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 PulsePoint 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 one of the leading players in the US healthcare ad market.

We're looking for a Data Engineer 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.

Team responsibilities - 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.

Stack - Airflow, Docker, Graphite/Beacon, Hive, Impala, Kafka, Kubernetes, Presto, Spark Streaming, SQL Server, Sqoop. Requirements - 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. Nice to have - Knowledge and exposure to distributed production systems like Hadoop. - Knowledge and exposure to cloud migration.

We offer - 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.