A bit about us:PulsePoint is a leading healthcare ad technology company that uses real-world data in real-time to optimize campaign performance and revolutionize health decision-making. Leveraging proprietary datasets and methodology, PulsePoint targets healthcare professionals and patients with an unprecedented level of accuracy—delivering unparalleled results to the clients we serve. The company is now a part of Internet Brands, a KKR portfolio company and owner of WebMD Health Corp.Data EngineerPulsePoint Data Engineering team plays a key role in our technology company that’s experiencing exponential growth. Our data pipeline processes over 80 billion impressions a day (> 20 TB of data, 200 TB uncompressed). This data is used to generate reports, update budgets, and drive our optimization engines. We do all this while running against tight SLAs and provide stats and reports as close to real-time as possible.The most exciting part about working at PulsePoint is the enormous potential for personal and professional growth. We are always seeking new and better tools to help us meet challenges such as adopting proven open-source technologies to make our data infrastructure more nimble, scalable and robust. Some of the cutting-edge technologies we have recently implemented are Kafka, Spark Streaming, Presto, Airflow, and Kubernetes.What you'll be doing:Design, build, and maintain reliable and scalable enterprise-level distributed transactional data processing systems for scaling the existing business and supporting new business initiativesOptimize jobs to utilize Kafka, Hadoop, Presto, Spark, and Kubernetes resources in the most efficient wayMonitor and provide transparency into data quality across systems (accuracy, consistency, completeness, etc)Increase accessibility and effectiveness of data (work with analysts, data scientists, and developers to build/deploy tools and datasets that fit their use cases)Collaborate within a small team with diverse technology backgroundsProvide mentorship and guidance to junior team membersTeam Responsibilities:Ingest, validate and process internal & third party dataCreate, maintain and monitor data flows in Python, Spark, Hive, SQL and Presto for consistency, accuracy and lag timeMaintain and enhance framework for jobs(primarily aggregate jobs in Spark and Hive)Create different consumers for data in Kafka using Spark Streaming for near time aggregationTools evaluationBackups/Retention/High Availability/Capacity PlanningReview/Approval - DDL for database, Hive Framework jobs and Spark Streaming to make sure they meet our standardsTechnologies We Use:Python - primary repo languageAirflow/Luigi - for job schedulingDocker - Packaged container image with all dependenciesGraphite - for monitoring data flowsHive - SQL data warehouse layer for data in HDFSKafka - distributed commit log storageKubernetes - Distributed cluster resource managerPresto/Trino - fast parallel data warehouse and data federation layerSpark Streaming - Near time aggregationSQL Server - Reliable OLTP RDBMSGCP - BigQuery for performance, Looker for dashboardsRequirements5+ years of data engineering experienceFluency in Python and SQLExperience in Scala/Java is a plus (Polyglot programmer preferred!)Hive/Presto experienceProficiency in LinuxStrong understanding of RDBMS and query optimization;Passion for engineering and computer science around dataEast Coast U.S. hours 9am-6pm EST preferred, but we can be flexible as long as you can work until 1 or 2pm EST; you can work fully remotelyKnowledge and exposure to distributed production systems i.e HadoopKnowledge and exposure to Cloud migration (AWS/GCP/Azure) is a plusSelection Process:1) Recruiter Screen (30 mins)2) Hiring Manager Interview (45 mins)3) Tech challenge take-home4) SQL & Python Interview (60 minutes)5) Team Interviews (60 mins + 3 x 45 mins) + SVP of Engineering (15 mins)6) WebMD Sr. Director, DBA (30 mins)WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.