26.08. Senior Data Engineer V2

Webcreek•Houston, TX

8d•Onsite

About The Position

WebCreek is seeking a Senior Data Engineer for an on-site role in Houston, Texas. The position focuses on designing, building, and supporting enterprise-level data architecture, backend services, APIs, and data solutions in complex business environments. The engineer will use Python, FastAPI, RESTful APIs, relational and non-relational databases, SQL optimization, ETL pipelines, event-driven architecture, CI/CD workflows, and production support to deliver reliable, scalable solutions for enterprise operations. The role works closely with business and technical teams to understand data needs and build dependable services. It also involves maintaining code quality and documentation, supporting production systems, and using AI-assisted development tools to aid software design, coding, research, and technical decisions.

Requirements

At least 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.
Experience with FastAPI.
Solid experience with relational databases and strong SQL skills, including writing, optimizing, and troubleshooting queries.
Working knowledge of non-relational database technologies and their 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.

Nice To Haves

Experience with Docker and Kubernetes.
Experience 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.

Responsibilities

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