Sr. Business Intelligence Engineer

Welcome to the intersection of energy and home services. At NRG, we’re driven by our passion to create a smarter, cleaner and more connected future. Vivint Smart Home, an NRG owned company, is a leading smart home company in the United States, dedicated to redefining the home experience with intelligent products and services. Join the Smart Home team to create smarter, safer and more sustainable homes. Job Functions Position requires in‑office presence in Seattle, WA on a hybrid schedule for Monday, Tuesday, Wednesday, and Thursday with a work‑from‑home day on Friday. The position will start remote and then will move into the hybrid schedule. Summary Vivint Smart Home is hiring a Senior Business Intelligence Engineer to join the central analytics team within our product organization. This role is responsible for building and maintaining the data infrastructure that powers how the product organization measures, understands, and improves our business. You will own the design, development, and reliability of the core data pipelines, models, and metrics layer that our dashboards, analyses, and product decisions depend on. This role sits at the center of the product, engineering, and data ecosystem. You will work closely with engineering teams to define instrumentation, transform raw and unstructured data into reliable, well‑modeled datasets, and ensure that data is trustworthy at scale. You will also partner with analysts, product managers, and business leaders to translate their reporting and analytical needs into scalable data structures. This is a role for someone who is comfortable working in ambiguity, can independently drive a data solution from problem definition through production, and takes ownership for the quality and reliability of their work. What You’ll Do You will own the design, development, and maintenance of the core data pipelines and warehouse models that power reporting and analytics across the product organization, ensuring data is reliable, well documented, and consistently used. You will partner with engineering to define and validate instrumentation and event tracking, ensuring raw data is captured accurately and lands reliably in our data systems. You will build and optimize data models that turn unstructured and disparate data into clean, reusable datasets that can support reporting and analysis at scale. You will own data quality end‑to‑end, including validation, monitoring, and alerting to catch pipeline failures or anomalies before they reach stakeholders. You will partner with business analysts, product managers, and business leaders to understand their reporting and analytical needs, translating those into scalable, well‑structured data models. You will build and maintain internal tools and automation, including the use of AI and scripting, to reduce manual reporting effort and improve how quickly the organization can get to trusted data. You will support self‑serve analytics by exposing clean, well‑documented datasets and a consistent metrics layer that non‑technical stakeholders can rely on. You will contribute to the evolution of our analytics platform, including our data warehouse, orchestration, and tooling, improving how data is built, scaled, and maintained over time. What We’re Looking For You have experience in a data engineering, analytics engineering, or business intelligence role where you were responsible for building and owning production data pipelines. You are fluent in SQL and Python and comfortable building and maintaining data pipelines. Experience with orchestration tools (such as Airflow) and transformation frameworks (such as dbt) is expected. You understand data modeling and warehousing best practices, and can design data structures that are reusable, well documented, and built to scale. You have experience partnering with engineering teams on instrumentation, schema design, and data capture, and can work effectively across technical systems. You are highly analytical and able to take an ambiguous data problem and turn it into a scalable, production‑ready solution. You are comfortable working across teams and can translate between technical and business audiences without losing clarity. You have a strong sense of ownership and are motivated to improve how quickly and reliably the organization can get to trusted data, including through the use of emerging tools and AI. Working at Vivint Learn about the Vivint Culture and why it’s a great place to grow your career. 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 Quarterly Innovation Weeks The base salary range for this position is: $150K to $180K. 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. 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/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant’s experience or skills. Vivint, an equal opportunity employer, does not consider any protected traits (e.g., race, creed, color, religion, gender, national origin, non‑job‑related disability, age, or any other protected trait) when hiring—under federal, state, and local laws. We are a drug‑free environment. We do not conduct pre‑employment drug screening; however, we do conduct random drug testing on site. #J-18808-Ljbffr Vivint