Developer building robust, scalable software systems for geospatial data analytics company. Focused on API development and cloud infrastructure in a startup environment.
Responsibilities
Work with a team of analysts and developers to create an analytics software platform.
Automate data source API information retrieval. Integrate data from multiple sources into analytics pipelines and relational databases.
Deploy and maintain a customer facing API and documentation.
Write automated web data scrapers.
Clean, process and integrate into data stores.
Provide programming support for devops and MLops projects, data science and engineering staff.
Test, debug and deploy code into cloud microservices.
Refactor code bases to comply with standards. Profile and optimize code.
Implement best practices for code quality, testing, and deployment automation in a continuous integration and deployment (CI/CD) environment.
Stay updated on emerging technologies and industry trends related to data processing and cloud computing.
Requirements
BS degree in a STEM field. 4 years+ experience in a data engineering or python development role.
In-depth understanding of backend data engineering, relational database design, ETL and ELT pipelines, building scalable near-real time data streams, batch processing
2+ years of experience working in Cloud Systems (GCP, AWS, Azure)
Experience with Apache Spark, Apache Airflow, Dagster (in Python or Scala)
Experience with geospatial data processing tools and databases is a plus
Experience with multiprocessing, multithreading, query optimization, and Cython is desirable.
The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills.
Exposure to energy, oil & gas domain is preferred.
API-first design, internal package development, and SQL database optimization
Data pipeline development, ETL processes, and real-time streaming systems
Performance optimization including multiprocessing, multithreading, query optimization
GitHub Actions and advanced CI/CD pipeline development
Benefits
Competitive salary and comprehensive benefits (medical, dental, vision
Significant growth opportunities as an early technical team member
Collaborative and innovative work environment
Fully remote role with access to Houston and London offices
Direct impact on products used by major energy companies and government agencies
Mentorship from experienced engineers and technical leaders
Conference attendance and continuing education support
Opportunity to shape engineering direction and best practices
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