We're looking for a solid data engineer who can work
with our customers, has a product mindset, can write high-quality Spark code, and is articulate
in communication.
This role gives you the unique opportunity to sculpt the next wave of data tools, revolutionizing
how enterprise teams handle their data transformation. We only seek A players to work with
other A players in our high-growth startup.
● Build product packages
○ Build reusable Spark, SQL, and Airflow packages that solve repeated problems
in data engineering (e.g., data quality, auditing, and connectors)
○ Write high-performance Spark code
Ideally You Would Have
● Customer-facing Experience
○ Experience in a technical customer-facing role - preferably solution engineering
or wanting to do such a role
○ Ability to form relationships with executives and influencers
○ Ability to present a convincing point-of-view to important decision-makers that
leads them down a path of success
● Technical Experience
○ Experience in Apache Spark, and you can write Python or Scala code
○ Experience in complex data engineering (ETL) and have solved many
performance issues with Spark jobs
○ Experience in a technical customer-facing role - preferably solution engineering
or wanting to do such a role
● Bachelor in CS (preferred)