Software that helps ISPs connect more people to better broadband.

Geospatial Data Engineer

$140K - $180K
Job Type
6+ years
Connect directly with founders of the best YC-funded startups.
Apply to role ›
Mike Faloon
Mike Faloon

About the role

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 an antiquated system with a revolutionary viewpoint.
  • Humble but ambitious, knowledgeable but curious, persistent but not obnoxious.
  • Concise and effective in written and spoken communication.
  • Comfortable working remotely.

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

About Ready

Ready builds software tools that help local internet service providers connect more people to better broadband services. Local ISPs connect more than 50 million U.S. homes to the internet today, but their businesses typically run on a mess of legacy systems, and as a result, they struggle to work effectively, and usually fail to deliver great subscriber experience.

With Ready, local ISPs get everything they need to deliver seamless subscriber experience – from finding & signing prospects in their geographic area, to onboarding and billing, to integrations with legacy data systems – all in one place.

If you’re a talented engineer looking for meaningful, rewarding experience, there are many reasons to consider joining Ready for your next chapter, including:

  • Constant engagement: large product surface area means there’s never a shortage of interesting, challenging, meaningful problems to solve.
  • Team motto is “builders building”: We strongly prefer shipping results to customers over heavy processes and lots of meetings.
  • Experienced founders and a culture of sharing mean there are plenty of opportunities to learn all about building startups, not just coding.
  • Aspects of the product are customer-facing enterprise tools, other aspects face the subscriber, a rare combo of B2B and B2B2C.
  • Remote team: work anywhere you want, as long as you get strong internet (and the platform we’re making helps make that true in more places).
  • We’re well funded, and place strong emphasis on revenue from customers – our ambition is to build a large and important company with many options down the road and minimal dilution along the way.
Team Size:11
Location:San Francisco
Mike Faloon
Mike Faloon
Jase Wilson
Jase Wilson