Customer Data Engineer 20 days ago

About Us

Simon AI was founded in 2015 by a team of successful serial entrepreneurs.

We are an enterprise customer data platform that empowers marketers to create personalized data-driven experiences for the customers. We’re scrappy problem solvers who believe in tackling big challenges with disruptive thinking and giving our customers the support they need to deliver great next-generation experiences at scale. Simon AI is a data-first customer experience orchestration platform, designed to disrupt the marketing technology and marketing cloud category.

Simon’s platform empowers businesses to use enterprise-scale data and machine learning to power customer communications across every channel. Our unique approach allows brands to develop one-to-one relationships with their customers without building a bespoke in-house data infrastructure. At Simon, we firmly believe that business success starts and ends with people.

We all do our best work when we are surrounded by other friendly top performers who want to succeed together. This attitude is core to our values. When you trust your team, invest in their development, and give them ownership, great things happen.

The Role

As a Customer Data Engineer for Simon AI, you will work closely with our client-facing teams to design, build, and deploy solutions using Simon’s platform, owning technical delivery from initial prototyping through production. This is a hands-on, engineering role focused on building real systems in live customer environments.

You will partner closely with internal teams to solve complex data and marketing problems, personally writing and shipping the code that drives customer outcomes. You’ll operate at the intersection of engineering, product, and go-to-market, helping customers realize value quickly while surfacing patterns that inform how our product evolves. What

You’ll Do Hands-On Engineering & Execution

• Write and ship production-grade SQL and/or code to model data, power campaigns, and solve real customer use cases
• Rapidly prototype and deploy solutions in live customer environments, often working directly within their data warehouse
• Build and deploy data and AI-driven solutions (including LLM-based workflows where appropriate) to address real-world problems
• Troubleshoot and resolve issues across data pipelines, integrations, and performance in production environments
• Pre-Sales & Technical Discovery Lead technical discovery and due diligence with prospective customers, evaluating data architecture, feasibility, and fit
• Support technical discovery and proof-of-concept work, and remain engaged through production deployment.
• Product Feedback & Influence Work cross-functionally with Engineering, Product, and GTM teams to translate customer needs into shipped product improvements
• Balance speed of customer delivery with long-term product scalability, identifying when to build custom solutions vs. drive reusable product improvements.
• Scaling & Internal Leverage Help define, standardize, and scale best practices for how Simon delivers and operationalizes customer solutions
• Identify opportunities to turn bespoke solutions into reusable patterns, frameworks, or product capabilities

What Success Looks Like

• Customers successfully deploy and adopt solutions in production
• Time-to-value for new customers is reduced
• Solutions transition from custom into reusable product patterns where appropriate

Qualifications

• 3–5 years of experience in data engineering or related fields, with demonstrated ownership of complex projects
• Strong SQL skills
• Extensive Snowflake experience
• Experience working with modern data warehouses (BigQuery, Redshift, etc.); Experience with Python or similar programming language required
• Experience working with real-world data systems, data modeling, transformation, debugging, and performance optimization
• Strong product intuition and ability to translate customer needs into technical requirements and product feedback
• High ownership mindset with a bias toward action and shipping
• Curiosity and willingness to deeply understand customer problems and data ecosystems
• Experience in MarTech or customer data platforms is a plus, but not required

Monetate Perks

• Customized training and development plans to help you achieve your career goals
• Opportunity for impact, career growth, and intellectual stimulation
• Passionate, high-achieving teammates excited to help you succeed and learn
• Healthcare stipend provided
• Internet/electricity stipend provided
• A company laptop will be provided (employees are eligible to keep the device after 36 months of continuous employment and being in good standing)

Engagement Terms

This role has no direct reports. The contractor will have autonomy to determine the methods, processes, and schedule for completing deliverables, subject to agreed-upon project milestones and deadlines.

Compensation

Compensation will be based on a fixed fee for services rendered, as outlined in the service agreement. The contractor is responsible for managing their own taxes, insurance, and compliance with local regulations.

Why Monetate?

Opportunity to work with a global leader in personalization, collaborating with innovative professionals. Access to customized training resources to enhance your expertise in customer success, personalization and experimentation. Opportunity to contribute to meaningful digital experiences for global brands.

For more information about Monetate, visit www.monetate.com. Monetate, Inc. is an equal opportunity company. We prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Join us to create meaningful digital experiences and drive lasting customer success!