Senior Geospatial Data Engineer
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Job Location:
Saint Louis, MI - USA
Monthly Salary:
Not Disclosed
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Object Computing Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product this role you will lead the design and implementation of scalable cloud-based geospatial data infrastructures and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing artificial intelligence cloud computing and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.
What you will do:
- 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.
What you will bring:
- 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.
What will make you stand out:
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.
Required Experience:
Senior IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Object Computing is a women-owned technology consulting firm, with deep expertise in designing, modernizing, and connecting mission-critical platforms and systems. Working in collaboration with a global technology ecosystem, we partner with our clients to build innovative, sustainable ... View more
