Senior Developer - Vulcan
SynMax
•
Houston, TX
0
0
0
0
Not Applicable
Posted April 3, 2026
2 variants
Job link
Thinking about this job
Responsibilities
Commitments
Responsibilities
- Opportunity to shape engineering direction and best practices
- 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
Commitments
The ability to work effectively in a team environment with remotely located staff in different time zones, demonstrating strong communication and coordination skills
Significant growth opportunities as an early technical team member
Fully remote role with access to Houston and London offices
Conference attendance and continuing education support
Not Met Priorities
What still needs stronger evidence
Requirements
- 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
Preferred Skills
- 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
- 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
Education
- (Not required) – BS degree in a STEM field.
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.
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.
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.
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.
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.