Description:

At MNTN, we have built a culture based on quality, trust, ambition, and accountability, and we enjoy working here.
We pride ourselves on our self-service platform and are constantly seeking to improve the user experience for our customers and scale for efficiency.
As a Data Engineer, you will help build the platform to generate, track, manage, and triage key business and client success metrics.
The goal is to have rapid insights across all available information to mitigate issues and identify opportunities for a smooth marketing experience.
You will become the expert on the MNTN Data Pipelines, Infrastructure, and Processes.
You will work cross-functionally across the organization.
You will design architecture with observability to maintain high-quality data pipelines.
You will create and manage ETL/ELT workflows that transform billions of raw data points daily into quickly accessible information across our databases and data warehouses.
You will organize data and metrics for measurable and trackable confidence in building ad buying and ML features and client performance to fulfill agreed-upon quality standards.
You will organize visualizations, reporting, and alerting necessary to rapidly illustrate performance, data quality, trends, and opportunities.
You will investigate critical incidents and ensure that any issues reach resolution by the relevant parties.

Requirements:

You must have 5+ years of experience related to data engineering, analysis, and modeling complex data.
You should have experience with distributed processing engines for big data such as Spark.
You need strong experience with programming languages such as Python and familiarity with algorithms.
You must have strong experience in SQL, data modeling, and manipulating and extracting large data sets.
You should have hands-on experience working with data warehouse technologies and familiarity with building data pipelines and architectures and designing ETL flows.
You need familiarity with software processes and tools such as Git, CI/CD pipelines, Linux, and Airflow.
You should have experience working in a cloud computing environment such as AWS, Azure, or GCP.
You must possess written and verbal communication skills to convey complex technical topics to non-technical audiences across the organization.

You can work from home anywhere in the U.S.
There is an open-ended vacation policy with an annual vacation allowance.
You will enjoy a three-day weekend every month of the year.
Competitive compensation is offered.
You will receive 100% healthcare coverage.
A 401k plan is available.
There is a Flexible Spending Account (FSA) for dependent, medical, and dental care.
You will have access to coaching, therapy, and professional development.