Senior Analytics Engineer

Welcome to the intersection of energy and home services. At NRG, we’re all about propelling the next generation of leaders forward. We are driven by our passion to create a smarter, cleaner and more connected future. We deliver innovative solutions that make our customers’ lives easier—helping them power, protect, and intelligently manage their homes and businesses. To do this, we need creative and talented people to join our company.

We offer a dynamic work environment and a unified and inclusive culture. NRG fosters a strong sense of belonging that leads to better collaboration and business performance. Our company programs are designed to help employees develop the skills they need for success now and in the future. In everything we do, we aim to champion our employees and bring value to our customers, investors and society.

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Role Summary:

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.

Primary Responsibilities:

• 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.

Required Qualifications:

• 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).

Here are some highlighted perks you should ask us about:

• Free daily lunch and drinks on site
• Paid holidays and flexible paid time away
• Employee/Friends/Family Discounts
• Onsite health clinic, gym, gaming tables
• Medical/dental/vision/life coverage & 24/7 Medical Hotline
• 401(k) + Employer Match
• Employee Resource Groups

Working Conditions:

This job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Protected Veteran Status/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

EEO is the Law Poster (The poster can be found at

Official description on file with Talent.

We support the use of AI tools to help you prepare for your interview (e.g., practicing responses, researching the role, or refining your resume). However, during interviews and assessments, we expect responses to reflect your own thinking, experience, and communication. Use of AI to generate or read answers in real time, complete assessments, or misrepresent your qualifications is not permitted and may impact your candidacy.

The base salary range for this position is: $131,400 - $157,300* *The base salary range above represents the low and high end of the salary range for this position. Actual salaries will vary based on several factors including but not limited to location, experience, and performance. The range listed is just one component of the total compensation package for employees. Other rewards may include annual bonus, short- and long-term incentives, and program-specific awards. In addition the position may be eligible to participate in the benefits program which include, but are not limited to, medical, vision, dental, 401K, and flexible spending accounts.