Senior Data Engineer - remote

Lull

Posted 3 years ago • Goleta, CA

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. Your work hours will be in accordance to Pacific Timezone work hours.

Responsibilities:

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.

Apply