Integration Developer

General Responsibilities

• Data Pipeline Development: Design, build, optimize, and maintain ETL/ELT pipelines that move and transform large volumes of data from source systems into our Databricks analytics environment.
• Systems Integration: Build and maintain APIs and integration layers (REST, SOAP) that enable seamless data flow between enterprise applications, working across a range of data formats including JSON, CSV, and XML.
• Platform Monitoring & Support: Monitor and support development and production environments within Databricks to ensure system availability, reliability, and data quality.
• Data Modeling: Develop data models and pipelines that support reporting, dashboards, and analytical use cases across multiple business teams.
• System Optimization: Analyze existing integrations and pipelines to identify performance bottlenecks; implement best practices in code quality, data modeling, and architecture.
• Cross-Functional Collaboration: Partner closely with business subject matter experts, data scientists, and IT members to deliver reliable, clean data that meets operational needs.
• Documentation & Standards: Create and maintain clear technical documentation; adhere to coding standards and governance practices that support long-term maintainability and scalability.
• Version Control: Use GitHub or similar version control platforms for collaborative development, code reviews, and repository management.
• Mentorship (Senior Candidates): Provide guidance to less experienced team members and contribute to a culture of knowledge-sharing across the team.

Minimum Qualifications

• 5+ years of relevant experience in data engineering, software development, or systems integration; mid-level candidates with strong fundamentals and demonstrated potential are encouraged to apply.
• 3 years of experience working in the oil and gas industry is required.
• Bachelor's degree (BS/BA) in Computer Science, Engineering, Business Analytics, Statistics, or a related field; equivalent practical experience will be considered.
• Proficiency in Python and/or other modern languages (Java, C++, R); solid understanding of object-oriented design principles.
• Hands-on experience with Databricks or a comparable cloud-based data platform (e.g., Snowflake); strong working knowledge of SQL.
• Experience designing and maintaining REST and/or SOAP APIs; familiarity with authentication and security best practices.
• Experience with ETL/ELT frameworks and tools (e.g., dbt); comfortable working with JSON, CSV, and XML formats.
• Strong verbal and written communication skills; ability to translate technical concepts for non-technical stakeholders across all levels of the organization.
• Capable of working independently and integrating effectively within multi-disciplinary teams in a fast-paced environment.
• Significant exposure to upstream oil and gas datasets, systems, and operational workflows is strongly preferred.
• Experience working with or exploring AI/ML tools, large language models, or AI-assisted development workflows is a plus.