Vendr

Senior Data Engineer (Remote)

US
API SQL AWS GraphQL Python
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Description
About Vendr
 
Vendr helps people buy and sell software without friction. As the SaaS buying category creator and leader, we’ve processed more than $2B in SaaS purchases. That number and our team are growing fast. If you’re ready to grow your career and believe in creating fair playing fields, you’ve come to the right place.
 

Our team is headquartered in Boston with a second location in Charleston, and we have more than 350 employees across the world. Through prioritizing data, velocity, and transparency, we’re building a culture that inspires amazing people like you to do their best work. Most importantly, our culture is rooted in kindness, and you’ll see that come to life in everything we do. Read more about our values.

Since 2018, we have:
  • Managed $2 Billion+ in software spend
  • Saved $300M+ for our customers
  • Given our customers thousands of hours back to focus on the important parts of their job
And we’re just getting started. If you’re looking for a chance to join a growing company, make a massive impact while solving interesting challenges, and help hundreds of customers, we want to hear from you. Join us as we forever change how people buy and sell SaaS.
 

Vendr is seeking a Senior Data Engineer to help Vendr become the world’s top authority on everything related to SaaS data. In this role, you’ll be responsible for helping Vendr make transformational changes in the way companies Find, Buy, and Manage SaaS.

At Vendr, data is foundational for our organization and our success. We are looking to expand our Data Engineering team with folks who are excited to dive in and solve some incredibly hard (and fun) engineering problems to enable Vendr to continue its incredible growth. You will join a rapidly growing innovation team focused on moving quickly, learning, and iterating.

What you'll do:

  • Designing, building, and maintaining data pipelines - simplifying overall data flows with emphasis on data quality and data observability.
  • Simplify data ingestion across common paradigms (eg. CSV / flat file upload, API, FTP, Database connection) and updates of that data (eg. One time upload, Regular updates, Data pushed, Data pulled).
  • Helping to manage data tools (eg. dbs, ETL, catalog).
  • Generally, improve how data is created, updated, read, and deleted from our entire ecosystem in all forms.
  • Providing data best practices and helping the org implement those best practices.
  • Leverage first hand experience with relevant software to inform data set improvements.
  • Identify, communicate, and lead the resolution of data gaps that impede the fulfillment of customer and operational objectives.
  • Define, monitor, and help refine metrics to validate the efficacy of our approach.
  • Establish best practices and guidelines around how we classify and represent the right software for a given customer’s business.

What we need:

  • 5+ years of data engineering or engineering with strong data emphasis

  • Technical experience as follows:

    • SQL (5+ years)
    • Snowflake (5+ years)
    • dbt (5+ years)
    • AWS (5+ years) - need a strong understanding of their ecosystem and cloud generally
      • Specific exp around - Aurora, S3, Redshift, Lambda
    • ETL Tooling (5+ years) - Stich, Fivetran, Airbyte, Hightouch
    • Data testing (5+ years)
    • GraphQL (3-5 years)
    • Python or similar (3-5 years)
  • Strong attention to detail and a keen eye for reading research.

  • Demonstrated success in delivering results working cross-functionally

  • Strong work ethic with a “get stuff done” mentality

  • Problem solver and extremely organized

  • Self-starter and quick learner with the ability to work independently

  • Flexible, agile, and adaptable; used to wearing multiple hats; does not get easily overwhelmed

  • Excellent communication skills: Written, verbal, and visual

  • Demonstrated ability to work closely and effectively with data science, engineering, user research and different business functions

  • Exceptional prioritization and project management skills

 

#LI-REMOTE

#LI-SH1

Why Vendr

  • We’re rapidly growing!
  • We’re a disruptor, we’re changing the way saas is purchased and managed
  • We have the right value proposition at this time, (we save companies time and money and help them grow efficiently)
  • We’re a startup with durable growth
  • We have great people and a strong culture, (check out our values here)
  • Competitive pay & benefits **applicable to U.S. employees, ask our team for details on our International benefits**
    • Medical, Dental, Vision with company paid premiums
    • HSA contribution
    • Flexible/unlimited PTO
    • 12 paid company holidays in addition to PTO
    • 4% 401k matching
    • WFH stipend
    • Education & wellness reimbursement
    • All Mac environment
 
Vendr is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law. While we are interested in qualified applicants who are permanently eligible to work for any employer in the United States, we are unable to sponsor or take over sponsorship for employment visas at this time.
 
To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.

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