Data Engineer

ForceMetrics transforms data for social change, helping public safety and government agencies better utilize data to benefit every individual.
Data
Mid-Level Software Engineer
Remote
3+ years of experience
AI · Enterprise SaaS

Description For Data Engineer

ForceMetrics is seeking a self-starting, mission-driven Data Engineer to design, develop, monitor, and maintain a robust, scalable data platform. The role involves building reliable pipelines to support data processing and analytics needs, developing self-service tools, and working with cross-functional teams to understand business requirements. As an early team member, you'll have opportunities to forge best practices and create areas of ownership. The ideal candidate has 3+ years of experience in data engineering, proficiency in SQL and other languages, experience with relational databases, data warehouses, and visualization tools. The role offers competitive salary, equity, benefits, and the opportunity to make a positive community impact by helping public safety agencies better utilize data.

Last updated 6 months ago

Responsibilities For Data Engineer

  • Build a scalable and reliable data pipeline that collects, transforms, loads, and curates data from internal systems
  • Develop, customize, and configure self service tools to help data consumers extract and analyze data
  • Drive the collection of new data and the refinement of existing data sources
  • Evaluate new technologies and make recommendations for new metrics, techniques, and strategies
  • Work with cross-functional teams to understand business requirements and build analytical solutions

Requirements For Data Engineer

Python
PostgreSQL
MySQL
  • 3+ years of experience in a Data Engineer or relevant role
  • 3+ years of experience with SQL and other languages (e.g SQL, Python, etc.)
  • Proficiency with Relational Databases (i.e Postgres, MySQL, Microsoft SQL, etc)
  • Excellent data manipulation and reverse engineering skills
  • Experience with data analysis and visualization tools such as Kibana, Tableau, or Power BI
  • Experience with data warehouse technologies and relevant data modeling best practices
  • Experience building data pipelines/ETL and familiarity with design principles
  • Analytically rigorous with high attention to detail
  • Self-starter, able to work independently with little direction
  • US Citizen or US Resident due to strict data privacy requirements
  • Willing to undergo background checks

Benefits For Data Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Competitive Salary + Company Equity (seed-stage)
  • Medical, Dental, Vision & Life insurance
  • 401k
  • 100% Remote
  • Standard holidays and paid time off

Interested in this job?

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