Near is seeking a Data Engineer to join our team. In this role, you will have the opportunity to work on a huge scale of data, a cutting-edge tech stack, and leverage your skills and toolset to help us build a high-value and scalable product. You will be responsible for developing techniques to enhance data. You will also work with our data scientists, data analysts and product stakeholders to implement processes and infrastructure in order to support our data driven reports and analytics. These systems process billions of location data points per day.

You will be part of one of the fastest growing Enterprise SaaS companies – a great opportunity for people who can work independently and are self-driven.

A Day in the Life:

● Design, build and maintain the data pipeline for ingress and egress of location-based data

● Build and optimize the data warehouse to allow for report generation and analytics

● Assemble large, complex data sets that meet business requirements

What you bring to the role:

● Moderate experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

● Moderate knowledge of AWS cloud services: EC2, EMR, RDS, Redshift, S3, Athena

● Experience with object-oriented/object function scripting languages (Python)

● Experience with Airflow or other orchestration tool

● Experience with Docker

● Experience with big data technologies: Spark, Hive, Mad/Reduce, Hadoop

● Experience with UNIX/Linux including basic commands and shell scripting

● Experience breaking down complex problems into manageable steps to solve

● Must be a team player with strong attention to detail, and also able to work independently

● Proven track record at delivering timely and accurate information in a fast-paced environment

● Ability to build rapport with product, project, and QA teams

● Excellent critical thinking, problem solving, and mathematical skills, and sound judgment

● Experience building and optimizing AWS data pipelines, architectures and data sets

● Familiarity with mobile location data intelligence infrastructure and industry

● GIS background is nice to have

● Able to work independently

Compensation:

• $160,000 - 175,000 base salary + bonus + RSUs
• Comprehensive benefits package