Senior Data Engineer, DP Team

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.

Sr. Data Engineer

PulsePoint 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 initiatives

Optimize jobs to utilize Kafka, Hadoop, Presto, Spark, and Kubernetes resources in the most efficient way

Monitor 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 backgrounds

Provide mentorship and guidance to junior team members

Team Responsibilities:

Ingest, validate and process internal & third party data

Create, maintain and monitor data flows in Python, Spark, Hive, SQL and Presto for consistency, accuracy and lag time

Maintain 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 aggregation

Tools evaluation

Backups/Retention/High Availability/Capacity Planning

Review/Approval - DDL for database, Hive Framework jobs and Spark Streaming to make sure they meet our standards

Technologies We Use:

Python - primary repo language

Airflow/Luigi - for job scheduling

Docker - Packaged container image with all dependencies

Graphite - for monitoring data flows

Hive - SQL data warehouse layer for data in HDFS

Kafka - distributed commit log storage

Kubernetes - Distributed cluster resource manager

Presto/Trino - fast parallel data warehouse and data federation layer

Spark Streaming - Near time aggregation

SQL Server - Reliable OLTP RDBMS

• Apache Iceberg

GCP - BigQuery for performance, Looker for dashboards

Requirements

6+ years of data engineering experience

Fluency in Python and SQL

• Strong recent Spark experience
• Experience working in on-prem environments
• Hadoop and Hive experience

Experience in Scala/Java is a plus (Polyglot programmer preferred!)

Proficiency in Linux

Strong understanding of RDBMS and query optimization

Passion for engineering and computer science around data

East Coast U.S. hours 9am-6pm EST; you can work fully remotely

• Notice period needs to be less than 2 months (or 2 months max)

Knowledge and exposure to distributed production systems i.e Hadoop

Knowledge and exposure to Cloud migration (AWS/GCP/Azure) is a plus

Location:

• We can hire as FTE in the, U.S., UK and Netherlands
• We can hire as long-term contractor (independent or B2B) in most other countries

Selection Process:

1) Recruiter Screen (30 mins)

2) Hiring Manager Interview (45 mins)

3) CodeSignal Online Assessment (90 mins)

4) Tech Challenge

5) Interview with Sr. Data Engineer (60 mins)

6) Team Interviews (90 mins + 3 x 45 mins) + SVP of Engineering (30 mins)

7) WebMD Sr. Director, DBA (30 mins)

Note that leetcode-style live coding challenges will be involved in the process.

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.