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.