Underline starts with our people.

At Underline, we've rapidly built a culture around ownership, trust, community, and innovation. Underline is dedicated to cultivating a growth environment where people feel valued, work with a purpose of mission, are personally rewarded, and are professionally challenged.

Are you ready to join this team and transform American communities?

Underline was founded in 2019 with a singular mission: to ensure the vibrancy of our nation through building intelligent community infrastructure in a socially equitable manner. We work with American communities to design, finance, and construct open access fiber-optic networks. These networks are critical to secure internet access that’s fast, affordable, and fair. As open access networks, this infrastructure is also the essential foundation for distributed healthcare services, new wireless solutions, and resilient infrastructure including modernized water systems and responsible energy creation. Our first two projects are in Colorado Springs and Fountain, Colorado.

We are looking for a full-time Senior Data & Analytics Engineer to join our data team and bring technical excellence, thought leadership, and problem solving to support Underline’s mission. You’ll work closely with our data science, business, and engineering teams to formulate data infrastructure strategy as well as lead its implementation. You’ll  be responsible for ingesting new data sources, creating data models, and otherwise building, maintaining, and optimizing the capabilities of our data processing systems and analytical pipelines.

If you’re excited about building new systems in a fast-paced environment and using your data chops to revolutionize our country’s infrastructure, we want you on our team! 

• You have an entrepreneurial spirit— you have no problem getting your hands dirty and have an intense ability to learn quickly and from others
• You are detail-oriented and able to juggle and execute on multiple tasks and projects in sometimes a nebulous and fluid work environment 
• You enjoy working as part of a collaborative team
• You have excellent verbal and written communication skills
• You are a true believer in the social, economic, and environmental benefits of bringing intelligent infrastructure to communities across the country

We’ll be up front— we’re at a stage where we need people who can wear multiple hats and hop in wherever needed.  Generally, the responsibilities for this role will be to:

• Lead the evolution of our data & analytics engineering architecture
• Create and maintain data pipelines, data models, and other data processes - we use Fivetran, Airflow, dbt core,  Redshift, and Metabase
• Assist the data science team in standardizing & scaling data pipelines and creating databases, and otherwise guide adoption of data engineering best practices
• Identify opportunities to prototype new data methods, tools, and approaches that create value and otherwise address company needs

• 3-5+ years experience in data engineering
• Proficiency in SQL and Python, particularly data-related Python packages
• Experience working with the modern data stack - ideally Fivetran, Airflow, dbt core, and Redshift, but experience with similar tools is sufficient
• Track record of owning data engineering projects end to end— from sourcing and transforming data through modeling and delivering data products in production 
• Familiarity with cloud platforms such as AWS
• Familiarity with Docker
• Experience developing applications for Linux
• Working knowledge of version control systems, preferably Git

• Experience at an early stage startup 
• Experience building data-intensive web applications
• Experience building machine learning workflows in production
• Experience w/ data operations & building data quality testing frameworks 
• Experience w/ Terraform