Data Engineer

About Empirical Root

Empirical Root is a full-stack data analytics firm helping fast growing SaaS, E-commerce, media, and consumer service companies root their decisions in data. We’ve helped dozens of companies that have raised over a combined 1.5 billion dollars in venture capital accelerate their growth, optimize their products, and refine their business processes using data - and we’re just getting started.

How you’ll spend your day

Your day may be spent writing code to extract data from an API or database, transforming data in SQL, or performing a life-time value analysis. Your work environment will be fast-paced and collaborative, and you’ll regularly be working with new technologies, data models, and breakthrough companies.

About you

• You are passionate about data and making data driven decisions

• You have lots of hustle and are a fast learner

• You have expert level Python & SQL knowledge

• You are familiar with ETL tools (bonus points for Airflow & dbt)

• You are familiar with "big data" technologies like Redshift, BigQuery, Snowflake, Spark, S3, Kafka, Kinesis.

• You are familiar with either AWS or GCP, or both!

• You have 4+ years of professional experience and related academic background

Benefits

• You’ll work on a wide variety of of projects with innovative companies

• Flexible working hours - work when you want. We minimize meetings and don’t really care when you work as long as you get the work done well and we’re meeting deadlines.

• Fully remote - work where you want.

• Education stipend ($500/year/employee)

• Health and wellness stipend ($500/year/employee)

• Competitive compensation

How to apply

Submit your resume, brief statement of interest, and any other relevant information to careers@empiricalroot.com, and we’ll be in touch!