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Dataspace is seeking an experienced data engineer for a growing insurer, owning pipelines from source to target and driving continuous improvement.
You'll work with a modern stack (dbt, Dagster, Databricks) and bring strong SQL, Python, and orchestration skills, plus Snowflake experience. The role is permanent, full-time, and remote-friendly within the US, with preference for candidates near NYC or Chicago.
Are you an experienced data engineer tired of being shoehorned into one piece of the data engineering puzzle? Do you want to take on big challenges and own your pipelines from source to target? Do you want to work with a modern data stack for a company where data is key to the growth strategy?
We’re working with a feisty, rapidly growing insurer that’s investing heavily in their data technology and their data team. Want to play a part?
The work includes interpreting business requirements, designing pipelines, implementing those pipelines, and finding opportunities for continuous improvement. Today’s toolset includes dbt, Dagster, and Databricks. Tomorrow's? Tell us where we can improve.
This client has offices across the US and in the Caribbean. While we’ll consider remote candidates (within the US), we prefer those near NYC or Chicago.
This is a permanent, full-time position.
In addition, we’d love a candidate who’s worked in the insurance industry.
$160,000 to $200,000 per year PLUS benefits including 401k with a 5% match and unlimited PTO.
You’ll be a big fish in a growing pond. Your ideas are important. You’ll own your pipelines from start to finish, and you’ll work with the latest technologies.