Lead Geospatial Data Engineer

Logic20/20, Inc.

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

Posted 9/19/2026full-timeRemote • Washington • United StatesSenior💰 $173,077 - $179,863 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in designing and implementing scalable cloud-based data solutions, with strong expertise in Python, SQL, and Azure cloud services. Proven ability to lead technical teams, mentor engineers, and communicate effectively with both technical and non-technical stakeholders.

Highest-signal resume keywords

Data EngineeringPythonSQLAzure Cloud 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 Review

Soft Skills

CommunicationStakeholder ManagementMentoring

Tools & Technologies

Esri-Based Application EcosystemsGeospatial Data PlatformsCloud Transformation Tools

Industry Keywords

Utility IndustryEnergy SectorAsset-Intensive Industries

Tech Stack

Tools & technologies

AzureCloudPythonSQL

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 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
Strong expertise with Python, SQL, and Azure cloud services
Experience with GIS technologies, geospatial data platforms, and Esri-based application ecosystems
Experience leading technical teams and overseeing enterprise-scale data initiatives
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
Preferred: experience with computer vision, imagery, LiDAR, or related large-scale image datasets
Preferred: consulting experience in a client-facing environment
Preferred: experience supporting enterprise modernization and cloud transformation initiatives

Benefits

Comp & perks

Performance-based bonuses and other incentives may be available to eligible employees
Competitive compensation package
Supportive, globally connected work environment
Advanced tools and technology
Opportunities for career growth and professional development