Senior Data Engineer – Real-time Operations (Python/AWS) - Onsite in Houston, TX.

Fulltime position with a benefits package. No C2C please.

Our client is looking for talented data engineering professionals who are passionate about leveraging technology to provide meaningful impact through their work. As part of the client’s development teams, you will contribute to the development of software solutions that aide in driving efficiencies for drilling, completions, production, and subsurface evaluation activities for a premiere, Fortune 200, Oil & Gas company.

*This position will require the candidate to be on-site at our client's office in downtown Houston, TX.

Responsibilities:

Data Management & Integration:

· Design and build pipelines to ingest and transport data

· Own data quality and reliability for app-related data pipelines.

· Collaborate with data and product teams to deliver robust, scalable data solutions.

API Development & Management:

· Design and develop secure, robust, user-friendly APIs for applications and users.

· Ensure API performance, fault tolerance, and comprehensive documentation.

Data Storage & Accessibility:

· Build and support databases specific to app usage.

· Work with enterprise database teams to make relevant app data available to stakeholders.

Analytics & Monitoring:

· Generate business rule-based alerts and notifications for stakeholders.

· Develop and support app health monitoring infrastructure to ensure uptime and reliability.

· Enhance and maintain the performance of real-time streaming data processes.

Additional Responsibilities:

· Understand the oil and gas business domain to translate needs into technical solutions.

· Participate in code review processes to ensure code quality and security.

· Provide data quality support and maintenance for assigned applications.

Requirements:

· Minimum 5 years of experience as a Data Engineer or in a similar role.

· Direct exposure to developing scientific or engineering use cases; or degree in a STEM field.

· Strong proficiency in Python preferred.

· Demonstrated experience in stream processing and real-time data calculations, ideally with IoT data.

· Proven ability in working with data caching, relational databases (RDBMS), and API creation/integration .

· Strong problem-solving skills and a proven track record of learning and adapting to new technologies.

· Excellent collaboration and communication skills, with a keen ability to work effectively within dynamic team environments.

Our Approach to Technology:

We prioritize finding the right cultural fit and strong technical aptitude, with a willingness to learn and adapt. While we've listed technologies based on past implementations, we are flexible to similar experience and value candidates who can demonstrate their ability to excel in a dynamic environment.

· Understanding of Relational Database Management Systems (RDBMS)

o Oracle, SingleStore, MySQL, or Postgres

· Experience with NoSQL Databases

o Redis, MongoDB, and Elasticsearch

· Exposure to Event Log/Message Queuing Systems

o RabbitMQ, Pulsar, or Kafka

· API Development and Integration

o API creation concepts and experience with Python and FastAPI is a benefit

· Stream Processing Expertise

o Experience with large-scale IoT stream processing using Python for real-time data calculations and transformations (on data volumes exceeding MBs per second) is desirable.

· Infrastructure and Deployment Skills

o GitHub Actions, Kubernetes, Docker, Terraform, and Azure for deployment and infrastructure management on Linux (CentOS)

Why Join Us?

· Contribute to industry-leading technology solving real and significant business problems in the oil and gas sector.

· Be part of a large enterprise development group offering extensive opportunities for professional growth and learning.

· Engage in meaningful work directly impacting company efficiency and sustainability.

Tags: Python, Python Data Engineer, AWS, AWS, Amazon Web Services, API's, Terraform, Kafka, Kubernetes, Senior Data Engineer, Houston