Senior Data Engineer - Remote

Overview

At MNTN, we put our people first, full stop. This allows our company culture to be defined by our team members and their shared values, like trust, ambition, quality, radical honesty, and compassionate leadership. It’s why we all really love working for the Hardest Working Software in Television™ (and also why we were named one of Ad Age’s Best Places To Work in 2024.)

We pride ourselves on bringing unrivaled performance and simplicity to Connected TV advertising. Our self-serve technology makes running TV ads as easy as search and social, helping brands drive measurable conversions, revenue, site visits, and more. It’s what led MNTN to being named one of Fast Company's Most Innovative Companies in 2023. You can learn more about us and everything we do by visiting https://mountain.com/.

We’re committed to innovation that empowers, not replaces. At MNTN, AI is a tool for growth, enhancing efficiency while keeping a people-first approach. Our goal is to streamline workflows and drive new solutions—without compromising the human element that makes our company great.

So if wanting to do more, own more, and make a bigger impact comes naturally to you, then you may be the person we're looking for to join us in our next stage of growth.

In Short

• Become the expert on the MNTN ad platform, and data infrastructure and processes that inform operations and engineering at MNTN
• Extract meaningful business insights from data using SQL and other tools
• Create and manage ETL/ELT workflows that transform our billions of raw data points daily into quickly accessible information across our databases and data warehouses
• Organize data and metrics for measurable and trackable confidence in building ad buying and data features and client performance to fulfill agreed-upon quality standards
• Organize visualizations, reporting, and alerting necessary to rapidly illustrate performance, data quality, trends and opportunities
• Investigate critical incidents and ensure that any issues reach resolution by the relevant parties

Requirements

• 5+ years of experience related to data engineering, analysis and modeling complex data
• Strong experience in SQL, data modeling, and manipulating and extracting large data sets.
• Hands-on experience working with data warehouse technologies. Familiarity with building data pipelines and architectures and designing ETL flows.
• Familiarity with data processing frameworks such as Spark
• Experience with programming languages such as Python or Java/Kotlin
• Familiarity with algorithms and systems concepts
• Familiarity with software processes and tools such as Git, CI/CD pipelines, Linux, and Airflow
• Experience with working in a cloud computing environment such as AWS, Azure, or GCP
• Written and verbal communication skills to convey complex technical topics to non-technical audiences across the organization

Benefits

• 100% remote within the US
• Flexible vacation policy
• Annual vacation allowance for travel related expenses
• Three-day weekend every month of the year
• Competitive compensation
• 100% healthcare coverage
• 401k plan
• Flexible Spending Account (FSA) for dependent, medical, and dental care
• Access to coaching, therapy, and professional development