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Senior Data Engineer
Confirmed live in the last 24 hours
United States
Experience Level
Desired Skills
Data Science
  • 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, strong attention to detail, 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
  • 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

201-500 employees

SaaS buying & management platform
Company Overview
Vendr’s mission is to forever change how companies find, buy, and manage SaaS. The company is committed to helping teams everywhere with their platform that finds new tools, manages procurement, and saves on costs.
  • Unlimited vacation policy
  • Paid holidays
  • Paid sick days
  • Parental leave & flexible scheduling
  • Health, dental and vision insurance with 100% paid premiums
  • 401k
  • Company equity
  • Performance bonuses
  • Wellness and mental health reimbursement budgets
  • Equipment budget
Company Core Values
  • #kindness-as-a-service
  • #save-your-sorrys
  • #make-magic
  • #we-are-awesome