United States onlySynMax is a pioneering geospatial data analytics company built on the principle of "Why guess when you can know." We deliver AI-powered intelligence to the maritime and energy sectors, transforming satellite imagery, AIS feeds, and market data into actionable insights through our platforms: Hyperion (energy intelligence), Theia (maritime domain awareness), Leviaton (LNG tracking), and Vulcan (power monitoring).With offices in Houston and London, we're a diverse team of engineers, data scientists, intelligence analysts, and industry experts dedicated to bringing transparency to traditionally opaque industries.
The Job
We're seeking a skilled Developer to join our growing engineering team and help build the backbone of our industry-disrupting analytics platforms. You’ll be responsible for developing robust, scalable software systems with a strong emphasis on API development, data integration, and cloud infrastructure. This is an exceptional opportunity for someone who thrives in a fast-paced startup environment and wants to grow alongside a rapidly expanding company. As we scale, you'll have the chance to shape our technical architecture, development practices, and future roadmap. We’re open to hiring across experience levels (2+ years) depending on skills and fit.
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
What We Offer
- 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
Key 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.
How To Apply
Please submit your resume, a cover letter highlighting your experience with production-grade Python development and API design, and any relevant project portfolios or GitHub repositories. We're particularly interested in examples where you've built scalable APIs, integrated diverse data sources, or developed internal tooling and packages.
