Narvar is Growing! We are looking for Software Engineers to join our Data Engineering team. In these roles, you will take the lead in building scalable data & ML products and their operational excellence. Data products are at the heart of Narvar’s core business strategy and competitive advantage. The work you’ll do will impact Narvar’s whole business, our partners, and the lives of millions of consumers globally!

Narvar handles transactional data for more than 1200+ leading brands and retailers worldwide using our shipment tracking, returns, customer care, bidirectional multi-channel communication, and analytics products to transform their customers' post-purchase experiences. 

NOTE: We are currently hiring for multiple openings that span across numerous teams and at varying levels. With your application, you will be considered across the spectrum of our openings where we’ll look to engage and understand your interests, qualifications, and expectations to align best with our current opportunities. We look forward to engaging you in our process! 

We are a remote/distributed company and you would be working 100% remotely.

Day-to-day

• Build and own mission-critical data pipelines and data lakes that are the ‘source of truth’ for Narvar’s business and consumer data
• Process TBs of data delivering actionable insights and intelligence using technologies such as Spark, Airflow, Kubernetes, Google Pubsub, Pulsar, BigQuery, BigTable. 
• Support research and development, experimentation, solving problems from statistical test automation to building real-time ML pipelines
• Optimize data models for costs, ease of access, and data governance
• Improve data quality by building any tooling, testing, and observability needed to support top-notch quality
• Improve the operational efficiency and reliability of our data infrastructure, ensuring 99.9% reliable data delivery
• Contribute to shared Data Engineering tooling & standards to improve engineering productivity across the company

What we’re looking for

• Bachelors in Computer Science, Engineering or similar
• Proficiency with Java, Scala, or Python
• Hands-on experience building distributed systems
• Hands-on experience building big data processing systems
• Experience with Cloud technology stacks (e.g., GCP or AWS and their product offerings)
• You have dealt with large amounts of data in production and have built distributed data processing using frameworks like Spark, Hadoop, Apache Beam, or Flink
• Experience with large-scale data warehousing architecture, data lakes, and data modeling
• You believe in the DevOps culture and that its an integral part of our responsibilities
• Expert SQL skills and sound consumer-scale data architecture judgment
• Experience with error handling and data validation
• Experience with Data Ops and data reliability
• Previous startup experience strongly preferred

Why Narvar?

We're on a mission to simplify the everyday lives of consumers. We believe post-purchase is a critical phase of the customer journey and 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 Patagonia, GameStop, Neiman Marcus, Sonos, Nike and 1200+ other brands. Through the pandemic we have pivoted and embraced a fully remote workforce where together we've served over 500 million consumers worldwide, processing 8+ billion orders last year alone over 40+ countries and across 50+ 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 our wins. We’ve been recognized by Fast Company numerous times as one of the most innovative companies in the world – for social good to logistics optimization. You can feel good knowing you’re working towards changing the world! Join us on our mission.

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.

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