Job Listing Description

Geospatial Modeling Data Engineer

PDS Tech, Inc. is seeking a Geospatial Modeling Data Engineer in San Francisco, CA.


● We are looking for an experienced Data Engineer to focus on Machine Learning on Geospatial Data in our Data Insights Science group. You will work with a team of highly experienced remote sensing and geospatial data scientists to build a large-scale processing pipeline that applies geospatial datasets and computing power towards complex machine learning applications globally. Your work is a critical horizontal capability that builds upon existing analysis ready data processing capabilities and accelerates science innovation at scale for multiple project directions.

What You Will Do:
● Implement scalable data-intensive processing pipelines that applies geospatial data to ML/DL models
● Work with massive and complex geospatial datasets in a scientifically robust manner focusing on data provenance, quality, traceability, and error propagation to generate geo-consistent Analysis Ready Datasets
● Actively support the team in the design, implementation and deployment of innovative and effective solutions to datacubes generation and modelling pipelines.
● Transition exploratory research into scalable processing pipelines for further development
● Collaborate with engineering teams (internal stakeholders and external partners) working with geospatial platforms to implement models and algorithms at scale for production
● Produce high quality code and advocate for coding standards with an emphasis on software craftsmanship.

Basic Qualifications:
● Bachelor's degree or above in computer science or related technical field (e.g. Data Science, Information Systems, Information Technology, Engineering, Information Management)
● Skilled in the use of Python for research, data analysis, and/or modeling
● Demonstrated proficiency in Python, and Spark.
● Ability to write queries either in SQL, NoSQL and BigQuery to perform ETL on datasets.
● Experience working with AWS or other public Cloud platforms.
● Experience with code versioning and dependency management systems such as Github.
● Experience in designing unit test cases and implementation of them using testing libraries or test suites such as pytest, JUnit etc.
● Knowledge of remote sensing and geospatial data sources, characteristics, and methods. Experience or familiarity of raster and vector geospatial data format, experience with QGIS.
● Ability to handle multiple, competing priorities in a fast-paced development environment.

Additional Preferred Qualifications:
● Advance degree (MS) in a relevant field)
● One or more years of experience in applying machine learning solutions on a scalable platform to real-world applications.
● Excellent team player skills with high integrity, work ethics, and self-awareness.
● Self-motivated and able to work independently as well as within a team.
● Experience working with and contributing to the open source software community for geospatial software and analysis.
● Familiarity with cloud-based and/or distributed computing.
● Experience in performing exploratory data analysis and visualization.
● Experience in stats/ML model training, validation, data collection and/or working with geospatial data
● Familiarity with agricultural and crop management systems

Job Number: 2110137687
Job Location: San Francisco, CA
Duration: 6 months
Input Date: 09/08/2021
Attention: Amy Kloeppinger
City, State: IRVING, TX 75062
Phone: 214/647-9600
800 Phone: 800/270-4737
Fax Phone: 214/647-9630

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