Navan is looking for a Data Engineer to join our growing team. Based out of HQ in Palo Alto, CA 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 AWS, Fivetran, Airflow, DBT, Snowflake, Atlan, and Monte Carlo 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 our data analyst, product, and engineering teams, you’ll design and develop our data warehouse models 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, data scientists, and data domain owners on how to be effective data modelers
- Continuously find ways to improve data self service as a product and lower the amount of effort our end users spend in getting answers
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What We're Looking For:
- 3+ years of work experience in data engineering/data warehousing/analytics engineering
- 2+ years of experience building and maintaining high-scale ELT with cloud data warehouses (Snowflake is a plus)
- Experience in dbt core and AWS is an absolute must!
- Expert in managing Airflow for data orchestration, and skilled in CI/CD for seamless development automation
- Proficient in SQL and Python
- Demonstrated experience in data modeling (any methodology) and implementation
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.