
Lead Geospatial Data Engineer
Posted 4 days ago

Posted 4 days ago
This is a fully remote position, open to applicants in Washington.
β’ Oversee the design, development, and execution of scalable cloud-based data solutions.
β’ Provide technical guidance and conduct code reviews for engineering teams to ensure high standards of quality, scalability, and maintainability.
β’ Collaborate with business stakeholders, product owners, architects, and engineering teams to convert business requirements into technical solutions.
β’ Direct technical decision-making related to data ingestion, transformation, storage, and integration processes.
β’ Support solutions that involve geospatial, imagery, and enterprise data platforms.
β’ Work alongside cross-functional teams to assess tools, technologies, and implementation strategies.
β’ Mentor engineers and promote engineering best practices across various projects.
β’ Effectively communicate technical concepts to both technical and non-technical audiences.
β’ Engage in solution discovery, planning, estimation, and delivery activities.
β’ 10β15 years of experience in data engineering, software engineering, or relevant technical fields.
β’ Proven experience in leading technical teams and managing enterprise-scale data projects.
β’ In-depth knowledge of PySpark, SQL, and cloud services.
β’ Familiarity with GIS technologies, geospatial data platforms, and Apache Sedona.
β’ Experience in designing and implementing data pipelines, integrations, and cloud-native architectures.
β’ Excellent communication and stakeholder management abilities.
β’ Background in utility, energy, or other asset-intensive industries.
β’ Proficient in reviewing technical designs, implementation strategies, and engineering deliverables.
β’ Experience with Palantir Foundry is highly desirable.
β’ Knowledge of computer vision, imagery, LiDAR, or related large-scale image datasets.
β’ Consulting experience in a client-facing setting.
β’ Involvement in supporting enterprise modernization and cloud transformation projects.
β’ Performance-driven bonuses and additional incentives.
β’ Competitive salary and compensation package.
β’ A supportive and globally connected work environment.
β’ Access to advanced tools and technologies.
β’ Opportunities for professional growth and advancement.
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