Note: The job is a remote job and is open to candidates in USA. Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, focusing on improving safety and operational efficiencies for organizations in the rail industry.
Responsibilities
- Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience
- Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data
- Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products
- Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication
- Translate complex analytics and business questions into actionable, production-grade data solutions
- Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products
- Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure)
- Ensure data quality, integrity, and security across all stages of the data lifecycle
- Mentor and provide technical guidance to junior data engineers and team members
- Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership
- Proactively recommend and implement improvements to existing data infrastructure and software programs
- Stay current with industry trends and emerging technologies in geospatial data engineering
Skills
- An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes
- Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data
- Experience building solutions with Python
- Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation
- Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure)
- Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka
- Experience integrating with API-driven, service-to-service web services
- Demonstrated ability to lead projects, mentor team members, and drive technical decisions
- Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively
- Excellent organizational, interpersonal, and communication skills
- Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely)
- Experience deploying and scaling machine learning (ML) models/algorithms in production
- Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles)
- Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms
- Experience working with LiDAR data and deriving real-world insights from point clouds
- Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms
- Experience with data streaming, real-time data processing, or cloud-native geospatial solutions
- Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics)
- Experience with OAuth, authentication, and API key management for secure service-to-service communication
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