Senior Data & Analytics Engineer

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!

Does this sound like you?

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

What you'd be doing:

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

Experience we require:

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

Bonus points:

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

Salary Range: $130-170k

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