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Senior Data Engineer

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timePosted 2 months ago location Worldwide salarySalary undisclosed
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Job Description

This position is fully remote (work from home).Summary:

Lull is disrupting the e-commerce industry as a top rated D2C mattress and bedding company, and industry leader in digital marketing optimization, predictive modeling, and analytics. We are looking for a Senior Data Engineer who is eager to lead Lull's data engineering initiatives. Lull's data engineering team powers the analytics, reporting, and predictive modeling engine that provides insights for the entire company. We have ambitious plans to use our advanced models and analytics for new products and new ventures. We need you to lead the data engineering initiatives that are the foundation for these plans. You must have an interest in the business applications of your work, as you will be partnering closely with internal business units to execute high impact data projects. Your curiosity and breadth of technological expertise allow you to understand how the pieces of our architecture fit together. You thrive when given responsibility and autonomy, and you can execute a data engineering project from conception to production.Available Locations: Remote - While our headquarters are in Santa Barbara, California, you can telecommute from anywhere in the U.S.


  • Owning all Analytics Data Infrastructure
  • Monitoring daily ELT processes
  • Continuously evolving Lull's data engineering architecture
  • Building and Maintaining:
    • API data extraction integrations with ad platforms
    • ELT for reporting, analytics, and machine learning
  • Growing and training our data engineering team
  • Creating lean development processes and standards
  • Training analysts on our analytics database for the purpose of self-serve SQL
  • Liaising with backend software engineers
  • 70% of time spent building, coding and executing
  • 30% of time spent managing and training

Note: You will not be training or designing machine learning models.

Technologies you will use:

  • AWS: Redshift, S3, DMS, Spectrum, EC2, Lambda, DynamoDB, Cloudwatch, more
  • DBT (data build tool - fishtown analytics)
  • Kubernetes
  • Python (Pandas, Jinja)
  • Heap Analytics (extraction)
  • Ad Tech APIs: Facebook, Pinterest, Snapchat, etc
  • Git/GitHub
  • Apache Spark
  • Jira

Minimum Requirements: 

  • 2-5 years' experience in data engineering & ELT
  • Expert in using cloud technologies to build data pipelines
  • Strong interest in the business applications of your work
  • Thrives when given autonomy and independence
  • Management, mentorship, or leadership experience
  • Methodical troubleshooter and QA
  • Organizational and project management skills 
  • PostgreSQL (Redshift) or equivalent
  • Power user of AWS or equivalent
  • Experience with data extraction from APIs
  • Python
  • CLI
  • Git/GitHub

A Strong Candidate has experience in/with:

  • Direct to Consumer/E-commerce industry
  • Hiring and growing a team
  • Multi-touch marketing attribution
  • Event stream architecture: Snowplow, Kinesis
  • Website Analytics
  • Machine learning infrastructure

Reasons to Love Lull:

  • Healthy work life balance - Our people are highly engaged and passionate about their work. We highly value work/life; we live in paradise
  • We promote professional development through in-house training, conferences, online courses, and hands-on experience
  • Incredible Team - We surround ourselves with talented, professional and friendly team members
  • Generous vacation - We love our work, but we recognize that it is just as important to get away and we encourage you to take the time you need.
  • Benefits - We have generous benefits
  • A team dedicated to serving their community
  • A free mattress after 90 days - you'll love it

Our Values:

  • Our customers are the priority
  • Data drives our decisions
  • We are results focused
  • We strive for constant improvement
  • We communicate openly and honestly
  • We practice humility
  • Everyone adds value
  • We assume ownership and accountability
  • We work to live

Please address your cover letter to Tyler, Sr. Data Science Manager, and let us know how many pillows you sleep with.