Responsibilities

• Develop, maintain, and support data pipelines used by MarTech platforms and digital customer experiences.
• Work with customer, behavioral, transactional, campaign, and clickstream data across enterprise systems.
• Develop SQL transformations and datasets in Snowflake to support personalization, audience creation, campaign activation, and analysis.
• Use Python and SQL to automate data processing, validate integrations, troubleshoot issues, and perform data analysis.
• Develop and support integrations using APIs, event streams, and batch data processing.
• Build and maintain scheduled data workflows using technologies such as Apache Airflow.
• Work with Product, Marketing, Engineering, Analytics, and Data teams to understand data and integration requirements.
• Perform exploratory analysis of customer, clickstream, campaign, and transactional data to identify trends, data quality issues, and opportunities for improvement.
• Assist with data validation, monitoring, reconciliation, and troubleshooting across MarTech integrations.
• Support customer identity, segmentation, and personalization data flows.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, Statistics, or a related field, or equivalent practical experience.
• 1-3 years of experience in software development, data engineering, analytics engineering, data science, or a related technical role.
• Strong SQL fundamentals and experience working with relational or analytical datasets.
• Experience using Python for data processing, automation, analysis, or software development.
• Experience working with Snowflake or another cloud-based analytical data platform.
• Basic understanding of ETL/ELT concepts, data pipelines, and data transformation.
• Familiarity with REST APIs, JSON, and application integration concepts.
• Strong analytical and problem-solving skills.
• Ability to learn new technologies and work collaboratively with technical and business teams.

Preferred

• Familiarity with Apache Airflow or another workflow orchestration platform
• Exposure to dbt or similar data transformation frameworks
• Experience working with clickstream, web analytics, or event-based customer data
• Familiarity with Kafka or another event streaming technology
• Exposure to Google Cloud Platform or another public cloud environment
• Familiarity with Salesforce Marketing Cloud, Salesforce Personalization, customer data platforms, or other MarTech technologies
• Understanding of customer segmentation, personalization, experimentation, or campaign measurement
• Familiarity with Git and modern software development practices
• Experience using AI-assisted development tools or coding agents such as OpenAI Codex
• Interest in applying analytical or data science techniques to customer and marketing use cases

Benefits

• Medical, dental, vision, life, and disability insurance for the associate and eligible dependents
• Flexible Spending Account (FSA)
• Health Savings Account (HSA)
• 401(k) retirement savings program
• Mental health resources and Employee Assistance Program (EAP)
• Paid vacation time (accrued based on hours worked and tenure)
• Paid company holidays
• Employee discount across our family of brands
• Potential eligibility for annual merit-based compensation increases, where applicable
• Exact benefit terms, conditions, and eligibility requirements are governed by official plan documents and applicable law. The Company reserves the right to modify, amend, or terminate benefit plans and programs at any time.