Offer summary

Qualifications:

6+ years of data engineering experience., Fluency in Python and SQL., Strong recent experience with Spark., Experience with Hadoop and Hive..

Key responsibilities:

Design, build, and maintain scalable data processing systems.

Optimize data jobs using Kafka, Spark, and Kubernetes.

Monitor and ensure data quality across systems.

Collaborate with analysts and data scientists to improve data accessibility.

Job description

Description

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

Note that in the U.S. we can only hire as full-time employee, not contractor (we can hire contractors in most other countries).

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
Knowledge and exposure to distributed production systems i.e Hadoop
Knowledge and exposure to Cloud migration (AWS/GCP/Azure) is a plus

Benefits:

Comprehensive healthcare with medical, dental, and vision options, and 100%-paid life & disability insurance
401(k) Match
Generous paid vacation and sick time
Paid parental leave & adoption assistance
Annual tuition assistance
Better Yourself Wellness program
Group volunteer opportunities and fun events
A referral bonus program -- we love hiring referrals here at PulsePoint

And there’s a lot more!

Follow us on Glassdoor to learn more about what it’s like to work at PulsePoint!

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.

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