversified income streams for platforms. Our buyers embody Capital One and NEA.

Most be a part of us as a result of they join with our mission of democratizing entry to credit score for small companies. In case you are energized by the affect you can also make at Prime, we’d love to listen to from you!

Place Location

This function is obtainable within the following places: Los Angeles, CA, NYC metro space, or Bay Space, CA.

Time Zone Necessities

The group operates in both East/West Coast time zones.

Journey Necessities

This group has common onsite collaboration periods. These happen a number of occasions per yr and span consecutive days within the Bay Space, CA, Los Angeles, CA, or NYC workplace. If you might want to journey to make these meetups, Prime will cowl all journey associated bills.

How You’ll Make an Affect

You may be instrumental in constructing out Prime’s information mesh. As a Workers Knowledge Engineer at Prime, you may be fixing issues round information modeling, scale, integrity, denormalization, availability, warehousing, analytics, machine studying infrastructure, and the checklist goes on. You’ll work straight with Product, Engineering, Knowledge Science, ML, and Credit score features to know stakeholder use circumstances and develop dependable, trusted information infrastructure for inside stakeholders.

By becoming a member of our firm at this stage, you’ll be taking up a significant function on an engineering group of just below 10 people with a median of 15 years of expertise on which to attract from and study from. You’ll have an immense affect on the corporate’s structure and technical roadmap, to not point out the affect on monetary outcomes of small enterprise debtors via their shared journey with Prime.

What You’ll Do

  • Design massive scale, distributed information processing methods and pipelines

  • Make sure the reliability and integrity of information at Prime

  • Collaborate with different engineering, information science, and cross useful companions in service of our clients

  • Affect and develop our structure and technical roadmap

  • Write prime quality, maintainable and scalable code

  • Determine and troubleshoot points

  • Keep the standard bar for engineering excellence at Prime

  • Keep updated with rising applied sciences, greatest practices, and business traits in information engineering and software program growth

  • Decide to integrating our core values of Win the Day, Get out of the Constructing, Embrace the Unknown, and Excellence as a Behavior in all facets of your each day duties {and professional} interactions

Applied sciences we use

  • Languages: Python, Javascript

  • Infrastructure: AWS, Terraform, Elastic Container Service, Elastic Load Balancer, API Gateway, SQS, SNS, Step Capabilities

  • Database / Warehouse: PostgreSQL, DynamoDB, Databricks Unity Catalog

  • Distributed Compute: Spark/Databricks

  • Frameworks: Flask, React, Tailwind, REST

  • Tooling: Github, Sentry, Grafana

  • A number of third social gathering monetary system integrations

What We’re Wanting For

Minimal Necessities

  • 8+ years {of professional} information engineering or software program engineering expertise, with a give attention to heterogeneous, large-scale information processing for machine studying pipelines

  • 4+ years as an information engineer constructing information merchandise

  • Direct arms on expertise with extremely scalable information pipelines utilizing BigData applied sciences (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, and so on)

  • Ardour for the whole lot information: information fashions, catalogs, analytics, pipelines, and fixing complicated information issues

  • Expertise with the whole growth cycle, from product definition to supply

  • Wonderful communication expertise

  • Progress mindset

  • Bias to motion

  • Proof of fixed studying

  • The motivation and skill to work nicely in a high-growth and dynamic atmosphere

Most popular {qualifications}

  • Expertise serving Knowledge Science & ML Engineering Groups

  • Begin up and fintech expertise an enormous plus

  • DevOps information

What You may Love

  • Aggressive salary and fairness grants

  • High tier medical, dental imaginative and prescient insurance coverage

  • Life insurance coverage and incapacity advantages

  • Private growth, expertise, and ergonomic Budgets

  • 401K matching

  • Limitless PTO, make money working from home flexibility, and parental depart

  • Clear firm tradition and proactive communication by way of weekly all arms, lunch & learns, and month-to-month founder AMAs

  • Senior group of skilled professionals extremely motivated to unravel powerful issues and ship outstanding merchandise

Be part of our rising group as we construct out the subsequent technology of lending infrastructure for small companies.

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