Principal Data Engineer, Wizard

$235-285k

+ Equity

MongoDB

Python

Postgres

Cassandra

Hadoop

MySQL

Spark

DynamoDB

Senior and Expert level

Remote from US

More information about location

Conversational AI for eCommerce customer engagement

Open for applications

Conversational AI for eCommerce customer engagement

21-100 employees

B2BArtificial IntelligenceMarketingeCommerceSales

Open for applications

$235-285k

+ Equity

MongoDB

Python

Postgres

Cassandra

Hadoop

MySQL

Spark

DynamoDB

Senior and Expert level

Remote from US

More information about location

21-100 employees

B2BArtificial IntelligenceMarketingeCommerceSales

Company mission

To build a world where finding what you need is simple, fast, and fund - and where scouring the internet is a thing of the past.

Job

Company

Role

Who you are

8+ years of software development and data engineering experience with demonstrated ownership of production grade data infrastructure
Bachelor's degree in Computer Science or a related field, or equivalent practical experience
Deep expertise in building ETL pipelines using Apache Spark, Databricks, or Hadoop is required
Strong understanding of distributed computing and modern data modeling techniques for scalable systems
Expert in Python with experience implementing software engineering best practices
Solid understanding of distributed computing and data modeling for scalable systems
Hands-on experience with both relational (MySQL / PostgreSQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases
Excellent communicator and collaborator, with a passion for mentoring, knowledge-sharing, and team growth

Desirable

Experience working in early-stage, high-growth environments
Familiarity with MLOps pipelines and integrating ML models into data workflows
Passionate about problem-solving with a proactive approach to finding innovative solutions

What the job involves

We are seeking a Principal Data Engineer with deep expertise in Spark to lead the design and evolution of Wizards data infrastructure
This is a senior level hands on technical role, ideal for someone passionate about building scalable data systems, mentoring engineers and helping shape data strategy
As a thought leader on our data engineering team you will architect systems that support high performance batch and real time data processing, power advanced analytics and drive our AI team forward
Own the architecture and strategic direction of scalable, distributed data infrastructure across cloud platforms
Design and build a data compilation system to normalize, match, and merge products, reviews, and editorial data from thousands of data sources
Use the latest NLP, LLMs, and embedding models to generate the highest quality datasets with automated data auditing and reporting
Implement real time and batch data processing systems to power AI/ML use cases
Collaborate with engineering, AI and product teams to ensure data availability and reliability
Develop backend data solutions that support microservices architecture and a rapidly scaling product environment
Manage and extend integrations with third party e-commerce platforms to expand Wizard’s data ecosystem
Mentor and support data engineers, establishing best practices

Our take

Direct-to-customer marketing is invaluable for eCommerce brands trying to scale, helping to boost brand engagement and encourage repeat sales. However, providing personalized engagement on a large scale is almost impossible through traditional means, showing a demand for automated marketing solutions for large-scale customer interaction.

Wizard provides a conversational AI for eCommerce customer engagement capable of sending automated follow-up messages to customers after they have purchased an item. The tool is heavily focused on boosting product reorders through these follow-up texts, storing every customer's shipping address and payment details to facilitate sales with one-word answers from customers.

Whilst AI-driven chatbots are commonly used to answer simple questions on eCommerce websites, Wizard has taken this a step further by providing a simple way for businesses to receive new orders as a direct response to follow-up marketing texts. By allowing customers to bypass the web entirely for such reorders, the company claims it can boost conversion and repeat purchase rates, whilst simultaneously building brand engagement.

Steph

Company Specialist at Welcome to the Jungle

Company

Funding (1 round)

Oct 2021

$50m

SERIES A

Total funding: $50m

Company benefits

Equity
Remote work culture
Health, dental and vision insurance
Mental healthcare support and services
401(K) plan
16 weeks parental leave
12 paid holidays
Flexible PTO
Life and AD&D insurance

Company HQ

Hudson Square, New York, NY

Leadership

Melissa Bridgeford

(Co-Founder & CEO)

Experience as Director of Guggenheim Partners from 2009 to 2014. CEO and Founder of Stylust from 2017 to 2021.

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