About the role
What you'll be doing:
Reporting to the VP of Analytics and Data Science, the Analytics Engineer will be a part of new
customer implementations and help turn business requirements into code. Working with diverse
data from customers across a variety of industries, you’ll build and optimize code for big data
pipelines, architectures, and data sets.
A bit more about the team:
has a data platform that is growing in complexity, with internal and external APIs, and
user interfaces for internal teams. The Analytics and Data Science team is the bridge between our
customers and the Engineering team. We work closely with various teams to learn about our
customers’ businesses and configure the platform to best support their incentive
compensation programs.
What we're looking for:
- Experience in Python development
- Experience working with SQL and/or Pandas
- Experience building automated data ingestion and ETL/ELT pipelines
- Ability to communicate business requirements with disciplines across multiple teams
- Strong sense of customer empathy
- Eagerness to exercise existing skills and acquire new ones, with a true passion for data
- Excitement to experiment with new technologies that improve the efficiency of current
data ingestion processes
Nice to haves:
- PySpark, Databricks, and API experience is a bonus