- Build and enhance beautifully crafted data warehouse models with dbt
- Work to understand and solve business partners' data-related challenges
- Troubleshoot data anomalies with engineering teams
- Educate and empower your customers to self-serve
- Build visualizations
- Craft data requirements for the engineering teams
- Manage a cloud-based data warehouse in Snowflake
- 2+ years experience writing performant, scalable SQL models on large data sets
- Experience with dbt, Snowflake
- Some experience with BI visualizations - we use Power BI & Mode Analytics
- Nice to have: Experience with data storage technologies outside of our regular stack
- Nice to have: Software engineering background - C#, React, PowerShell, Python
- Competitive compensation package
- Earn Paid Time Off at Accrual Rate of 15-days per year
- 6 Paid Holidays per calendar year
- Medical & Vision Insurance
- Dental Insurance
- Company paid STD/LTD
- Company paid Life Insurance
- Annual bonus incentive
- 401k match program
- Professional development & growth opportunities
- Work with nice, fun people
- FREE BOOKS
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Data Analytics Engineer - Seattle, United States - Thriftbooks
![Default job background](https://contents.bebee.com/public/img/bg-user-ex-1.jpg)
Description
As an analytics engineer at ThriftBooks, your mission is to make working with data a delightful experience for data consumers. Everything you do aligns to that one mission. Your customers are data scientists, business analysts, and executives. To accomplish your mission, you will use dbt to deliver well-defined, transformed, tested, documented, and code-reviewed data sets to your data consumers. You'll be applying software engineering best practices to analytics code through version control, testing, and continuous integration.
WHAT YOU WILL DO:
LOCATION: This is a remote, work-from-home position for those in Arizona, Georgia, Illinois, Maryland, or Texas. Since our Corporate Office is located in Tukwila, Washington, those in the Seattle area would have a hybrid schedule working one day a week in the office.
BASE SALARY:
$80,000 - $120,000. This range reflects the good-faith hiring base salary range for this position. However, individual salaries are determined by a variety of factors including, but not limited to: business considerations, local market conditions, internal equity, as well as candidate qualifications such as skills, experience, and education/training.
WHY YOU'LL LOVE IT HERE:
If you are ready for your next big challenge, we would love to hear from you
Flexible work from home options available.