Data Engineer

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.

• 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.

• 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.