Mark43
LeadDataEngineer
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“Lead Data Engineer at Mark43. Skills: technical leadership, hands-on execution, data infrastructure, analytics innovation. 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”
What You'll Achieve.
improve the safety and quality of life for all; sets a new standard for the tools upon which first responders rely; shaping the future of our data infrastructure; drive analytics innovation across the company; ensure platform reliability and performance
Industry & Context.
on-call rotation, authorized to work for any employer in the country in which the role is being hired, unable to sponsor or take over sponsorship of an employment visa
What They're Looking For.
Must Have
SQL, Python, AWS infrastructure and data services, MySQL, SQL Server, OLAP databases, Terraform or other infrastructure-as-code tools, dbt, Apache Airflow, Operating reliable and performant pipelines in production environments, Building data platforms that support both internal stakeholders and external customers
What You'll Do.
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
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
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
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
How You'll Work.
Team & Collaboration
partnering cross-functionally; Collaborated with Product Managers; Partnered with DevOps; mentoring teammates
Process & Methodology
technical planning sessions
Full Job Description
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. 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 la
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