Data Engineer, Performance Marketing

About the Company

CJ (formerly Commission Junction) is the most trusted name in performance marketing, specializing in building partnerships between top brands and reputable publishers to drive revenue and business growth. Founded in Santa Barbara, California in 1998, CJ maintains one of the largest, most reliable partnership platforms with impeccable, personalized service. As part of Publicis Groupe, CJ leverages savvy data capabilities, cutting-edge tech, and strategic expertise to facilitate genuine connections, allowing brands to reach consumers wherever they are. The platform serves over 3,800 global brands across sectors like retail, travel, finance, technology, and home services.

Affiliate marketing connects brands with publishers—such as influencers or review sites—that influence, inform, or help shoppers find the best deals. CJ enables these connections, creating valuable resources for consumers.

About the Role

This is a hybrid role requiring 3 days a week in a CJ office location. You must be work authorized in the United States without the need for employer sponsorship.

We are seeking a Data Engineer to design, build, and maintain scalable data platforms, pipelines, and infrastructure that support analytics, AI/ML, reporting, operational systems, and enterprise data products across the organization. This role will work across cloud platforms, data ingestion frameworks, and modern lakehouse architectures to deliver reliable, secure, and governed data solutions that enable business, product, engineering, and data teams.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, SQL, and Spark-based technologies.
• Serve as an advocate for AI-native engineering workflows, demonstrating how tools such as Claude Code, Codex, GitHub Copilot, Databricks Genie, and related assistants can improve developer productivity, code quality, and operational efficiency.
• Build and support data ingestion frameworks leveraging APIs, SFTP, cloud storage, databases, and third-party integrations.
• Develop and maintain data products within a modern Data Lakehouse architecture, following Medallion (Raw, Bronze, Silver, Gold) design principles.
• Create and optimize data workflows, orchestration processes, and monitoring solutions to ensure pipeline reliability, performance, and scalability.
• Manage cloud-based data infrastructure and storage solutions across platforms such as Databricks, AWS, Snowflake, and Google Cloud.
• Build operational tooling and monitoring dashboards to track pipeline health, resource utilization, uptime, and system performance.
• Collaborate with Data Science, Analytics, Product, and Engineering teams to deliver trusted and scalable data assets.
• Maintain source control, CI/CD processes, repository standards, and deployment best practices across data platforms.

Requirements

• 3–5 years of experience in Data Engineering, Analytics Engineering, or related disciplines.
• Experience with cloud-based data platforms such as Databricks, AWS, Snowflake, or Google Cloud.
• Familiarity with integrating AI and automation tools (e.g., GitHub Copilot, Natural Language Query tools) to enable faster delivery and higher quality code.
• Strong proficiency in SQL and Python.
• Experience with Spark and distributed data processing (PySpark preferred).
• Strong experience with data pipelines (ETL/ELT, event-driven, or workflow-based systems).
• Understanding of Data Lake, Lakehouse, and Medallion architecture concepts.

Benefits

• Competitive salaries and 401K matching.
• Comprehensive medical, dental, and vision coverage.
• Flexible time off without accrual requirements.
• Generous number of paid holidays.
• Company-sponsored team-building events.
• Employee Referral Program.
• Annual recognition awards.
• Hybrid work arrangements for optimal work-life balance.
• Parental bonding leave.
• Backup care options for children and elders.
• Employee discount program.
• International SOS program for global support.
• Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment.

Pay

Compensation Range: USD $88,540.00 - USD $135,632.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position.