Data Engineer III

Summary

Join Energy Solutions, a growing company focused on market-based solutions for energy and environmental savings, as a Data Engineer III. You will design, develop, and maintain data and ETL platforms using cutting-edge AWS technologies. This role requires expertise in data engineering and a passion for impacting energy efficiency. Energy Solutions operates predominantly remotely with offices in six locations; in-office requirements vary by team. The company offers a competitive salary, a generous retirement package, and an excellent benefits package. We are an equal opportunity employer committed to diversity and inclusion.

Requirements

• A bachelor’s degree in computer science or information technology and 6 years of relevant experience, or a master’s degree in a related field
• High proficiency in programming languages commonly used in ETL development, such as PLSQL, SQL, and Python. Ability to write efficient SQL queries, SQL store procedures, develop scripts for data transformations, and utilize programming frameworks and libraries to create/enhance ETL mappings and workflows
• Expertise in utilizing AWS services, including but not limited to Amazon s3, glue, data catalog, Amazon redshift, redshift spectrum, and Amazon Athena. Ability to leverage these services 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. Knowledge of database design, optimization techniques, and advanced querying capabilities
• Experience in performance tuning and optimizing database operations
• Familiarity with data governance frameworks and data security best practices
• Passion for learning new technologies, staying up to date with industry trends, and exploring innovative approaches to ETL development

Responsibilities

• Architecting and Optimizing ETL Pipelines: Design, implement, and optimize scalable ETL processes using industry-leading tools and technologies. Ensure data integrity, consistency, and efficiency while handling complex transformations and large-scale data ingestion
• Enterprise Data Modeling & Database Architecture: Develop and refine enterprise-level data models and database architectures for optimal storage, retrieval, and analytics. Leverage best practices in normalization, denormalization, and dimensional modeling to support high-performance data ecosystems
• Advanced Performance Optimization & Scalability: Identify and resolve performance bottlenecks across ETL pipelines, database operations, and distributed systems. Implement advanced tuning strategies, indexing, partitioning, and caching mechanisms to enhance query efficiency and system throughput

Preferred Qualifications

Candidates from other disciplines that have 6 or more years of work experience using related technologies are also encouraged to apply

Benefits

• Compensation is commensurate within experience with the pay band of: $120k - $145k/Annually
• Compensation is commensurate with experience and includes a generous retirement package
• Energy Solutions provides an excellent benefits package including medical, dental and vision insurance, other pre-tax contribution plans and an Employee Stock Ownership Plan (ESOP)
• Predominantly remote workforce with offices in six different locations; in-office attendance requirements may vary by team