Lead Data Engineer

Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. At Mark43, our mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role focused equally on technical leadership and hands-on execution. You will play a critical role in shaping the future of our data infrastructure, while mentoring teammates and partnering cross-functionally to drive analytics innovation across the company. What You'll Do: If you were part of our team, here are some things you would have done last week: 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 What You'll Need: 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 Compensation: We believe in equal pay for equal work, and transparency in compensation is a core value. Total compensation for this role is market competitive, including a target base annual salary range of $170,000 - $210,000, plus bonus opportunity, company stock options, and a full benefits package, including health insurance, paid time off, and a 401k. Please be aware that a candidates experience level and geographic location will be used to determine a competitive base salary. The higher end of this range is applicable to experienced candidates in the New York metro and Bay Area. Mark43 is approved to hire in Canada, the UK, and 36 U.S. states, including Alabama, Arizona, California (excluding San Francisco), Colorado, Connecticut, Washington D.C., Florida, Georgia, Iowa, Idaho, Illinois, Indiana, Kansas, Massachusetts, Maryland, Maine, Michigan, Minnesota, Missouri, North Carolina, Nebraska, New Hampshire, New Jersey, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Carolina, Tennessee, Texas, Utah, Virginia, Vermont, Washington, Wisconsin, and West Virginia. Before applying to a remote role, please ensure that you are able to perform the position in one of the states listed above. State locations and specifics are subject to change as our hiring requirements shift. Our Privacy Notice describes how Mark43 uses and protects the personal information of prospective employees during the recruitment process. It informs you about our handling of the personal information you provide to us when you apply for a position in our organization and in general when you express your interest in joining our team. As a part of Mark43's secu