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TC Energy

Operates natural gas pipelines, generates electricity

Senior Business Solutions Developer

Full-Stack EngineeringPosted on Nov 9
Full-timeHouston, TX, USANo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Data Engineering, Business Information Systems, or a related discipline, or an equivalent combination of education and experience.
  • At least 6 years of experience building and supporting production applications, including at least 3 years working directly with business leaders to define, prioritize, and deliver solutions.
  • Extensive experience building or deploying solutions on AWS cloud services.
  • Proficiency in multiple programming or query languages, such as Python, SQL, DAX, or JavaScript.
  • Experience with prompt engineering for generative AI solutions, including designing, testing, and refining prompts to support application functionality and business use cases.
  • Experience developing front-end applications using Angular.

Responsibilities

  • Act as the Data & Digital Solutions team's primary point of contact for Houston-based business leaders, building trusted relationships at the manager, director, and vice president level.
  • Intake new requests by facilitating discovery, clarifying ambiguous problems, constructively challenging assumptions, and framing opportunities in terms of business value.
  • Capture and clarify new requests from Houston leaders and bring them into the team's intake and planning process.
  • Keep stakeholders informed on progress, risks, trade-offs, and decisions, in writing and in person, for non-technical audiences.
  • Work with stakeholders and teammates to design solutions for business problems, from data models and integration approaches through to the user experience.
  • Produce practical designs, including architecture diagrams, data flows, and component and platform technology choices across AWS and Fabric, for the team to build from.
  • Evaluate technical options and recommend solutions based on business value, scalability, security, maintainability, cost, and enterprise standards.
  • Design for long-term use by favoring reusable patterns, planning for data quality and security, and accounting for sustainment.
  • Take part in design reviews with the team, giving and receiving constructive feedback and working within architecture standards.
  • Build and maintain cloud-based solutions on AWS, using services such as Lambda, S3, Glue, and other components relevant to the data and application stack.
  • Design, develop, test, and deploy business applications using Microsoft Fabric and AWS to solve natural gas pipeline business problems.
  • Participate in the full solution lifecycle, including ideation, architecture, development, testing, documentation, deployment, and ongoing support.
  • Write clean, maintainable code in languages such as Python, JavaScript, TypeScript, and/or SQL to support application logic, data transformation, and analytics.
  • Deliver business analytics and data visualization solutions that translate complex operational data into actionable insights for stakeholders across the Natural Gas business.
  • Analyze business processes to identify inefficiencies and opportunities for improvement through data-driven solutions.
  • Apply and improve DevOps practices to enable continuous integration, testing, and deployment of applications.
  • Stay current with emerging technologies, platform capabilities, and industry trends to improve solution quality and impact.
  • Contribute to the team's broader portfolio of AI, automation, and data engineering work, and keep current on platform capabilities.
  • Work independently on complex problems and apply the team's engineering practices, including source control, CI/CD, automated testing, code review, and monitoring.

Desired Qualifications

  • Knowledge of the midstream natural gas pipeline industry, including pipeline operations, real-time systems, or related industrial data sources.
  • Experience with Microsoft Fabric and AWS for data engineering, or Lakehouse architecture.
  • Experience in data engineering, including data pipeline development, ETL or ELT processes, and integration from multiple sources.
  • Familiarity with AI and machine learning workflows, generative AI, or agentic frameworks such as Bedrock or AgentCore.
  • Knowledge of AI Development Lifecycle (AI-DLC) frameworks and delivery best practices for scalable AI solutions using tools like Kiro or Claude Code.
  • AWS or Microsoft certifications, such as AWS Solutions Architect, PL-100, PL-200, PL-400, or Fabric Analytics Engineer.
  • Understanding of data governance, data quality, and enterprise data management principles.

About the Company

TC Energy

Operates natural gas pipelines, generates electricity

What TC Energy does: It operates energy infrastructure across North America, focusing on natural gas transportation and storage through an extensive pipeline network in Canada, the United States, and Mexico, and also generating electricity from assets such as nuclear and natural gas-fired plants. How its product works: Its pipelines move natural gas from supply basins to markets, with storage capabilities to ensure reliability; revenue mostly comes from long-term, regulated contracts and fee-based arrangements, which give predictable cash flow. How it is different: It combines large-scale gas transportation with power generation under a regulated, fee-based business model across three countries, offering a stable, diversified energy infrastructure platform. What its goal is: to reliably deliver energy to homes and businesses by efficiently moving gas and producing power under long-term contracts, supporting North American energy markets.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Calgary, Canada
Founded
1951

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