Lead Geospatial Data Engineer

Logic20/20, Inc.

. Lead the design, development, and implementation of scalable cloud-based data solutions .

Posted 10/2/2026full-timeRemote • Washington • United StatesSenior💰 $156,348 - $175,194 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in leading data engineering initiatives, with a strong focus on designing and implementing scalable cloud-based data solutions. Proficient in technical oversight, mentoring, and effective communication with both technical and non-technical stakeholders.

Highest-signal resume keywords

Data EngineeringPySparkSQLCloud ServicesGIS Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData IntegrationCloud-Native ArchitectureTechnical OversightCode ReviewData TransformationGeospatial Data PlatformsApache SedonaComputer VisionLiDAR

Soft Skills

Stakeholder ManagementCommunicationMentoring

Tools & Technologies

Palantir Foundry

Industry Keywords

Utility IndustryEnergy SectorAsset-Intensive IndustriesEnterprise ModernizationCloud Transformation

Tech Stack

Tools & technologies

ApacheCloudPySparkSQL

About the role

Key responsibilities & impact

Lead the design, development, and implementation of scalable cloud-based data solutions
Provide technical oversight and code review for engineering teams to ensure quality, scalability, and maintainability
Partner with business stakeholders, product owners, architects, and engineering teams to translate business needs into technical solutions
Guide technical decision-making related to data ingestion, transformation, storage, and integration
Support solutions involving geospatial, imagery, and enterprise data platforms
Collaborate with cross-functional teams to evaluate tools, technologies, and implementation strategies
Mentor engineers and establish engineering best practices across projects
Communicate technical concepts effectively to technical and non-technical audiences
Participate in solution discovery, planning, estimation, and delivery activities

Requirements

What you’ll need

10–15 years of experience in data engineering, software engineering, or related technical disciplines
Experience leading technical teams and overseeing enterprise-scale data initiatives
Strong expertise in PySpark, SQL, and cloud services
Experience with GIS technologies, geospatial data platforms, and Apache Sedona
Experience designing and implementing data pipelines, integrations, and cloud-native architectures
Strong communication and stakeholder management skills
Experience working within utility, energy, or other asset-intensive industries
Experience reviewing technical designs, implementation approaches, and engineering deliverables
Palantir Foundry experience is highly preferred
Experience with computer vision, imagery, LiDAR, or related large-scale image datasets
Consulting experience in a client-facing environment
Experience supporting enterprise modernization and cloud transformation initiatives

Benefits

Comp & perks

Performance-based bonuses and other incentives
Competitive compensation package
Supportive, globally connected work environment
Advanced tools and technology
Opportunities for career growth