Principal Data Analytics Engineer

Remote - USA

Full Time Senior-level / Expert
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Looking to better manage cash flow, pay virtually anything by credit card, or accept credit card with no merchant fees? Try Plastiq.
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At Plastiq, every decision we make is backed by data. Our Analytics and Data Science team leverages big data to empower business decisions and deliver data models to drive business growth.
We are looking for an entrepreneurial member with passion, fresh ideas, and eagerness to accelerate the design, development, implementation, testing, and operation of large-scale and high-performing data solutions. As Principal Data Analytics Engineer you will work closely with cross-functional teams including product, marketing, sales, operations, and many engineering squads to develop tools and data products that elevate the data-driven strategies. You will exhibit technical acumen with a passion for making an impact through delivering best-in-class data, analytics, and data science products.

Your Responsibilities

  • Design and build high quality data management solutions to support analytics operations
  • Architect and build data pipelines to improve operational efficiency and data integrity
  • Architect and manage the BI infrastructure 
  • Partner with other engineering teams to enable the exchange of data and data science assets 
  • Design and build a streamlined internal machine learning platform to deliver insights and recommendations
  • Identify opportunities to enhance analytics and data science operations

Your Minimum Required Experience

  • Bachelor's degree in Computer Science, Computer Engineering, Mathematics or a related field 
  • 7+ years of industry experience as a Data Engineer or related specialty (e.g., Business Intelligence Engineer, Data Scientist), working with large datasets 
  • 7+ years of hands-on experience in writing complex and optimized queries to manipulate structured and unstructured datasets
  • Rich experience in building and managing data warehouses, relational databases and data pipelines
  • Prefer deep experience with Snowflake and AWS 
  • Skilled with at least one of the high level programming languages (e.g., Python, Javascript, Java)
  • Experience defining data engineering roadmaps and delivering projects on schedule
  • Experience providing technical leadership and mentoring engineers in the data engineering space
Plastiq is a smart payment platform designed for businesses to better manage their payments and cash flow. The platform lets companies maximize their existing credit, pay in whatever way is best for their business—regardless of what payment methods their recipients accept—and get paid by card without the burden of card acceptance fees. Businesses can pay globally in more than 40 countries, and Plastiq works with all major credit card providers, including Mastercard, Visa, American Express, and Discover. Plastiq has millions of customers and has processed billions in payments for a wide range of expenses, from business supplier payments and contractors to taxes and rent. Plastiq has won a number of awards and recognitions, including being named to the 2020 Forbes FinTech 50 and 2020 Bay Area Best Places to Work by the San Francisco Business Journal.
Job perks/benefits: Career development
Job region(s): North America
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