FreshRemote.Work

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
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—$259,000 USD Apply

Job Profile

Regions

North America

Countries

United States

Tasks
  • Define best practices in data models
  • Design and develop data warehouse models
  • Implement tests and monitoring for data quality
Skills

Airflow Atlan AWS Data Modeling Dbt Fivetran Monte Carlo Python Snowflake SQL

Experience

4 years

Timezones

America/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