Senior Data Engineer

Posted on 10/24/2023

INACTIVE

201-500 employees

Comprehensive business travel and expense management platform

Company Overview

TripActions, known as Navan, streamlines the business travel experience with its all-in-one solution, eliminating the need for manual expense tracking and lengthy flight changes. The platform's user-friendly interface allows employees to easily manage business-related costs, while providing companies with real-time insight into their spending. This combination of convenience for employees and financial transparency for companies sets TripActions apart in the competitive landscape of corporate travel management.

B2B

Company Stage

N/A

Total Funding

$1.7B

Founded

2015

Headquarters

Palo Alto, California

Growth & Insights

Headcount

6 month growth

↓ -23%

1 year growth

↓ -83%

2 year growth

↓ -70%

Locations

Palo Alto, CA, USA • San Francisco, CA, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

AWS

Data Analysis

Data Science

Jenkins

Git

Airflow

Snowflake

SQL

Python

CategoriesNew

Data & Analytics

Requirements

5+ years of experience as a data engineer
Experience building and maintaining ELT/ETL from scratch
Fully immersed expertise in Python, SQL, and modern tools such as dbt and Airflow
Demonstrated experience in data modeling (any methodology) and implementation

Responsibilities

Work closely with the Analytics Engineering, Business Intelligence, and Data Science teams to support our modern data stack infrastructure (Fivetran, dbt, Snowflake, Thoughtspot, Airflow, AWS, Atlan). Understand the pain points and create solutions that are built to last
Evaluate, optimize, and implement standard practices for data ingestion, ETL and data engineering processes, and data quality frameworks
Collaborate with engineering and SRE teams to ensure reliable and scalable data storage, processing, and monitoring solutions that follow Navan standards
Get hands-on with our data. You'll gain expert-level knowledge of our data models, ensuring data quality and integrity
Document technical specifications, data flows, and system configurations, and contribute to our existing runbooks

Desired Qualifications

Experience working with cloud data warehouses (Snowflake is a plus)
Experience with Github, Jenkins is a plus

Sr. Data Engineer

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. Based 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 to support our modern data stack of Fivetran, dbt, Airflow, and Snowflake. 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:

Work closely with the Analytics Engineering, Business Intelligence, and Data Science teams to support our modern data stack infrastructure (Fivetran, dbt, Snowflake, Thoughtspot, Airflow, AWS, Atlan). Understand the pain points and create solutions that are built to last.
Evaluate, optimize, and implement standard practices for data ingestion, ETL and data engineering processes, and data quality frameworks.
Collaborate with engineering and SRE teams to ensure reliable and scalable data storage, processing, and monitoring solutions that follow Navan standards.
Get hands-on with our data. You’ll gain expert-level knowledge of our data models, ensuring data quality and integrity.
Document technical specifications, data flows, and system configurations, and contribute to our existing runbooks.

What We’re Looking For:

5+ years of experience as a data engineer
Experience building and maintaining ELT/ETL from scratch.
Fully immersed expertise in Python, SQL, and modern tools such as dbt and Airflow.
Experience working with cloud data warehouses (Snowflake is a plus)
Experience with Github, Jenkins is a plus
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