Senior Data Engineer Hybrid Orange, CA - US
Energy SolutionsOrange, California
Full Time
Posted January 14, 2026
$140k - $165k
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Job Description
A Senior Data Engineer role focused on designing, developing, and maintaining scalable data platforms and pipelines using cloud technologies like AWS, to support energy efficiency and sustainability initiatives for utility and government clients.
Key Responsibilities
- Design, develop, and maintain scalable data ingestion pipelines and cloud-native big data environments on AWS.
- Lead data governance and data profiling efforts to ensure data quality and proper metadata documentation.
- Collaborate with Data Scientists, BI developers, and Product Managers to design data models, schemas, and processing logic.
- Develop and optimize ETL processes for data validation, transformation, and feature modeling using Spark, Python, SQL, and AWS technologies.
- Implement best practices for code development, testing, performance tuning, capacity planning, and incident response to ensure data availability and quality.
Requirements
- A bachelor’s degree in computer science or information technology.
- Minimum of 8 years of relevant experience in data engineering or related fields.
- High proficiency in programming languages commonly used in ETL development, such as PLSQL, SQL, and Python.
- Ability to write efficient SQL queries, stored procedures, develop scripts for data transformations, and utilize programming frameworks and libraries to create and enhance ETL mappings and workflows.
- Expertise in utilizing AWS services, including but not limited to Amazon S3, AWS Glue, AWS Data Catalog, Amazon Redshift, Redshift Spectrum, and Amazon Athena, to build scalable, reliable, and performant data pipelines and analytics solutions.
- Proficiency in working with relational databases such as Postgres, Oracle, MySQL, or SQL Server, including knowledge of database design, optimization techniques, and advanced querying capabilities.
- Experience in performance tuning and optimizing database operations.
- Ability to build, automate, and manage near-real-time scalable data ingestion pipelines for master data management, deep-learning, and predictive analytics.
- Experience in designing and developing ETL processes to validate and transform data, calculate metrics, model features, and populate data models using Spark, Python, SQL, and other technologies in an AWS environment.
- Ability to lead data governance and data profiling efforts to ensure data quality and proper metadata documentation for data lineage.
- Ability to define SLAs for data availability and correctness, automate data availability and quality monitoring, and respond to alerts when data delivery SLAs are not being met.
- Demonstrated ability to lead by example in code development and optimization, including unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response.
- Excellent communication skills to clearly communicate progress, issues, and results across organizational levels from individual contributors to executives.
- Knowledge of data governance frameworks and data security best practices.
Benefits & Perks
Salary range of $140,000 to $165,000 annually, with a target compensation of $156,750 based on experience and qualifications
Hybrid work opportunity with flexible remote work and in-office attendance within 40 miles of office locations
Generous retirement package
Medical, dental, and vision insurance
Pre-tax contribution plans
Employee Stock Ownership Plan (ESOP)
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