Lead Geospatial Data Engineer

atLogic20/20, Inc.RemoteUS flagWashingtonFull-timeData EngineerSenior$156.3k – $175.2k/year

Posted 4 days ago

This is a fully remote position, open to applicants in Washington.

πŸ“‹ Description

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.


⛳️ Requirements

β€’ 10–15 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.


🏝️ Benefits

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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