<h3>Company Description</h3><p></p><h3>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, and you must be willing to take a drug test.<br /> </h3><h3>ForceMetrics™ mission is to transform data for social change. We’re striving to make a positive community impact by helping public safety and government agencies better utilize data to benefit every individual. By bringing data-driven innovation to dated systems and processes, ForceMetrics is empowering responders to make better, more informed decisions in the moment, ultimately working to solve some of the toughest societal problems.  </h3><p></p><h3>About the role</h3><p></p><p>HOW YOU WILL HAVE IMPACT</p><h3>We’re looking for a mission-driven Data Engineer to join ForceMetrics in designing, building, and scaling a power data platform that fuels insights for internal teams and external stakeholders alike. In this role, you’ll build and maintain robust, reliable data pipelines that power our product, support complex analytics, and enable data-driven decisions for our users.</h3><p></p><p>As an early member of our team, youll have a unique opportunity to shape our data engineering best practices, influence critical technical decisions, and create key areas of ownership. We’re actively seeking someone who is a self-starter, comfortable in a fast-paced, collaborative environment, and excited to contribute to a growing team with a bold mission. </p><p></p><p><strong>WHAT YOU WILL DO</strong></p><p></p><p>Develop scalable and reliable data pipelines to collect, transform, and load customer data, maintaining high standards for data integrity and quality.</p><p></p><ul> <li>Build, customize, and configure self-service tools to empower data consumers across the company to extract, analyze, and visualize data from internal sources</li> <li>Continuously evaluate and refine data sources and implement processes to enhance data accuracy, completeness, and reliability</li> <li>Stay up-to-date with emerging technologies and make recommendations for new tools, metrics, and techniques to improve data engineering processes and outcomes</li> <li>Partner with teams across the company to understand business objectives and develop analytics solutions that drive key results</li> </ul><p></p><p><strong>WHAT YOU MUST HAVE</strong></p><p></p><ul> <li>3+ years of experience in Data Engineer or relevant role</li> <li>3+ years of experience with SQL and other languages (e.g. DQL, Python, etc.)</li> <li>Proficiency with Relational Databases (i.e. Postgres, MySQL, Microsoft SQL, etc.)</li> <li>Excellent skills in data manipulation, reverse engineering, and solving complex data challenges</li> <li>Experience with data analysis and visualization tools such as Kibana, Tableau, or Power PI</li> <li>Proven background designing and managing data lakes, data warehouses, and other modern scalable data technologies</li> <li>Skills leveraging technologies like Apache Iceberg, Apache Parquet, Apache Arrow, BigQuery, and Amazon S3 to build and maintain efficient data systems</li> <li>Highly analytical with meticulous attention to detail, ensuring data quality and integrity in every project</li> <li>Self-starter with the ability to work autonomously, manage priorities, and thrive in a fast-paced startup environment<br /> </li> </ul><p><strong>WHAT WILL MAKE YOU STAND OUT</strong></p><p></p><ul> <li>Early stage tech startup experience</li> <li>Passion for making a difference in the lives of many</li> <li>Past exposure to law enforcement, public safety, or to similar data systems</li> <li>Computer Science or Engineering degree from 4-year accredited university</li> <li>Advanced Elasticsearch experience building search queries and aggregations</li> <li>Experience with object-oriented design and software design patterns</li> <li>Familiarity with data pipeline observability</li> <li>Experience with Docker, Kubernetes, or CI/CD</li> <li>Prior experience working on an Agile/Scrum team</li> </ul>

ForceMetrics

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