Open Position:
Closed Position:
Data & Analytics Engineer

Join us as we help support the vitality and resilience of communities

This position closed on

General Info

Location:
Boston preferred, Remote (US)
Type:
Full Time
Experience:
Mid-level
Departments:
Capital Markets & Knowledge Science
Reports to:
Data Scientist

General Description

At Underline, we are driven by a singular mission: to ensure the vibrancy of our nation through building intelligent community infrastructure. We work with communities across the United States to design, finance, and construct open-access fiber-optic networks. We believe these networks are the essential foundation for ultra-fast access to information, a competitive market for content and services, job formation and reskilling for workers, distributed healthcare services, new wireless solutions, and resilient modern infrastructure including responsible energy creation.

We are looking for a full-time Data & Analytics Engineer to join our data science team and bring technical excellence, thought leadership, and problem solving to support Underline’s mission. You’ll work closely with our data, business, and engineering teams to architect our analytics infrastructure and build, maintain, and expand the capabilities of our data processes and pipelines. We’re looking for someone excited by the challenge of building out systems from scratch and capable of thriving in an ambiguous and changing environment. We have a suite of data science methods we’re continually expanding to quantitatively understand the communities we work in, our business and users, and the larger internet access landscape and marketplace  -  and we need your help to scale up our processes and infrastructure and thus the effectiveness and impact of our data practice.

About Us

  • We offer bold solutions to drive positive, sustainable change 
  • We approach our work with humility, integrity, and intellectual rigor
  • We are agile and relentless in pursuit of our mission 
  • We have a mentality of service: to our mission and to each other
  • We are dedicated to building and sustaining a culture of flourishing
  •  We optimize our efforts to create positive-sum for community and capital

Does this sound like you?

  • You are hungry, humble, and curious
  • You have excellent analytical, quantitative, and problem-solving skills
  • You are an intrinsic self-starter and enjoy taking on new challenges
  • You want to be part of the early stages of a company where everything you build matters
  • You want a highly collaborative environment comprised of diverse subject matter experts in broadband networking, data center infrastructure, software development, and design
  • You care about building critical intelligent infrastructure to increase community vitality and improve resilience

What you'd be doing:

  • Lead the design, implementation, and evolution of our data & analytics engineering architecture
  • Leverage tools such as Python, PostgreSQL, Airflow, dbt, and AWS to create and maintain data pipelines, data models, and other data processes
  • Expand and maintain our data lake and data warehouse to ingest & transform data from multiple sources, applying principles of master data management to maintain high degree of data quality and reliability 
  • Assist the data science team in standardizing & scaling data pipelines and creating databases 
  • Work with other teams to identify opportunities for new analytics workflows, data pipelines, and automated processes 
  • Make strategic recommendations about how to expand and improve our data & analytics infrastructure

Experience we require:

  • 3-5+ years of domain experience in data engineering and/or data analytics 
  • Advanced working SQL and Python knowledge, particularly data-related Python packages
  • Familiarity with data governance concepts such as master data management, data lineage, data quality, and data catalogs
  • Experience working with DAG-based data pipeline systems such as Airflow and dbt 
  • Familiarity with cloud platforms such as AWS 
  • Experience developing applications for Linux
  • Working knowledge of source control systems, preferably Git

Bonus points:

Hiring Manager

Data & Analytics Engineer
Will Glad
Data Scientist
Linkedin

Position Application