Jobs · Information Technology · Texas

Sr Data Engineer_ITDE1I

ENGIE North America Inc. · Houston, TX · 3 wk ago
Information Technology$102k–$170k/yrFull-time

About the role

What You Can Expect As the Senior Data Engineer, you will own product delivery and forward planning for Cloud Data Solutions’ data products. You will serve as the primary connection point between business stakeholders, the Data Office, and the Cloud Solutions engineering team. Each day, you will translate business needs into a prioritized roadmap and backlog while also contributing hands-on to data engineering, data modeling, and data integration work. Your work will help ensure cloud-based data solutions are reliable, high-quality, performant, and aligned to the needs of teams across Trading, Assets, Operations, and related business areas.

Responsibilities

  • Serve as the primary liaison between business stakeholders (Trading, Assets, Operations), the Data Office, and the Cloud Solutions delivery team
  • Own and maintain a prioritized product backlog and forward-looking roadmap for assigned data products, balancing competing demands across a growing base of data platform customers
  • Gather and refine requirements from business users and analysts; translate them into well-defined user stories and acceptance criteria
  • Communicate progress, risks, and trade-offs to stakeholders and leadership
  • Clearly articulate data dependencies, constraints, and solution options to non-technical audiences
  • Coordinate with the Data Office on governance, cataloging, and compliance requirements
  • Identify gaps in current data capabilities and recommend solutions that align with business strategy
  • Provide forward planning input and roadmap visibility to the IT Director and program managers
  • Monitor evolving business needs and proactively adjust priorities and plans
  • Build, test, and maintain cloud-based data pipelines for ingestion, transformation, and delivery across batch and streaming use cases
  • Develop and maintain data models, metadata, and documentation that support analytics, reporting, and downstream applications
  • Implement data quality checks, error handling, monitoring, and performance tuning for pipelines and data flows
  • Contribute to code reviews, design discussions, and Agile ceremonies
  • Follow best practices in data engineering, including version control, CI/CD pipelines, and automation where appropriate
  • Troubleshoot and resolve data pipeline and integration issues, ensuring accuracy and availability of critical business data
  • Assist in training business users and team members on data products and development processes

Qualifications

  • Bachelor’s degree in which you completed courses in Computer Science, Engineering, or a related field, or equivalent practical experience
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