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Staff Software Engineer

4 months ago

Rochester, New York, United States Eagleview Full time

Eagleview

Locations: 1983
ID 1983
Categories: Engineering
Job Type: Regular Full-Time
Work Type: Hybrid

Bengaluru, India
Engineering
Regular Full-Time
Hybrid
1983
Job Description About Us

Mixing technology, data, and first-in-class innovation, EagleView is not only leading the property data analytics market, but also changing lives along the way. Come join us and make great things happen

EagleView is a fast-growing technology company driving game-changing innovation in multibillion-dollar markets such as property insurance, energy, construction, and government. Leveraging 20+ years of the most advanced aerial imaging technology in the world, along with the most recent advances in machine learning and AI, EagleView is fundamentally transforming how our customers do business.


Overview

EagleView is looking for an experienced Staff Software Engineer to design, develop, and maintain mission-critical at-scale cloud-based geospatial data pipelines and data management environments. Ideal candidates will have worked in a similar capacity as part of a high technology and/or data products company developing highly scalable data pipelines in the GIS, mapping, and/or geospatial data space.

Leveraging your past experiences and cloud-based data processing skills, you will play a technical leadership role in architecting and building EagleView's next generation geospatially oriented data pipelines and repositories. This emerging technology ecosystem will enable exponential growth of our high-precision geospatial data footprint. Your deep understanding and prior technical leadership building open-source data processing frameworks, event management ecosystems, workflow, data quality methods, and cloud-based services design will be crucial to your success in this role.


Responsibilities
  • Perform technical design and hands-on development of enterprise-scale geospatial and geometric data pipelines and repository services
  • In partnership with data and enterprise architects, design and implement pipeline capabilities, data taxonomies, and API payload definitions using best practices and industry standards
  • Lead and/or actively participate in team technical activities including story breakdown sessions, sprint planning, effort estimation, code reviews, NFR assessments, and architectural reviews
  • Actively evaluate, prototype, and recommend next-generation cloud-native data pipeline and data repository technologies
  • Identify and implement data quality management capabilities, AI-based monitoring tools, and associated governance controls/reporting
  • Participate in the troubleshooting and RCA process for production issue escalations
  • Create clear and concise technical documentation, production support runbooks, and supporting quality metrics
  • Assess, refactor, and optimize high-volume repository transaction and distribution channels

Qualifications
  • 10+ years of professional experience building enterprise-scale real-time and batch-based data pipelines and data distribution (serving) capabilities.
  • 5+ years developing and delivering high-volume data processing solutions within a cloud-native environment, preferably AWS
  • 2+ years in a technical leadership role within a technology or data product organization
  • Deep experience leveraging modern open-source data processing/data pipeline technologies, frameworks, and cloud tools (S3, Lambda, Spark, Kinesis, Kafka, Airflow, Steps, etc.)
  • Experience working with geospatial/geometric datasets and geospatial/vector data stores
  • Previous experience building enterprise-caliber, event-driven distributed systems using cloud-based architectural patterns and infrastructure
  • Intimate familiarity with cloud-based open-source SQL and NoSQL databases including experience in performance tuning and query optimization
  • Familiarity with domain-based data architecture, metadata management, machine learning environments, and data quality frameworks
  • Test-driven development mindset with a focus on data quality, services scalability, and code efficiency
  • Previous experience with Functional programming methods using modern development languages (Go, Scala, etc.) is preferred
  • Bachelor's degree in computer science or engineering required
  • Strong oral and written English skills are required
  • Previous direct collaboration with US-based engineering resources is a plus
  • Collaborative working style with a primary focus on the predictable delivery of quality outcomes.
  • Experience working within governed Enterprise Agile planning and delivery organizations using Scrum practices preferred


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