Senior Data Engineer, Solutions Architecture

Clearway Energy Group; Scottsdale (AZ); Hybrid; USD 110,000 - 145,000; Full time

Job summary

Clearway Energy Group is seeking a Senior Data Engineer in Scottsdale, Arizona, to design and maintain data infrastructure for critical energy operations. This hybrid role offers a chance to impact clean energy while utilizing cutting-edge tools like Snowflake and Dagster. Candidates should have at least 4 years of data engineering experience, a Bachelor's degree in a relevant field, and proficiency in SQL, Python, and cloud services. A salary range of $110,000 - $145,000 is offered with equal opportunity considerations.

Qualifications

• 4+ years of hands-on data engineering experience in production environments.
• Proficiency in Dagster for pipeline scheduling and workflow automation.
• Advanced-level Snowflake administration required.

Responsibilities

• Design, build, and maintain data infrastructure for energy operations.
• Develop robust data pipelines for high-volume energy market data.
• Partner with Analytics Engineers and Data Scientists to deliver solutions.

Skills

Data Orchestration using Dagster

Advanced Snowflake administration

Data Transformation using dbt

Strong Python skills

Strong SQL skills

CI/CD with GitLab CI/CD

Cloud Platforms proficiency

Data Security best practices

Experience with APIs

Communication skills

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

Dagster

Snowflake

dbt

GitLab CI/CD

AWS/Azure/GCP

Job description

Senior Data Engineer, Solutions Architecture

Scottsdale, Arizona, United States

What The Role Is

We are seeking a talented Senior Data Engineer to design, build, and maintain our data infrastructure supporting mission‑critical energy operations. You'll work at the intersection of renewable energy and data, developing pipelines that process everything from real‑time asset performance data to complex trading and risk analytics. This hybrid role offers the opportunity to make a direct impact on clean energy operations while working with a cutting‑edge data stack including Snowflake, Dagster, dbt, Modal, and GitLab.

Analytics Infrastructure & Data Warehouse Management

• Design, deploy, and maintain scalable data infrastructure to support enterprise analytics and reporting needs
• Manage Snowflake instances, including performance tuning, security configuration, and capacity planning for growing data volumes
• Optimize query performance and resource utilization to control costs and improve processing speed
• Build and orchestrate complex ETL/ELT workflows using Dagster to ensure reliable, automated data processing for asset management and energy trading
• Develop robust data pipelines that handle high‑volume, time‑sensitive energy market data and asset generation and performance metrics
• Implement workflow automation and dependency management for critical business operations

Data Transformation & Analytics Support

• Develop and maintain dbt models to transform raw data into business‑ready analytical datasets and dimensional models
• Create efficient SQL‑based transformations for complex energy market calculations and asset performance metrics
• Support advanced analytics initiatives through proper data preparation and feature engineering

Data Quality & Governance

• Implement comprehensive data validation, testing, and monitoring frameworks to ensure accuracy and consistency across all energy and financial data assets
• Establish data lineage tracking and privacy controls to meet regulatory compliance requirements in the energy sector
• Develop alerting and monitoring systems for data pipelines, including error handling, SLA monitoring, and incident response

CI/CD & DevOps

• Lead continuous integration and deployment initiatives for Dagster and dbt pipelines, and Streamlit/Gradio application deployments to Linux servers
• Implement automated testing and deployment automation for data pipelines and analytics applications
• Manage version control and infrastructure as code practices

Cross‑functional Collaboration

• Partner with Analytics Engineers, Data Scientists, and business stakeholders to understand requirements and deliver solutions
• Work closely with asset management and trading groups to ensure real‑time data availability for market operations and risk calculations
• Collaborate with credit risk teams to develop data models supporting financial analysis and regulatory reporting
• Translate business requirements into technical solutions and communicate data insights to stakeholders

Documentation & Security

• Create and maintain technical documentation, data dictionaries, and onboarding materials for data assets
• Implement role‑based access controls, data encryption, and security best practices across the data stack
• Monitor and optimize cloud infrastructure costs, implement resource allocation strategies, and provide cost forecasting

What You’ll Bring

• Experience: 4+ years of hands‑on data engineering experience in production environments
• Education: Bachelor's degree in Computer Science, Engineering, or a related field
• Data Orchestration: Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation; Airflow experience a plus
• Cloud Data Warehousing: Advanced‑level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization
• Data Transformation: Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations
• Programming: Strong Python and SQL skills for data processing and automation
• CI/CD: 3+ years of experience with continuous integration and continuous deployment practices and tools; proficiency in GitLab CI/CD required (GitHub Actions experience a plus)
• Database Technologies: Advanced SQL skills, database design principles, and experience with multiple database platforms
• Cloud Platforms: Proficiency in AWS/Azure/GCP data services, storage solutions (S3, Azure Blob, GCS), and infrastructure as code
• Data Integration: Experience with APIs, various data connectors, and formats
• Data Security: Understanding of data security best practices, access controls, encryption, and role‑based access management
• AI & LLM Proficiency: Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open‑source models) within data workflows; ability to apply LLMs efficiently and securely, with awareness of data privacy boundaries, prompt injection risks, and responsible AI usage in production environments
• Problem‑Solving: Strong analytical and troubleshooting skills with attention to detail
• Communication: Ability to work effectively with both technical and business stakeholders
• Work Style: Comfortable with a hybrid work environment (2‑3 days in office); highly autonomous and self‑directed with a strong work ethic and growth mindset; exceptional attention to detail; able to take ownership of projects end‑to‑end with minimal oversight

What Would Be Nice

• Experience in the energy, utilities, or financial services industries
• Knowledge of energy trading concepts, market data, or asset management
• Familiarity with data governance frameworks and regulatory compliance (SOX, GDPR, CCPA)
• Experience with infrastructure as code (Terraform, CloudFormation)

Clearway will not sponsor non‑immigrant visas for this position (H‑1B, TN, E‑3, etc.).

#LI‑Hybrid

Salary Range Across all U.S. Locations

$110,000 - $145,000 USD

Equal Opportunity Employer Statement

Clearway Energy is an equal opportunity employer that values a broad diversity of talent, knowledge, experience & expertise. We intentionally foster a culture of inclusion that empowers our employees to deliver superior performance to the communities we serve. We encourage minorities, women, individuals with disabilities & protected veterans to join the team. Clearway is a proud promoter of employment opportunities for our Military & Veterans.

Notice to Applicants: Clearway Energy is strongly committed to a philosophy of equal opportunity and fully complies with equal employment laws, ordinances, and regulations for all applicants and employees. We will make reasonable accommodations to enable individuals with disabilities to apply and compete for employment opportunities for which they are qualified. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e‑mail to [e-mail] and let us know the nature of your request and your contact information.