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# Senior Analytics Engineer

- **Company:** NRG BLUEWATER WIND
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $131,400.0 - $157,300.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Data Analysis, BigQuery, Code Review, Information Systems, Continuous Integration, Data Architecture, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, R (Programming Language), Python (Programming Language), SQL Databases, SQL Server Integration Services, Scripting, Snowflake, Git, Information Technology
- **Published:** October 17, 2026
- **Apply:** https://careers.nrgenergy.com/talentcommunity/apply/1441065900/?locale=en_US

## About the Role

* Hard minimum of 3 years of data modeling and data warehousing development experience (dbt, SSIS, Matillion, or similar).
 * Expert in SQL and the principles of cloud warehouse design.
 * 2+ years of professional experience specifically with Snowflake, Redshift, or Data Factory, or BigQuery. Snowflake preferred.
 * 2+ years of experience with Git, code reviews, and CI/CD environments.
 * Ability to communicate effectively with business leaders and engineers to focus on the highest impact opportunities. You exhibit great judgment and sharp business instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs.

Required Education:

 * BA/BS or higher in Computer Science, Information Systems, Math, other technical field, or relevant work experience.

Nice-to-Have Experience:

 * Experience with SSIS.
 * Knowledgeable in scripting languages (python, .net, R, etc).

## Description

As a Sr. Analytics Engineer on our Analytics Engineering and Data Warehousing team, you will be responsible for developing the core Services that provides data to the entire enterprise. You will be responsible for building the data models that form the basis of our most important operational and strategic data-driven decisions.

Working closely with our finance teams, you will build and help maintain a data warehouse platform that provides timely, accurate, and reliable data that determines performance KPIs and commissions for thousands of employees., * Build relationships with data analytic teams and business leaders to understand their goals, initiatives, and the data solutions they need.

 * Help design, build, and maintain an enterprise data warehouse platform with its associated data models and data transformation pipelines.
 * Implement best practices and innovative solutions to provide timely, accurate, & reliable data.
 * Help in the implementation of a high-performing data warehouse platform (Snowflake) servicing thousands of users and a broad set of use cases.
 * Constantly evaluate and optimize deployment of data architecture to achieve greater efficiency and reliability.