US Mobile

Analytics Data Engineer

US Mobile$140K — $190K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience in analytics engineering, data engineering, or business intelligence in a high-growth environment.
  • Strong SQL skills with large datasets and performance optimization.
  • Experience designing and maintaining data pipelines using dbt, Dagster, Redshift, or equivalent tools.
  • Proficiency in Python or similar scripting language.
  • Experience leveraging AI tools for coding and data exploration.
  • Familiarity with building dashboards in Hex, Tableau, or other BI platforms.
  • Deep understanding of data modeling and analytics engineering best practices.

Responsibilities

  • Partner with stakeholders to translate business needs into data requirements.
  • Design and maintain reliable data pipelines using modern tools.
  • Transform raw data into trusted datasets for analysis and decision-making.
  • Build high-performance dashboards and analytical tools.
  • Utilize AI to enhance pipeline development and documentation.
  • Collaborate with data scientists and analysts to bridge business needs and technical solutions.

Benefits

  • 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 service
  • Choice of equipment and high-quality headphones
  • 401k plan
Full Job Description
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


$140,000 - $190,000 a year

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

About US Mobile

US Mobile is a telecommunications company that provides wireless services to customers in the United States. The company offers a range of plans, including unlimited talk and text, as well as data plans that can be customized to meet the needs of individual customers. US Mobile was founded in 2014 and is headquartered in New York City.
Learn more about US Mobile
Size
100 employees
Industry
Net Income
-$50,000
Founded
2014
5 Year Trend
+60%
Revenue
$1 million

Similar Jobs

More Jobs at US Mobile

More Information Technology Jobs

Find similar Analytics Data Engineer jobs: