Sr. Analytics Engineer
Remote (USA)
Navan is looking for a Sr. Analytics Engineer to join our growing team. Based remotely or in one of our many offices located in the USA, 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 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:
- 4+ years of work experience in data engineering/data warehousing/analytics engineering
- 2+ years of experience building and maintaining high-scale ELT
- Experience in dbt core is an absolute must!
- Familiarity with Airflow or similar orchestration tools
- Experience working with cloud data warehouses (Snowflake is a plus)
- Proficient in SQL and Python
- Demonstrated experience in data modeling (any methodology) and implementation
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—$259,000 USD Apply
Job Profile
- Define best practices in data models
- Design and develop data warehouse models
- Implement tests and monitoring for data quality
Airflow Atlan AWS Data Modeling Dbt Fivetran Monte Carlo Python Snowflake SQL
Experience4 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9