Senior Data Engineer, Solutions Architecture
Clearway EnergySan Diego, California
Full Time
Posted May 1, 2026
$110k - $145k
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Job Description
A Senior Data Engineer responsible for designing, building, and maintaining scalable data infrastructure and pipelines to support energy operations, analytics, and trading activities, utilizing advanced data stack tools and ensuring data quality, security, and collaboration across teams.
Key Responsibilities
- Design, deploy, and maintain scalable data infrastructure to support analytics and reporting
- Manage Snowflake instances, including performance tuning, security, and capacity planning
- Build and orchestrate complex ETL/ELT workflows using Dagster
- Develop and maintain dbt models for data transformation and analytics
- Implement data validation, testing, monitoring, and governance frameworks
- Lead CI/CD processes for data pipelines and analytics applications
- Collaborate with cross-functional teams to understand requirements and deliver data solutions
Requirements
- Minimum of 4 years of hands-on data engineering experience in production environments.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proficiency in Dagster for pipeline scheduling, dependency management, and workflow automation.
- Advanced-level Snowflake administration, including virtual warehouses, clustering, security, and cost optimization.
- Proficiency in dbt for data modeling, testing, documentation, and version control of analytical transformations.
- Strong Python and SQL skills for data processing and automation.
- At least 3 years of experience with continuous integration and continuous deployment practices and tools, with proficiency in GitLab CI/CD required.
- Experience with GitHub Actions is a plus.
- Advanced SQL skills, database design principles, and experience with multiple database platforms.
- Proficiency in AWS, Azure, or GCP data services, storage solutions such as S3, Azure Blob, or GCS, and infrastructure as code.
- Experience with APIs, various data connectors, and formats.
- Understanding of data security best practices, including access controls, encryption, and role-based access management.
- Practical experience integrating and leveraging large language models (e.g., OpenAI, Anthropic, or open-source models) within data workflows, with awareness of data privacy, prompt injection risks, and responsible AI usage in production environments.
- Strong analytical and troubleshooting skills with attention to detail.
- Ability to work effectively with both technical and business stakeholders.
- Work comfortably in a hybrid work environment, with 2-3 days in office, demonstrating autonomy, a strong work ethic, and a growth mindset.
- Ability to 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.
Benefits & Perks
Salary range of $110,000 to $145,000 USD
Hybrid work environment with 2-3 days in office
Comprehensive benefits including medical, dental, and vision insurance
HSAs with company contributions
Health FSAs and dependent daycare FSAs
Commuter benefits
Relocation assistance
401(k) plan with employer match
Life and accident insurances
Fertility programs
Adoption assistance
Generous parental leave
Tuition reimbursement
Benefits for employees in same-sex marriages, civil unions, and domestic partnerships
Paid time off (PTO)
Company-provided meals and events
Opportunities for professional growth and development
Ready to Apply?
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