Sr. Staff Data Engineer

Narvar; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

An innovative company is seeking a highly skilled Sr. Staff Data Engineer to lead the design and implementation of data pipelines and systems. This role is pivotal in processing and analyzing vast datasets, directly impacting consumer experiences and business strategies. The successful candidate will collaborate with diverse teams to enhance data quality and governance, leveraging cutting-edge technologies. If you thrive in a dynamic environment and are passionate about data engineering, this opportunity offers you the chance to make a significant impact in a company dedicated to transforming post-purchase experiences for millions of consumers worldwide.

Benefits

Flexible work hours

Health insurance

Remote work options

Professional development opportunities

Diversity and inclusion initiatives

Qualifications

• 15-20+ years of relevant experience in data engineering.
• Hands-on experience with big data processing systems and frameworks.

Responsibilities

• Develop and implement data pipelines for large volumes of data.
• Collaborate with teams to integrate data into business processes.

Skills

Java

Golang

Scala

Python

SQL

Data Processing

Data Governance

Data Quality Improvement

Cloud Technologies

Big Data Frameworks

Education

Bachelor's degree in Computer Science

Engineering or related field

Tools

Spark

Airflow

Google Pubsub

Pulsar

BigQuery

DBT

Hadoop

Apache Beam

Flink

Job description

Narvar is growing! We are looking for a highly skilled and experienced Sr. Staff Data Engineer to join our Data Engineering team. In this role, you will lead, design, and build data pipelines and systems that can efficiently store, process, and analyze large and complex datasets.

Data products are at the heart of Narvar’s core business strategy and competitive advantage. The work you’ll do will impact Narvar’s entire business, our partners, and the lives of millions of consumers globally!

Narvar handles transactional data for more than 1500+ 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.

Day-to-day

1. Develop and implement data pipelines and systems that can handle large volumes of data.
2. Process TBs of data, delivering actionable insights and intelligence using technologies such as Spark, Airflow, Google Pubsub, Pulsar, BigQuery, DBT.
3. Collaborate with data scientists and other teams to integrate data into business processes and decision-making.
4. Maintain and optimize existing data systems for cost efficiency, ease of access, and data governance.
5. Improve data quality by building tooling, testing, and observability pipelines.
6. Stay up to date with the latest advances in data engineering and implement new technologies as needed.

What we're looking for

• Bachelor's degree in Computer Science, Engineering, or related field.
• 15-20+ years of relevant experience.
• Proficiency with Java, Golang, Scala, or Python.
• Flexibility to learn new languages and technologies.
• Strong knowledge of computer science fundamentals and data structures.
• Expertise in SQL.
• Hands-on experience building big data processing systems.
• Experience with Cloud technology stacks (e.g., GCP or AWS) and their product offerings.
• Experience with large-scale data processing frameworks like Spark, Hadoop, Apache Beam, or Flink.
• Experience with data warehousing architecture, data lakes, and data modeling.
• Experience with Data Ops and data reliability.
• Experience with error handling, data validation, dbt models.
• Previous startup experience is strongly preferred.

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 bought something online, you've likely used our platform!

We work with brands like GameStop, Neiman Marcus, Sonos, Nike, and over 1500 others. 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.

Leading the post-purchase movement involves exploring the unknown. Our team thrives on innovation, collaboration, and a sense of adventure. We value big hearts, humility, and celebrate our wins and personal milestones together.

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

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