SynMax-posted 2 months ago
Full-time • Mid Level
Remote • Houston, TX
11-50 employees

SynMax 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.

  • 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.
  • 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)
  • The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills.
  • 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
  • Experience with geospatial data processing tools and databases is a plus
  • Experience with multiprocessing, multithreading, query optimization, and Cython is desirable.
  • Exposure to energy, oil & gas domain is preferred.
  • 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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