Match score not available

Senior Data Engineer

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

United States

Offer summary

Qualifications:

8+ years in data engineering, Strong SQL and data modeling skills, Experience with AWS, Azure, GCP.

Key responsabilities:

Build platform to manage business metrics
Create ETL workflows for data transformation
Investigate and resolve critical incidents

MNTN Marketing & Advertising SME https://mountain.com/

201 - 500 Employees

See more MNTN offers

Job description

At MNTN, we’ve built a culture based on quality, trust, ambition, and accountability – but most importantly, we really 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. Our startup spirit powers our growth mindset and supports our teammates as they build the future of ConnectedTV. We’re looking for people who naturally want to do more, own more, and make an impact in their careers – and we’re seeking someone to be part of our next stage of growth.

As a Senior Data Engineer on the Data team, 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 platforms, UI, data infrastructure, and data processes
Extract meaningful business metrics from raw 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 reporting and client performance to fulfill agreed-upon quality standards
Investigate critical incidents and otherwise ensure that any issues reach resolution by the relevant parties

You have:

8+ 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.
Experience with programming languages such as Python, Java, or shell scripting. Familiarity with algorithms.
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

MNTN perks:

Work from home anywhere in the U.S.
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

About MNTN:

Our recruiters will always reach out using an email address ending with @mountain.com. If you’re contacted by someone without that address and they mention a Reference Code (which we never use), then that ain’t us folks. Tell those trolls to take a hike–you’re waiting to climb a MNTN.

MNTN provides advertising software for brands to reach their audience across Connected TV, web, and mobile. MNTN Performance TV has redefined what it means to advertise on television, transforming Connected TV into a direct-response, performance marketing channel. Our web retargeting has been leveraged by thousands of top brands for over a decade, driving billions of dollars in revenue.

Our solutions give advertisers total transparency and complete control over their campaigns – all with the fastest go-live in the industry. As a result, thousands of top brands have partnered with MNTN, including Petsmart, Build with Ferguson Master, Simplisafe, Yieldstreet and National University.

#Li-Remote