
201 - 500 employees
Founded 2012
🤖 Artificial Intelligence
🏛️ Government
🔒 Cybersecurity
Artificial Intelligence • Government • Cybersecurity
Mark43 is the trusted leader in public safety technology, providing a secure, all-in-one platform for agencies to save time, stay compliant, and ensure community safety. Through innovative AI-powered tools and a modern cloud-native infrastructure, Mark43 empowers public safety agencies to enhance their operational efficiency, conduct instant reporting, and share real-time data. Designed specifically for first responders, Mark43 supports law enforcement and other public safety agencies in their mission to serve and protect communities.
🕒 April 1
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201 - 500 employees
Founded 2012
🤖 Artificial Intelligence
🏛️ Government
🔒 Cybersecurity
Artificial Intelligence • Government • Cybersecurity
Mark43 is the trusted leader in public safety technology, providing a secure, all-in-one platform for agencies to save time, stay compliant, and ensure community safety. Through innovative AI-powered tools and a modern cloud-native infrastructure, Mark43 empowers public safety agencies to enhance their operational efficiency, conduct instant reporting, and share real-time data. Designed specifically for first responders, Mark43 supports law enforcement and other public safety agencies in their mission to serve and protect communities.
• Mentored fellow data engineers through code reviews, architectural decisions, and technical planning sessions • Led the design and implementation of scalable, secure data pipelines using dbt, Apache Airflow, and SQL • Collaborated with Product Managers to launch new customer-facing analytics capabilities • Partnered with DevOps to optimize cloud infrastructure with Terraform and AWS-managed services • Built and maintained integrations with MySQL, SQL Server, and OLAP systems to support product insights and internal operations • Participated in our on-call rotation to ensure platform reliability and performance • Contributed to the hiring, onboarding, and professional development of the Data Engineering team • Explored and evaluated new tools—including AI-assisted coding platforms like Claude and Windsurf—to improve engineering workflows
• Strong proficiency in SQL and Python • Hands-on experience with AWS infrastructure and data services • Familiarity with MySQL, SQL Server, and OLAP databases • Experience using Terraform or other infrastructure-as-code tools • Expertise in modern data tooling, particularly dbt and Apache Airflow • Operating reliable and performant pipelines in production environments • Building data platforms that support both internal stakeholders and external customers
• Health insurance • Paid time off • 401k • Bonus opportunity • Company stock options
Apply Now🕒 April 1
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