Staff Software Engineer (Streaming Data)

Narvar is growing! We are hiring a Staff Data Engineer to build our fraud prevention products and improve all aspects of the Narvar platform. Data is at the core of our competitive advantage so the work you do has a large impact across the company, our business partners, and the lives of our end users.

Responsibilities:

• Design, develop, and maintain robust streaming data pipelines using technologies like Apache Beam, Dataflow, or similar frameworks.
• Architect, implement, and optimize APIs that serve data from large-scale databases such as Google Bigtable.
• Design and optimize table schemas in Bigtable, following best practices to ensure efficient data access and performance.
• Write efficient, maintainable, and scalable code in one of the following languages: Java, Golang, or Rust.
• Demonstrate strong ownership of work by driving projects from concept to production, ensuring high-quality deliverables.
• Troubleshoot and resolve data pipeline issues, ensuring high availability and reliability of data services.
• Stay updated with the latest industry trends and best practices in data engineering and DevOps.
• Collaborate with cross-functional teams to architect scalable data solutions that meet the needs of our rapidly evolving business.

Qualifications:

• 8+ years of relevant experience
• Proven experience working with streaming data pipelines, preferably using Apache Beam, Dataflow, or similar technologies.
• Extensive experience working with Kafka, Pub/Sub or similar technologies.
• Extensive experience with large-scale databases such as Google Bigtable/Cassandra, including building and optimizing APIs to serve data.
• Expertise in designing table schemas in Bigtable, following best practices for efficient data access and performance.
• Expertise in one of the following programming languages: Java, Golang, or Rust.
• Demonstrated experience in a zero-to-one startup environment, with the ability to thrive in a fast-paced, entrepreneurial setting.
• Strong ownership mindset with a proactive approach to problem-solving and a commitment to delivering high-quality results.
• Proficiency in writing SQL queries for analysis and debugging.
• Excellent communication and collaboration skills, with the ability to work effectively in a team-oriented environment.

Preferred Qualifications:

• Prior experience in working in the Fraud/Risk domain.
• Experience with cloud platforms such as Google Cloud Platform (GCP), AWS, or Azure.
• Familiarity with Devops fundamentals, containerization technologies such as Docker and Kubernetes.
• Understanding of data security and privacy best practices.

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. Post-purchase is a critical phase of the customer journey. That's why we created Narvar - a platform focused on driving customer loyalty through seamless post-purchase experiences that allow retailers to retain, engage, and delight customers. If you've ever bought something online, there's a good chance you've used our platform!

From the hottest new direct-to-consumer companies to retail’s most renowned brands, Narvar works with GameStop, Neiman Marcus, Sonos, Nike, and 1400+ other brands. With hubs in San Francisco, London, and Bangalore, we've served over 125 million consumers worldwide across 10+ billion interactions, 38 countries, and 55 languages.

Pioneering the post-purchase movement means navigating into the unknown. Our team thrives on this sense of adventure while nurturing a mindset of innovation. We're a home for big hearts and we leave our egos at the door. We work hard but we always make time to celebrate professional wins, baby showers, birthday parties, and everything in between.

We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-Remote

Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.