Senior Data Engineer

EnergySolutions
Summary
Join Energy Solutions, a growing company focused on market-based programs for energy and water savings, as a Senior Data Engineer. You will design, develop, and maintain data platforms supporting company-wide data needs. The ideal candidate is passionate, highly skilled in analytics tools and cloud technologies (AWS, Azure), proficient in SQL, NoSQL, and Python, and capable of processing large datasets. This role offers the opportunity to impact energy efficiency and greenhouse gas reductions. Energy Solutions provides a remote-friendly work environment throughout the United States, with offices in several major cities. The position requires a bachelor's degree in computer science or information technology and at least 8 years of relevant experience.
Requirements
- A bachelorβs degree in computer science or information technology
- A minimum of 8 years' of job related experience
- High proficiency in programming languages commonly used in ETL development, such as PLSQL, SQL, 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
- Build, automate, and manage near-real-time scalable data ingestion pipelines for master data management, deep-learning, and predictive analytics
- Build and maintain cloud native big data environments on AWS, that are highly secure, scalable, flexible, and highly performant using appropriate SQL, NoSQL and NewSQL technologies
- Lead data governance and data profiling efforts to ensure data quality and proper metadata documentation for data lineage
- Provide technical input into build/buy/partner decisions for all components of the data infrastructure
- Partner closely with Data Scientists, BI developers, and Product Managers to design and implement data models, database schemas, data structures, and processing logic to support various data science, analytics, machine learning, and BI initiatives
- Design and develop ETL (extract-transform-load) processes to validate and transform data, calculate metrics, and model features, populate data models etc., using Spark, Python, SQL, and other technologies in the AWS
- Lead data governance and data profiling efforts to ensure data quality and proper metadata documentation for data lineage
- Lead by example, demonstrating best practices for code development and optimization, unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response to ensure data availability, data quality, and usability
- 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
- Communicate progress across organizations and levels from individual contributor to executive. Identify and clarify the critical few issues that need action and drive appropriate decisions and actions. Communicate results clearly
Benefits
- Compensation is commensurate with experience with the pay band of $140,000 - $165,000/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)
- Remote-friendly work environment