Mark43
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.
Lead Data Engineer
Job not on LinkedIn
🕒 April 1
📊 Check your resume score for this job
Improve your chances of getting an interview by checking your resume score before you apply.
Mark43
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.
📋 Description
• 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
🎯 Requirements
• 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
🏖️ Benefits
• Health insurance • Paid time off • 401k • Bonus opportunity • Company stock options
Apply NowSimilar Jobs
🕒 April 1
MTC Talent Architecture
1 - 10
Azure Data Engineer developing scalable data solutions leveraging Azure Data Platform for Eastbanc Technologies. Collaborating with teams to enhance data-driven decision-making and insights.
🕒 April 1
Senior Data Engineer working with AI and big data solutions at Ex Parte. Collaborating with teams to build products and support a distributed data platform.
🕒 April 1
Lead Data Engineer responsible for AI self-service portal and microservices at Ex Parte. Collaborate on data platform development and deliver complex client solutions.
🕒 April 1
Staff/ Sr Staff Software Engineer working on data architecture and initiatives for a clean energy platform. Leading engineering best practices to enable real-time decision-making for energy trading and forecasting.
🕒 April 1
AWS Data Engineer building scalable data solutions for utility datasets. Focused on optimizing data pipelines and ensuring data compliance in a remote role.
