Senior Data Engineer - Customer Data Platform

We are Rokt, a hyper-growth ecommerce leader. We enable companies to unlock value by making each transaction relevant at the moment that matters most, when customers are buying. Together, Rokt's AI-based relevance Platform and scaled ecommerce network powers billions of transactions. In December 2022, Rokt’s valuation increased to $2.4 billion USD, allowing us to expand rapidly across 15 countries. 

The Rokt engineering team builds best-in-class ecommerce technology that provides personalized and relevant experiences for customers globally and empowers marketers with sophisticated, AI-driven tooling to better understand consumers. Our bespoke platform handles millions of transactions per day and considers billions of data points which give engineers the opportunity to build technology at scale, collaborate across teams and gain exposure to a wide range of technology.

At Rokt, we practice transparency in career paths and compensation. 

At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Data Engineer

Compensation: $235,000- $300,000 salary employee equity plan grant & world class benefits.

We're looking for an experienced Data Engineer to join our fast-growing Engineering team, focusing on our Customer Data Platform. You'll tackle complex challenges to enhance customer relevance by deeply understanding their needs. Collaborating with product managers, designers, and engineers, you'll help scale our product and deliver significant value. We need a creative problem-solver with strong market insight, a passion for data analysis, and a track record of delivering impactful products. 

About the role: 

• Develop and maintain scalable data pipelines and systems.
• Implement real-time data processing solutions using Spark and Kafka.
• Optimize and manage AWS infrastructure for data engineering tasks.
• Collaborate with cross-functional teams to integrate data solutions.
• Ensure data quality, integrity, and security across all platforms.

About you:

• 7+ years of experience in Data Engineering / Software Engineering
• Proficiency in Spark and Kafka.
• Extensive experience with AWS services.
• Strong knowledge of Java/Scala and streaming systems.
• Ability to work with large datasets and complex data architectures.
• Detail-oriented and proactive in identifying and solving problems.
• Collaborative team player with strong communication skills.