Software Engineer II- Analytics

Bloomreach is solving one of the digital world’s most fundamental problems: helping businesses leverage data to drive personalized and optimized customer experiences. We are seeking a Software Engineer II to join our Analytics Team, which focuses on building scalable data infrastructure, developing analytics frameworks, and delivering actionable insights that enhance search, recommendations, and personalization.

This role offers an exciting opportunity to contribute to the core analytics capabilities of our platform, applying your expertise to enhance personalization functionalities and redefine the digital shopping experience.

What You'll Do:

• Design, build, and optimize scalable data processing pipelines to support real-time and batch analytics use cases.
• Develop and maintain high-performance data infrastructure, ensuring reliability, accuracy, and efficiency in data workflows.
• Collaborate with Product, Data Science, and Engineering teams to understand requirements and implement data-driven solutions that enhance personalization and recommendations.
• Contribute to the design and implementation of analytics frameworks for measuring and improving search, recommendations, and customer engagement.
• Work on integrating machine learning models into real-time production systems, collaborating closely with Data Science teams.
• Ensure best practices in data engineering, monitoring, and governance to drive high-quality analytics and insights.
• Participate in lean and agile development processes, contributing to the full software lifecycle from design to deployment and maintenance.
• Provide technical guidance to junior engineers and contribute to architectural decisions that shape the future of analytics at Bloomreach.

What You'll Need:

• 3-5 years of hands-on experience in software engineering, working with data-intensive applications, analytics platforms, or personalization systems.
• Strong expertise in Java, Python, Golang or another object-oriented language, with a deep understanding of software architecture and distributed systems.
• Experience with big data technologies such as Hadoop, Spark, Kafka, and data lakes for large-scale processing.
• Proven experience designing, implementing, and maintaining scalable and reliable data pipelines in cloud environments (AWS, GCP, or Azure).
• Solid understanding of data structures, algorithms, and system design for building high-performance, highly available systems.
• Familiarity with machine learning concepts, feature engineering, and model serving frameworks is a plus.
• Experience working with analytics frameworks, data visualization, and business intelligence tools like Databricks, Snowflake, and Tableau is a plus.
• Ability to thrive in a fast-paced, growth-focused environment, with strong problem-solving and collaboration skills.

Your Success Story will be:

What does success look like in 30 days?

• General company-related onboarding
• A buddy is assigned to you
• Onboarding into the team, which involves 2-3 weeks of training related to systems/technologies that the team works on

What does success look like in 60 days?

• Learning the technologies that are used in the system (if the person is already not aware)
• Playing around with the system
• Start working on small tasks/bugs (with guidance from your buddy)

What does success look like in 90 days?

• Continue to work on small tasks/bugs with less guidance from your buddy