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Data Engineer

$88.54k - $135.63k

CJ Corporation

Welcome to Our World We’ve been leading the charge in the affiliate industry from day one - establishing performance marketing and paving the way for future innovations. We're known for maintaining one of the largest, most reliable partnership platforms with impeccable, personalized service. Company Description Welcome to Our World We’ve been leading the charge in the affiliate industry from day one - establishing performance marketing and paving the way for future innovations. We're known for maintaining one of the largest, most reliable partnership platforms with impeccable, personalized service. Founded in Santa Barbara, California in 1998, CJ (formerly Commission Junction) stands as the most trusted name in performance marketing. We specialize in building partnerships between top brands and reputable publishers to drive revenue and business growth. CJ’s industry-leading solutions make us the platform of choice for over 3,800 global brands across sectors like retail, travel, finance, technology, and home services. As part of Publicis Groupe, our savvy data capabilities, cutting-edge tech, and strategic expertise facilitate genuine connections, allowing brands to reach consumers wherever they are. A Quick Peek at Affiliate Marketing Think back to your last online purchase. Did an influencer tip you off about a great product and offer a discount? Or perhaps you relied on a trusted review site to make your decision? Whatever path you took, affiliate publishers likely played a role by influencing, informing, or helping you find the best deal. CJ connects brands with these publishers, creating valuable resources for shoppers like you. Overview You must be work authorized in the United States without the need for employer sponsorship. This is a hybrid role requiring 3 days a week in a CJ office location ( 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 What you will be doing: 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. Qualifications What we look for: 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 you to move faster and deliver 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. Additional Information This is a hybrid role requiring 3 days a week in office. CJ is the leader in Performance Marketing. We take pride in our innovative technology, comprehensive data solutions and our people. We equip our teams with advanced tools, training and career development opportunities all to provide modern solutions, strategies and support to deliver high quality results for our clients. We work in an enthusiastic, collaborative team setting that values outstanding performance. We're a community of creative and passionate problem solvers who go the distance to tackle the tough questions, think creatively, and drive resourceful growth, for our clients—and ourselves. We foster and embody an inclusive and collaborative culture where diverse perspectives are sought, relationships are valued, and people feel accepted with a sense of belonging in expressing themselves authentically. We pride ourselves in having a workplace environment that values both work and play. Why Our Workplace Stands Out Apart from offering competitive salaries, 401K matching, wellness programs, and comprehensive medical, dental, and vision coverage, we provide: Flexible time off without the hassle of accrual A generous number of paid holidays Company-sponsored team-building events An Employee Referral Program Annual recognition awards Hybrid work arrangements for optimal work-life balance Parental bonding leave Backup care options for children and elders An employee discount program International SOS program for global support Business Resource Groups, where employees connect over shared interests to cultivate an engaging, inclusive environment ...and those are just a few of our great perks! Come join us and see what makes our company a great place to work. All your information will be kept confidential according to EEO guidelines. 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, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 9/27/2026. #J-18808-Ljbffr

Vacancy posted 1 day ago
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