Analytics Data Engineer

Posted 7 Days Ago
New York City, NY, USA
Hybrid
140K-190K Annually
Senior level
Internet of Things • Mobile • Other • Software
We’re on a mission to revolutionize connectivity. We're building the next-generation connectivity platform.
The Role
Design, build, and maintain reliable data pipelines and canonical datasets using dbt, Dagster, and Redshift. Partner with stakeholders to translate business questions into data models, dashboards, and self-service tools. Build BI dashboards (Hex/Tableau), use AI tooling to accelerate work, and collaborate with analysts and data scientists to ensure high-quality analytics infrastructure.
Summary Generated by Built In

US Mobile is building the future of wireless communication. The goal: one unified network open to any person and any device, worldwide. Connection without walls.
We’re getting there by empowering customers. All three major networks on one phone and one plan, plus home internet from Starlink. No lock-in. No commitments. Custom fit plans at every price point. 24/7 customer support with real people, empowered to help. We get real-time feedback from Reddit, surveys, and customer support informing product roadmaps and everything we do. It’s working — Consumer Reports named us the top-rated mobile carrier two years in a row.*

And we’re building innovative systems that scale. A network agnostic tech stack. Agile, cross-functional teams built on trust and mutual respect. This work isn’t for everyone. If you work fast, flexibly, and collaboratively — without compromising standards — we want to hear from you.


We're looking for an Analytics Data Engineer to help build, scale, and maintain the data foundation that powers decision-making across the company. You'll work closely with stakeholders across product, analytics, engineering, and operations to understand business needs, design reliable data models, and deliver high-quality reporting and analytics infrastructure.

Responsibilities:

  • Partner with stakeholders to understand data needs and translate business questions into technical requirements for data models, pipelines, dashboards, and self-service tools.
  • Design, build, document, and maintain reliable data pipelines using dbt, Dagster, Redshift, and related tools.
  • Transform raw data into trusted, canonical datasets for reporting, analysis, experimentation, and decision-making.
  • Build high-performance dashboards and analytical tools in Hex, Tableau, or similar platforms.
  • Use AI tooling to accelerate pipeline development, SQL/dbt work, and documentation.
  • Partner with data scientists, analysts, and engineers to bridge business needs and data infrastructure.

Requirements:

  • 5+ years of experience in analytics engineering, data engineering, or business intelligence, ideally in a fast-paced, high-growth environment.
  • Strong SQL skills, including experience with large datasets, complex transformations, and performance optimization.
  • Hands-on experience designing and maintaining reliable data pipelines using modern tools such as dbt, Dagster, Redshift, or equivalent.
  • Proficiency in a scripting language; Python preferred.
  • Demonstrated use of AI in your day-to-day workflow — LLM-assisted coding or prompt-driven data exploration.
  • Experience building dashboards and analytical tools in Hex, Tableau, or comparable BI/reporting platforms.
  • Strong understanding of data modeling, metric design, and analytics engineering best practices.
  • Strong communication skills, with a bias toward clear documentation, reliable systems, and measurable business impact.

Benefits & Perks:

  • Health care coverage through Aetna (Medical, Dental, Vision)
  • Flexible paid time off 
  • Gym reimbursement (up to $100 a month)
  • Commuter reimbursement (MTA, Metro North, etc..)
  • Free cell phone servic
  • Your choice of equipment + Bose QC/Apple Airpod Pro headphones
  • 401k

Think you're a good fit? Apply to learn more!

Skills Required

  • 5+ years experience in analytics engineering, data engineering, or business intelligence
  • Strong SQL skills with experience handling large datasets, complex transformations, and performance optimization
  • Hands-on experience designing and maintaining data pipelines using dbt, Dagster, Redshift, or equivalent
  • Proficiency in a scripting language
  • Python (preferred)
  • Demonstrated use of AI/LLM tooling in day-to-day workflow (LLM-assisted coding or prompt-driven data exploration)
  • Experience building dashboards and analytical tools in Hex, Tableau, or comparable BI platforms
  • Strong understanding of data modeling, metric design, and analytics engineering best practices
  • Strong communication skills, clear documentation, and focus on measurable business impact
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The Company
HQ: New York, NY
131 Employees
Year Founded: 2014

What We Do

At US Mobile, we’re on a mission to revolutionize connectivity. We're building a next-generation connectivity platform to connect the next billion wireless devices onto nationwide 4G and 5G networks, including your phone, drone, car, watch, pet tracker, and everything in between. We’re accomplishing this by leveraging cutting-edge technology and forward-thinking UI design. Whether it’s with our free high-speed international roaming, customizable perks, AI-facilitated plan savings, customizable plans, or real-time dashboards, we’re building the industry’s most delightful user experience all backed by our excellent customer service. US Mobile’s 4G LTE network reaches more than 300 million Americans and includes international calling to over 200 countries and territories, but you will never hear from an operator at US Mobile. Our real, live Customer Support Representatives are available by phone or chat 24 hours a day, 7 days a week – to keep you connected, informed, and saving with US Mobile.

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