Senior Analytics Engineer

Key Skills

Apache Airflow, Business Intelligence, Data Modeling, Data Warehousing, ETL/ELT technologies, GoLang, Java Programming, Python Programming, Snowflake, SQL

Job Description

At Navan, “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going.

Navan is looking for a Senior Analytics Engineer to join our growing team. You will be working within our world-class data organization to help modernize and scale our data warehouse to power our data-driven organization and support our rapidly evolving and growing data needs. You will work within a modern data stack of Fivetran, Airflow, DBT, and Snowflake in order to build and maintain a first-class data warehouse. You are someone who can operate at a company that grows as fast as ours by being able to deal with multiple moving pieces while still holding up quality, long-term thinking, and delivering value to our customers.

What You'll Do:

• Working closely with the data engineering and BI teams, design and develop our data warehouse model to create rich, usable data stores
• Identify and implement tests and monitoring to ensure data quality and reliability
• Create the definitions and metrics for a “single source of truth” to fuel all company decision making
• Define best practices in data models and development. Coach our analysts and data scientists on how to be effective data modelers
• Continuously find ways to expose more value in our raw data and lower the amount of effort our end users spend on getting answers

What We're Looking For:

• 5+ years of work experience in data engineering/data warehousing
• 3+ years of experience building and maintaining high scale ELT
• Proficiency in dbt core is an absolute must!
• Experience working with Airflow
• Experience working with cloud data warehouses (Snowflake is a plus)
• Highly proficient in SQL
• Proficient with Python, Java, Go, or other OOP languages
• Demonstrated experience in data modeling (any methodology) and implementation
• Demonstrated experience working in/with BI teams to surface metrics

The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.

For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.

Pay Range

$138,750—$235,000 USD