Scan your resume against ATS criteria for this Data Engineer role at Npv.
tl;dr: Data Engineer; post-acquisition profitable health/adtech; processing 20TB+ daily at near-realtime speed; Python, Spark; remote, up to 150k USD base, we can talk higher figures and EU/UK/US employment
sits at the intersection of healthcare and adtech. We help brands and agencies interpret the hard-to-read signals across the health journey and unify these digital determinants of health with real-world data to produce the most dimensional view of the customer. We are 300+ and growing, post-acquisition business and of the leading players in the US healthcare ad market.
We're looking for a
to join a team, playing a key role at a technology company experiencing exponential growth. The data pipeline processes over 80 billion impressions a day (20TB+ of data, 220TB uncompressed), powering reports, budget updates, and optimization engines against extremely tight SLAs, with stats and reports delivered as close to real-time as possible.
Install, maintain, and monitor Kafka, Hadoop, Presto, and RDBMS systems.
Ingest, validate, and process internal and third-party data.
Create, maintain, and monitor data flows in Hive, SQL, and Presto for consistency, accuracy, and lag time.
Maintain and enhance the framework for jobs (primarily aggregate jobs in Hive).
Build Kafka consumers using Spark Streaming for near-real-time aggregation.
Train developers and analysts on data tools.
Evaluate, select, and implement new tools.
Handle backups, retention, high availability, and capacity planning.
Review and approve DDL for databases, Hive framework jobs, and Spark Streaming to ensure standards are met.
Participate in 24×7 on-call rotation for production support.
BA/BS degree in Computer Science or a related field.
5+ years of software engineering experience.
Strong Spark expertise, Spark Streaming is highly desirable.
Proficiency in Linux.
Fluency in Python; experience with Scala/Java is a strong plus.
Strong understanding of RDBMS and SQL.
Willingness to participate in 24×7 on-call rotation.
Knowledge and exposure to distributed production systems like Hadoop.
Knowledge and exposure to cloud migration.
Remote work, high engineering bar and comfortable culture.
Flat hierarchy with easy access to business, product, and operations.
Enormous scale (80B+ impressions/day) with real growth potential.
Ownership and direct impact, you have room to shift focus as your interests evolve.
Up to 150k USD salary, higher figures and EU/UK/US employment are negotiable.
How to apply for Data Engineer at Npv?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
The salary for this role is USD 90,000 - 150,000/yr per annum.
What experience is required?
5+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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