Data Engineer at Skupos Inc.

| San Francisco
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About Skupos
Skupos is the data platform for the convenience retail industry. Retailers, distributors, and brands connect to the Skupos network to create value from disparate data. Convenience retail is a long-standing industry with limited technology adoption, but is responsible for more revenue annually than all of e-commerce in the United States. Skupos leverages our massive datasets to build tools that help the industry succeed.
Skupos software integrates at a retailer’s point of sale, generates analytical insights, and automates the inventory and ordering process. For distributors and CPG brands, we provide real-time visibility into consumer purchasing decisions and enable automated promotional discounts at the point of sale. We view our company as revolutionizing a brick-and-mortar industry by bringing cutting-edge technology to physical stores, and helping harness data to create a frictionless connection between millions of people and the products they need.
What You'll Do
Skupos is seeking a Data Engineer to help build the foundation of our big data platform. As we pave the way for our data product offerings, you will architect, develop and deploy data solutions at scale using modern data technologies. You will have an opportunity to drive the tech stack for this platform. Come, join us and be in charge of your career trajectory and leverage coaching/mentorship opportunities with your manager to write your own success story at Skupos and beyond. 


  • Build data pipelines for the end to end data ecosystem:
  • Data integration and Ingestion from multiple external data providers/partners.
  • Data processing in accordance with product requirements, ensuring data security and compliance throughout the pipeline. 
  • Data Storage layer - Maintain a Single Source of Truth. 
  • Data Access layer - Make data available for reporting, dashboards, analytics, business intelligence needs.
  • Data Science and Machine Learning modeling. 
  • Collaborate with cross-functional technical, product and business teams to take ownership of data projects to ensure a complete end to end customer experience.
  • Research and recommend technologies to build data solutions at scale with near real-time processing of data using service oriented architecture. 
  • Improve project delivery and decrease process redundancy and overhead.
  • Foster a lean agile development culture within the team with emphasis on code quality and software best practices. 

Minimum Qualifications

  • BA/BS in business, computer science; or similar degree in a related field or equivalent experience with demonstrated proficiency
  • 3+ years of hands-on experience building big data pipelines using streaming technologies (Kafka, Spark, or similar) in cloud environments. 
  • 5+ years experience in database technologies, including RDBMS, NoSQL, Document storage, graphs, and distributed file systems.
  • Advanced skills with functional programming languages (Scala, Python, R, Java, or similar)
  • Experience with data warehouse architecture and data modeling for Business Intelligence.
  • Working knowledge of BI tools (Tableau, Looker, Snowflake, or similar)

Preferred Qualifications

  • Startup experience
  • Subject matter knowledge on retail industry
  • Experience building SAAS software

What We Offer
Competitive salary
Healthcare benefits
Commuter benefits
Major role in a strong, small and growing development team
Be a part of a key platform of product offerings to the retail convenience store industry
What are your goals and aspirations? Build your technical skills, business acumen, and leadership with Skupos.

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Technology we use

  • Engineering
    • PythonLanguages
    • RubyLanguages
    • SqlLanguages
    • ReactLibraries
    • Node.jsFrameworks
    • Ruby on RailsFrameworks


1462 Pine St, San Francisco , CA 94109

What are Skupos Inc. Perks + Benefits

Volunteer in local community
Friends outside of work
Eat lunch together
Intracompany committees
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Documented equal pay policy
Unconscious bias training
Health Insurance & Wellness Benefits
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Retirement & Stock Options Benefits
Company Equity
Child Care & Parental Leave Benefits
Generous Parental Leave
Family Medical Leave
Vacation & Time Off Benefits
Unlimited Vacation Policy
Paid Holidays
Paid Sick Days
Perks & Discounts
Casual Dress
Commuter Benefits
Company Outings
Stocked Kitchen
Some Meals Provided
Pet Friendly
Professional Development Benefits
Lunch and learns
Acme Co. hosts lunch and learn meetings once per month.
Cross functional training encouraged
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