ForceMetrics

Data Engineer

ForceMetrics

full-time

Posted on:

Origin:  • 🇺🇸 United States • Colorado

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Salary

💰 $90,000 - $120,000 per year

Job Level

Mid-LevelSenior

Tech Stack

ApacheBigQueryCyber SecurityDockerElasticSearchKubernetesMySQLPostgresPythonSQLTableau

About the role

  • Develop scalable and reliable data pipelines to collect, transform, and load customer data, maintaining high standards for data integrity and quality.
  • Build, customize, and configure self-service tools to empower data consumers across the company to extract, analyze, and visualize data from internal sources
  • Continuously evaluate and refine data sources and implement processes to enhance data accuracy, completeness, and reliability
  • Stay up-to-date with emerging technologies and make recommendations for new tools, metrics, and techniques to improve data engineering processes and outcomes
  • Partner with teams across the company to understand business objectives and develop analytics solutions that drive key results
  • As an early member of the team, shape data engineering best practices, influence technical decisions, and create key areas of ownership

Requirements

  • To apply for this position you must be a U.S. Citizen
  • you must currently live in the U.S.
  • you must pass an FBI background check
  • you must be willing to take a drug test
  • 3+ years of experience in Data Engineer or relevant role
  • 3+ years of experience with SQL and other languages (e.g. DQL, Python, etc.)
  • Proficiency with Relational Databases (i.e. Postgres, MySQL, Microsoft SQL, etc.)
  • Excellent skills in data manipulation, reverse engineering, and solving complex data challenges
  • Experience with data analysis and visualization tools such as Kibana, Tableau, or Power PI
  • Proven background designing and managing data lakes, data warehouses, and other modern scalable data technologies
  • Skills leveraging technologies like Apache Iceberg, Apache Parquet, Apache Arrow, BigQuery, and Amazon S3
  • Highly analytical with meticulous attention to detail
  • Self-starter with the ability to work autonomously, manage priorities, and thrive in a fast-paced startup environment
  • Computer Science or Engineering degree from 4-year accredited university (listed as 'will make you stand out')
  • Early stage tech startup experience (nice to have)
  • Past exposure to law enforcement, public safety, or to similar data systems (nice to have)
  • Advanced Elasticsearch experience building search queries and aggregations (nice to have)
  • Experience with object-oriented design and software design patterns (nice to have)
  • Familiarity with data pipeline observability (nice to have)
  • Experience with Docker, Kubernetes, or CI/CD (nice to have)
  • Prior experience working on an Agile/Scrum team (nice to have)