Staff Software Engineer, Narvar
Streaming Data
Post-purchase software for online retail
Open for applications
Post-purchase software for online retail
201-500 employees
Open for applications
201-500 employees
Company mission
To help retailers treat customers the way they’ve always wanted to—but didn’t know how.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
- 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
Our take
The process that retailers go through to deliver products to customers is becoming increasingly complicated due to convoluted shipping networks and a global customer base. This means customer experience suffers as retailers must offer an overwhelming range of delivery options. Narvar aims to improve this situation with an integrated delivery and returns platform for retailers, providing analytics on client data to the retailer and optimises shipping channels for customers.
Narvar is a market leader in this sector, active in almost every country and territory worldwide and having made more than 2 billion shipments since its founding in 2012. Its post-purchase customer experience platform is used by over 1200 companies including household name retailers such as Sephora, GAP and Levis, among many others.
Narvar has secured many strategic partnerships such as linking up with Rise.ai, a leading gift card and store credit platform. This allows stores to simplify returns by enabling merchants to issue Rise's store credit as part of the returns process. While Narvar is currently focused on retailers providing shipping solutions for their customers, the company plans to expand to offer a B2B product in the near future.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Aug 2018
$30m
SERIES C
Jun 2016
$22m
SERIES B
Total funding: $64m
Company benefits
- Mentorship programme
- Parental leave
- Flexible time off
- Work from home opportunities
- Health insurance
Company values
- Be humble - We’re good listeners and pragmatic problem solvers. We show more than we tell. We’re humble but make no mistake: we live our purpose serving everyday needs and delivering work that has a giant impact
- Embrace ambiguity - We’re not afraid to navigate into the unknown. We thrive on learning through pure discovery. We are quick to start and quick to adapt; we get things done. We make decisions without knowing all the answers.
- Do great things together - We’re all in this together. We teach and learn from each other, we share our point of view. We take ownership and recognize successes, while building authentic camaraderie. We are citizens of the company
- Take smart leaps - We nurture a mindset of innovation. We learn from failure, and boldly move with intention. We take time to reflect on our work, to understand the big picture, and to use that understanding to guide our vision for the future.
Company HQ
Downtown, San Mateo, CA
Articles
Leadership
Amit Sharma
(CEO)Amit is a hands-on executive with expertise in multi-channel retail and supply chain operations. They have over 18 years of industry experience and their thought leadership in shipping and delivery is still reverberating through the halls of Apple and Walmar.
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