Job Title: Senior Data Engineer

Company Name: PulsePoint

Job Details: Salary,not,providedSQLAWSDockerKubernetesGCPPythonLookerScalaJavaKafkaLinuxAirflowHadoopAzureSparkLuigiBigQueryHiveSenior,and,Expert,levelRemote,from,US,,Canada,,Europe,,UK

Job Url: https://app.welcometothejungle.com/jobs/ZzM-rjGC

Job Description: Role
Who you are
8+ years of data engineering experience
Strong skills in and current experience with SQL and Python
Strong recent Spark experience (3+ years)
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
What the job involves
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
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
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
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

Application process
1) CodeSignal Online Assessment
2) Initial Screen (30 mins)
3) Hiring Manager Interview (45 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)

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Insights

Top investors

14% employee growth in 12 months

Glassdoor (4.5)

Company
Company benefits
Dollars and Sense: 401(k) match
Happy + Healthy: Comprehensive medical plans, affordable medical, dental and vision options, 100%-paid life & disability insurance
Break a Sweat: Free virtual fitness classes, Better Yourself Wellness program
Always Learning: Generous annual tuition reimbursement, ongoing team trainings
Take a Load Off: Paid vacation, sick time, and company holidays (including a floating holiday)
Good Ol' Fun: Team-building events, happy hours, holiday celebrations, and more!

Funding (last 2 of 3 rounds)

Jun 2013

$3m
EARLY VC

Jan 2013

$3m
EARLY VC

Total funding: $15.5m

Our take

PulsePoint is a healthcare tech provider that uses real-time data to provide insight into patients. It uses machine learning and programmatic automation to better understand this data, enabling clinical diagnoses and solutions to be delivered more quickly and accurately.
With its range of analytics solutions, PulsePoint aims to improve predictive aspects of healthcare. The company recently launched its Signal technology, which draws together a range of physician-to-patient data, enabling healthcare organisations to cross-reference with their own information to gain fresh insight.

The global Big Data market for healthcare is expected to be worth $78 billion by 2027, according to an analysis by Emergen Research, and PulsePoint is setting out to be a big part of this growing sector. Having been acquired by Internet Brands in 2021 but remaining an independently run entity, it will benefit greatly from the expertise and market reach of its parent company and their portfolio of health media companies, including WebMD and Medscape.

Steph
Company Specialist at Welcome to the Jungle