Geospatial Data Engineer

We are seeking a highly skilled and motivated Data/Geospatial Engineer to join our dynamic team. In this role, you will play a pivotal role in the transformation and management of Geospatial Data, ensuring its accuracy, availability, and usability for a variety of applications. You will collaborate closely with cross-functional teams to develop data models, optimize spatial operations, and contribute to the development of customer-facing APIs.

A bit about you

• Bachelor's or Master's degree in Computer Science, Geospatial Science, or related field.

• Proven experience in Geospatial Data management and transformation.

• Strong background in Data Engineering, including data lake and pipeline management (5+ year).

• Proficiency in databases such as Postgres and PostGIS.

• Exceptional knowledge of data modeling and spatial concepts.

• Proficiency in SQL and Python; knowledge of Spark, Typescript and JavaScript is a plus.

• Experience in spatial optimization and customer-facing API development is advantageous.

• Excellent problem-solving skills and a keen attention to detail.

• Effective communication and team management skills

About your role at Ready ️

• Geospatial Data Modeling:

  • Collaborate closely with the frontend team, product team, and Geospatial Data scientist to understand the challenge and provide data modeling solutions.

  • Ensure data models are adaptable to evolving project needs and future scalability.

  • Design and optimize database schemas to support spatial-temporal queries and analyses.

  • Implement data indexing and partitioning strategies for improved query performance.

• Data Transformation and Ingestion:

  • Execute data transformation processes to convert raw Geospatial Data into structured formats.

  • Orchestrate the data transformation and ingestion workflow with Airflow.

  • Set up scheduled data transformation and ingestion jobs for scalability.

• Data Storage and Maintenance:

  • Implement and maintain data lake and data warehouse architecture for efficient storage and retrieval of Geospatial Data.

  • Design different strategies for optimizing the spatial-temporal data storage, update, and backup.

  • Design and implement best practice with cloud solutions: AWS and GCP.

• Spatial Data Expertise:

  • Apply expertise in static tiling, dynamic tiling, and raster tiles to optimize the retrieval and rendering of Geospatial Data.

  • Maintain the tileserver for performance and reliability

  • Implement spatial indexing and caching strategies to accelerate spatial data access.

• Data Verification:

  • Develop automated data verification pipelines to validate the quality and consistency of Geospatial Datasets.

  • Leverage statistic and data visualization tools to validate the data or identify data abnormalities.

  • Implement data cleansing and transformation routines to correct errors and inconsistencies.

  • Monitor data verification processes and promptly address issues to maintain data reliability.

• Programming languages:

  • Utilize SQL and Python to perform data manipulation, transformation, and analysis tasks.

  • Develop custom scripts and functions to automate Geospatial Data processing workflows.

  • Develop custom packages for Data Engineer team to share

  • Stay updated on the latest updates in cloud SQL and Python for Data Engineering.

• Customer-Facing API Development:

  • Contribute to the development of customer-facing APIs that expose Geospatial Data and services.

  • Ensure API endpoints are well-documented, secure, and efficient in data retrieval and delivery.

  • Collaborate with frontend developers to integrate APIs seamlessly into applications.

• Machine Learning, Optimization and AI - From Solution to Production:

  • Collaborate with domain experts to understand specific spatial challenges and devise effective solutions.

  • Solve complex spatial optimization problems, such as route planning and network planning, to enhance geospatial capabilities.

  • Work on integrating machine learning or AI frameworks into production environments to leverage Geospatial Data.

  • Collaborate with data scientists and AI engineers to deploy models that enhance geospatial capabilities.

  • Ensure the scalability and reliability of AI-driven solutions for geospatial applications.

About Ready

• Creative problem solvers approaching a legacy industry with a new point of view

• Humble but ambitious, knowledgeable but curious, persistent but not obnoxious

• Concise and effective in written and spoken communication

• Comfortable working remotely

• One team, one dream

About what you get…

• Competitive salary plus meaningful equity upside; salary range is $140,000 to $180,000

• Competitive (and ever expanding) benefits for employees and dependents

• Opportunities to learn and grow – all things startups

• A chance to play a role in defining the roadmap as we pursue a bold vision and and a big goal

• Work from anywhere you want, as long as you can get great internet (and your work here at Ready helps make this true in more places).

• To get away - we all convene 2-3x / year for [optional, encouraged] retreats

• We’re actively shaping our benefits program: have a say in which benefits matter to you

• The charter to realize a market that is set to receive $65 billion in grant funding across the United States