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Experienced Remote Data Engineer – Big Data Processing, Cloud Migration, and Distributed Systems Expertise

June 17, 2026

Introduction to PulsePoint and Our Mission

Imagine being part of a leading healthcare ad technology company that leverages real-world data in real-time to optimize campaign performance and revolutionize health decision-making. At PulsePoint, we're committed to delivering unparalleled results to our clients by targeting healthcare professionals and patients with an unprecedented level of accuracy. As a part of Internet Brands, a KKR portfolio company and owner of WebMD Health Corp, we're poised for exponential growth and seeking talented individuals to join our team. Our Data Engineering team plays a vital role in driving this growth, and we're excited to invite a skilled Data Engineer to join our ranks.

About Our Data Engineering Team

Our Data Engineering team is responsible for designing, building, and maintaining reliable and scalable enterprise-level distributed transactional data processing systems. We process over 80 billion impressions a day, generating over 20 TB of data (200 TB uncompressed), which is used to drive our optimization engines, update budgets, and provide real-time statistics and reports. We're a team that thrives on adopting proven open-source technologies to make our data infrastructure more nimble, scalable, and robust. Some of the cutting-edge technologies we've recently implemented include Kafka, Spark Streaming, Presto, Airflow, and Kubernetes.

Job Overview

As a Data Engineer at PulsePoint, you will be responsible for designing, building, and maintaining large-scale data systems, optimizing data processing workflows, and ensuring data quality across our systems. You will collaborate with a small team of diverse technology backgrounds, providing mentorship and guidance to junior team members. Your expertise will be crucial in driving our business growth, supporting new initiatives, and enhancing our data infrastructure.

Key Responsibilities

Design, build, and maintain reliable and scalable enterprise-level distributed transactional data processing systems for scaling 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 and 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 ensure they meet our standards

Technologies We Use

We're proud to work with a range of cutting-edge technologies, including:

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
GCP - BigQuery for performance, Looker for dashboards

Requirements

To be successful in this role, you'll need:

5+ years of data engineering experience
Fluency in Python and SQL
Experience in Scala/Java is a plus (Polyglot programmer preferred!)
Hive/Presto experience
Proficiency in Linux
Strong understanding of RDBMS and query optimization
Passion for engineering and computer science around data
Ability to work during East Coast U.S. hours (9am-6pm EST preferred, but we can be flexible as long as you can work until 1 or 2pm EST)
Knowledge and exposure to distributed production systems (e.g., Hadoop)
Knowledge and exposure to Cloud migration (AWS/GCP/Azure) is a plus

Selection Process

Our selection process typically involves the following steps:

Recruiter Screen (30 minutes)
Hiring Manager Interview (45 minutes)

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...