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Data Engineer - Remote

Posted Yesterday
Software Development
Full Time
CO, USA

Overview

ForceMetrics is on a mission to transform data for social change, helping public safety and government agencies utilize data to benefit individuals.

In Short

  • Join a mission-driven team as a Data Engineer.
  • Design, build, and scale a powerful data platform.
  • Build and maintain robust data pipelines.
  • Support complex analytics and data-driven decisions.
  • Shape data engineering best practices.
  • Influence critical technical decisions.
  • Create key areas of ownership.
  • Work in a fast-paced, collaborative environment.
  • Contribute to a growing team with a bold mission.
  • Must be a U.S. Citizen and live in the U.S.

Requirements

  • U.S. Citizenship required.
  • Ability to pass an FBI background check.
  • Willingness to take a drug test.
  • Experience in data engineering.
  • Strong analytical skills.
  • Self-starter with a collaborative mindset.
  • Comfortable in a fast-paced environment.
  • Ability to influence technical decisions.
  • Passion for social change through data.
  • Experience with data-driven projects.

Benefits

  • Opportunity to make a positive community impact.
  • Work with a mission-driven team.
  • Shape the future of data engineering practices.
  • Collaborative work environment.
  • Potential for professional growth.
  • Engagement with public safety and government agencies.
  • Access to innovative data solutions.
  • Support for personal and professional development.
  • Competitive compensation package.
  • Flexible working conditions.
ForceMetrics logo

ForceMetrics

ForceMetrics is dedicated to transforming data for social change, focusing on enhancing the capabilities of public safety and government agencies. By leveraging data-driven innovation, the company aims to empower responders to make informed decisions that address significant societal challenges. With a mission to create a positive community impact, ForceMetrics is committed to improving the lives of individuals through better data utilization and modernized systems.

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