Senior Data Engineer, Solutions Architecture

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

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Verification

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Salary

$110K-$145K From the posting source

401(k) match

Not verified

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

14% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source

Seniority

Senior From the posting source

Work mode

Hybrid From the posting source

In-office days

2 days From the posting source

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source

Application

Cover letter

Not verified

Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Data Engineer, Solutions Architecture San Diego, California, 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. What You'll Be Doing 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 Data Pipeline Development & Orchestration - 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 &

Read the full description at job-boards.greenhouse.io. FewerJobs shows a preview and links to the original posting.