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About the role
We are hiring our first data engineer to build the data foundation for Solstice's media activation and measurement products. Our long-term goal is to close the loop between the content we create, the audiences who see it, and the outcomes it drives, then use that evidence to make the next campaign better.
What they're looking for
- Must-haves
- Strong Python and SQL, with experience building and operating production data systems
- Deep experience with ETL or ELT pipelines, data modeling, workflow orchestration, and a modern cloud warehouse or lakehouse
- Experience ingesting messy third-party data and reconciling records across systems with inconsistent identifiers and schemas
- Strong instincts for data correctness: validation, lineage, observability, backfills, deduplication, and failure recovery
- Experience designing systems that are reliable under growing volume, changing partner contracts, and imperfect upstream inputs
More about this role
Solstice is redefining how life sciences organizations commercialize their therapeutics. We are building a commercial engine that allows pharmaceutical marketers to launch campaigns at 100x the speed.
Rapid growth: over the past year, we have worked with some of the world's top life sciences manufacturers and more than 50 pharma brands.
Frontiers of technology: we are building applications and rapidly iterating at the frontiers of AI to expand what is possible in pharmaceutical marketing.
Top-tier investors: we have raised from investors including Transformation Capital, Twelve Below, Virtue, and the founders of Datavant, Commure, and Paradigm.
Building anything great requires commitment and dedication. We are looking for someone who wants to take real ownership of a difficult, consequential data problem.
We are hiring our first data engineer to build the data foundation for Solstice's media activation and measurement products. Our long-term goal is to close the loop between the content we create, the audiences who see it, and the outcomes it drives, then use that evidence to make the next campaign better.
Doing that requires reliable data across systems that were not designed to...
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