Data Engineer

Job not on LinkedIn

September 5

Apply Now
Logo of ForceMetrics

ForceMetrics

SaaS • Security

ForceMetrics is a technology company that provides a powerful decision-assist platform designed to make responders safer and more effective. The platform integrates data from multiple sources to provide real-time, valuable information to responders such as police officers, emergency dispatchers, and cross-agency teams. ForceMetrics leverages AI technology to deliver instant search results and actionable insights, enabling law enforcement and public safety agencies to make better-informed decisions quickly. The platform is trusted by various public safety agencies across the United States, improving situational awareness and reducing response times.

11 - 50 employees

Founded 2020

☁️ SaaS

🔐 Security

📋 Description

• 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)

🏖️ Benefits

• A strong sense of mission for impacting real communities and solving complex societal problems • Work alongside other top talent in a rewarding and enjoyable culture • Company Equity (seed-state) • Medical, Dental & Life Insurance • 401(k) • 100% Remote • Standard holidays and paid time off • Salary range for this position is $90K to $120K+ DOE

Apply Now

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