Role intent:
A hands-on individual contributor role focused on building and maintaining reliable data pipelines, curated datasets, and governed analytics-ready data products. This version intentionally removes senior-level expectations around owning architecture, setting standards, or leading platform strategy.
Position Summary:
The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning.
This role will work closely with data scientists, analysts, and business stakeholders to develop scalable data pipelines, support analytics initiatives, and ensure the availability of high-quality data across the organization.
The ideal candidate is a hands-on data engineering professional with strong technical skills, a passion for data quality, and experience developing data solutions in a modern cloud environment.
Key Responsibilities:
Data Engineering & Pipeline Development:
Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives
Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple sources
Support data integration efforts across customer, marketing, digital, and enterprise data domains
Implement data quality checks, validation processes, and monitoring solutions to ensure trusted data products
Troubleshoot and resolve data pipeline and data quality issues in production environments
Data Modeling & Analytics Enablement:
Build and maintain scalable data models that support analytics and reporting requirements
Develop curated datasets that enable consistent business metrics and KPI reporting
Collaborate with analysts and data scientists to support advanced analytics, audience development, customer insights, and performance measurement
Assist in implementing data structures that improve usability, consistency, and reusability across teams
Collaboration & Delivery:
Partner with business stakeholders to understand requirements and translate them into technical solutions
Work closely with cross-functional teams to deliver reliable and scalable data products
Participate in code reviews, testing, deployment activities, and continuous improvement initiatives
Contribute to documentation, knowledge sharing, and engineering best practices
Data Governance & Reliability:
Follow established standards for data governance, security, privacy, and compliance
Monitor pipeline performance and recommend opportunities for optimization
Support efforts to improve data quality, reliability, and operational efficiency
Maintain documentation for data pipelines, data models, and technical processes
Basic Qualifications:
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field
8 years of experience in data engineering
Strong SQL development skills
Experience developing and supporting ETL/ELT pipelines
Experience working with cloud-based data platforms and modern data architectures (e.g., Azure, Snowflake, BigQuery, AWS)
Proficiency in Python, Spark, or similar data processing technologies
Experience working with structured and semi-structured data
Understanding of data modeling concepts, including dimensional modeling and data warehousing principles
Strong analytical and problem-solving skills
Ability to collaborate effectively with both technical and business stakeholders
Preferred Qualifications:
Experience supporting marketing, customer, digital, or analytics use cases
Experience with orchestration and workflow automation tools
Familiarity with customer data platforms, customer analytics, or audience management solutions
Experience with machine learning data preparation and feature engineering
Understanding of data governance and data quality best practices
Role intent:
A hands-on individual contributor role focused on building and maintaining reliable data pipelines, curated datasets, and governed analytics-ready data products. This version intentionally removes senior-level expectations around owning architecture, setting standards, or leading platform strategy.
Position Summary:
The Customer Data Platform team is seeking a Data Engineer to help build and maintain trusted data products that power marketing performance, customer analytics, and advanced decisioning.
This role will work closely with data scientists, analysts, and business stakeholders to develop scalable data pipelines, support analytics initiatives, and ensure the availability of high-quality data across the organization.
The ideal candidate is a hands-on data engineering professional with strong technical skills, a passion for data quality, and experience developing data solutions in a modern cloud environment.
Key Responsibilities:
Data Engineering & Pipeline Development:
Design, build, and maintain secure, scalable data pipelines that support reporting, analytics, and machine learning initiatives
Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple sources
Support data integration efforts across customer, marketing, digital, and enterprise data domains
Implement data quality checks, validation processes, and monitoring solutions to ensure trusted data products
Troubleshoot and resolve data pipeline and data quality issues in production environments
Data Modeling & Analytics Enablement:
Build and maintain scalable data models that support analytics and reporting requirements
Develop curated datasets that enable consistent business metrics and KPI reporting
Collaborate with analysts and data scientists to support advanced analytics, audience development, customer insights, and performance measurement
Assist in implementing data structures that improve... For full info follow application link.
Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled.
