Develop full-stack geospatial analysis and automation tools at Maxar Intelligence. Build cloud/on‑prem software, data extraction, and visualizations requiring TS/SCI and hybrid onsite work.
Responsibilities
Create discovery and automation tools to enable geospatial and intelligence analysis of complex problems utilizing an array of data types and sources.
Develop enabling software solutions using a variety of scripting languages that address real world user requirements; writes and debugs custom code and creates user documentation.
Monitor and understand high level operational geospatial processes.
Communicate with multidisciplinary teams and articulate technical concepts and ideas effectively.
Collaborate closely with both end users and fellow technologists to ensure tools and applications meet customer needs.
Play a hands-on role in designing and building solutions that directly impact users as part of a small, multi-disciplinary team.
Requirements
U.S. citizen with active TS/SCI clearance; willing to work onsite 50% of the time or as mission needs dictate.
Degree in a technical field (Computer Science, Engineering, Math, GIS) or equivalent experience.
8+ years of technical experience developing custom software solutions for web, on-prem, and cloud environments.
8+ years of experience performing data extraction, manipulation, and visualization using Java, Python, R, and/or JavaScript.
Capable of working effectively with geographically distributed operations and development teams.
Strong written and verbal communication skills for interacting with customers and internal teams.
Familiarity with data concepts including visualization, management, integration, user interfaces, and databases. (Preferred)
Strong Linux skills with experience in hybrid cloud/on-prem architectures (AWS, C2S, OpenStack, etc.). (Preferred)
Experience with big data technologies such as Kubernetes, Spark, Hive, Hadoop, Accumulo, and ElasticSearch. (Preferred)
Experience with workflow and streaming tools such as Apache NiFi, Apache Airflow, or Kafka. (Preferred)
Knowledge of common industry software tools, DevSecOps practices, and working with open-source resources in government computing environments. (Preferred)
Adaptable, solution-focused mindset that embraces emerging technology enablers. (Preferred)
Benefits
paid time off
health and welfare insurance
401(k) to eligible employees
comprehensive benefits information at https://www.maxar.com/careers/benefits
Software Engineer focused on enhancing customer experiences through TypeScript and modern UI development for Vercel's domain services. Responsibilities span search, purchase, renewal, and other lifecycle aspects.
Software Engineer building data analysis and visualization tools for scientists at Benchling. Collaborating across teams to enhance scientific research through software solutions.
Full - stack Software Engineer at Watershed managing climate and ESG data. Building software products to assist companies with sustainability metrics and carbon data access.
Staff Software Engineer focusing on Pearly's data platform and systems end - to - end. Overseeing architecture, infrastructure, and code with a strong emphasis on TypeScript and SQL in a hybrid work model.
Senior Engineer responsible for Pearly's data platform in a scalable B2B SaaS environment. Collaborate across architecture and software development using modern technologies and AI.
Senior Software Engineer leading architectural design in a tech company focused on innovative energy systems. Building scalable Python/Django services and mentoring engineers within the London team.
Senior Software Engineer in AI Foundations team managing Python services for AI/ML use cases. Working to enhance reliability and integration of AI capabilities across Kraken's energy platforms.
Software Engineer implementing Kraken's global product into client contexts and accelerating features. Working on Python/Django services and collaborating closely with Product Engineering team.
Software Engineer at NetApp developing StorageGRID object storage for AI data lakes. Collaboration with talented developers in a flexible hybrid work environment.