Senior Data Engineer Hybrid Boston, MA - US
Energy SolutionsBoston, Massachusetts
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, cloud-native data platforms and pipelines 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, data profiling, and 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 related technologies.
- Implement best practices for code development, testing, performance optimization, monitoring, and incident response to ensure data availability and usability.
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, SQL 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 cloud-native big data environments on AWS that are highly secure, scalable, flexible, and highly performant using appropriate SQL, NoSQL, and NewSQL technologies.
- Experience leading data governance and data profiling efforts to ensure data quality and proper metadata documentation for data lineage.
- Ability to provide technical input into build buy partner decisions for all components of the data infrastructure.
- Experience partnering with Data Scientists, BI developers, and Product Managers to design and implement data models, database schemas, data structures, and processing logic to support data science, analytics, machine learning, and BI initiatives.
- Experience 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 AWS.
- Demonstrated ability to lead by example, demonstrating best practices for code development, optimization, unit testing, CI/CD, performance testing, capacity planning, documentation, monitoring, alerting, and incident response to ensure data availability, data quality, and usability.
- 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.
- Excellent communication skills to clearly communicate progress, issues, and results across organizations and levels, from individual contributors to executives.
Benefits & Perks
Salary range of $140,000 - $165,000 annually, with a target compensation of $156,750 based on experience and qualifications
Hybrid work opportunity with flexible work arrangements
Generous retirement package
Medical, dental, and vision insurance
Pre-tax contribution plans
Employee Stock Ownership Plan (ESOP)
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