Senior Data Engineer V2

Webcreek is a quickly growing company offering a full-time Senior Data Engineering role on-site in Houston, TX (relocation candidates are encouraged to apply). You will work within a flexible environment supported by a diverse, international team, with compensation that includes a competitive salary and regular revisions.

Expect strong practical support for your long-term growth: WebCreek University provides in-house IT training and certifications, plus benefits focused on stability and wellbeing, including a 401(k) Retirement Plan, comprehensive Medical, Dental, and Vision coverage, PTO and paid holidays, and wellness programs. Top performers can also access exclusive workcation opportunities.

Responsibilities

• Design, develop, maintain, and support backend services and data solutions using Python.
• Build and consume RESTful APIs with hands-on experience using FastAPI.
• Design and implement enterprise-level data architecture to meet business and technical requirements.
• Work with relational databases, writing, optimizing, and troubleshooting SQL queries.
• Support and apply non-relational database technologies based on the use case.
• Design and implement custom ETL pipelines and event-driven systems at scale.
• Collaborate with application teams, data teams, business analysts, QA teams, and stakeholders to deliver reliable solutions.
• Support CI/CD workflows and development automation using tools such as GitHub and Jenkins.
• Use the Elastic Stack including Elasticsearch, Kibana, and APM for log aggregation, search, monitoring, and application performance visibility.
• Troubleshoot and resolve production issues tied to APIs, databases, data flows, performance, and system reliability.
• Use AI-assisted development tools to support software design, code generation, research, and technical decision-making.
• Maintain code quality, documentation, and backend, API, and data engineering best practices.

Requirements

• 5+ years of professional experience in data engineering, backend development, or enterprise data application development.
• Strong proficiency in Python and Python fundamentals.
• Hands-on experience building and consuming RESTful APIs.
• Required experience with FastAPI.
• Solid experience with relational databases and strong SQL skills.
• Ability to write, optimize, and troubleshoot SQL queries.
• Working knowledge of non-relational database technologies and appropriate use cases.
• Experience designing and implementing ETL pipelines.
• Experience with event-driven architecture and scalable data workflows.
• Familiarity with CI/CD practices and tools such as GitHub and Jenkins.
• Familiarity with Elastic Stack, including Elasticsearch, Kibana, and APM.
• Strong analytical, debugging, troubleshooting, and problem-solving skills.
• Ability to work independently, understand complex systems, and deliver high-quality solutions.
• Strong communication skills and ability to collaborate with technical and business stakeholders.

Technologies

Python, FastAPI, REST API, SQL, ETL, event-driven architecture, CI/CD, GitHub, Jenkins, Elasticsearch, Kibana, APM

Preferred Qualifications

• Experience with Docker and Kubernetes.
• Experience working in oil and gas, energy, or enterprise data environments.
• Familiarity with oil and gas operations or industry-specific data concepts.
• Experience supporting production systems and business-critical applications.
• Experience with AI-assisted development tools such as GitHub Copilot, ChatGPT, Claude, Cursor, or similar platforms.
• Experience with cloud platforms is a plus, though this is not primarily a cloud infrastructure role.