lever
Senior Geospatial Data Engineer
Oci
Remote, USA
Full-time
Senior · 5+ years experience
Remote
Discovered 1 weeks ago
PythonSQLGCPAWSAzureFastAPI
Free
Job Fit Check
Base Career helps you apply smarter for this job.
?%
Ready to ScanKey skills for this role
PythonSQLGCP
Key Skills for This Role
PythonSQLGCPAWSAzureFastAPI
Full Job Posting
- 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.
- 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.
Apply for this job in 1 click
Skip the repetitive application forms
Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.
Trusted by over 500,000 job seekers on Base Career
More from this employer