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Vistra Energy - Principal Data Engineer

Irving , Texas

Hybrid

Full Time

$140k - $150k

Job Description Headquartered in Irving, Texas, this Fortune 500 company, specializing in integrated retail electricity and power generation services is looking to expand. Operating across 20 states and the District of Columbia, including six competitive power markets in the U.S., they prioritize innovation and customer satisfaction in its retail approach. Catering to a vast customer base of nearly 4.3 million residential, commercial, and industrial clients, offering a wide array of electricity and gas solutions. With over 50 renewable energy plans available, it stands as one of the largest providers of competitive residential electricity in the nation. Moreover, boasting a substantial capacity of around 37,000 megawatts, and leads as the largest competitive power generator in the U.S. Its power generation portfolio comprises various sources, including natural gas, nuclear, solar, and battery energy storage facilities. In search of a highly talented and seasoned Principal Data Engineer to become a valuable member of the Data Analytics team. As the Principal Data Engineer, your primary role will involve crafting, conceptualizing, and executing scalable and resilient data solutions to facilitate streamlined data processing, storage, and access. You will take charge of providing technical guidance, fostering innovation, and guaranteeing the dependability and consistency of our data framework. This role is at a senior level and demands outstanding technical proficiency, robust leadership qualities, and a demonstrated history of effectively executing intricate data engineering initiatives. The ideal candidate will lead the design and development of scalable and reliable data pipelines, including data ingestion, processing, storage, and retrieval, develop data models and schemas that support efficient data storage, retrieval, and analytics, employing optimization techniques to enhance query performance and scalability, and leverage big data technologies and frameworks (e.g., Hadoop, Spark, Hive) to process and analyze large volumes of data, enabling advanced analytics and machine learning initiatives. Additional responsibilities will include managing and optimizing data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments, working closely with other teams, including Data Science, Analytics, and Product, to understand their data needs and requirements, and developing and implementing best practices for data modeling, storage, and retrieval, while ensuring the security and privacy of our data and compliance with relevant regulations. If you have skills in data implementations, star schema design, and advanced ETL processing and data architectural skills this could be the role for you – apply now! This role local to Irving, TX with some work from home flexibility. No sponsorship or ability to work C2C available at this time. Required Skills & Experience
  • 9+ years of experience in data engineering, including experience in designing and building data pipelines
  • Strong proficiency in data engineering technologies, such as ETL frameworks, big data processing, and SQL and NoSQL databases.
  • Deep understanding of database systems, data modeling, and data warehousing.
  • Experience with cloud-based data storage and processing technologies, such as AWS, Azure, or Google Cloud.
  • Strong interpersonal and organizational skills
Desired Skills & Experience
  • Understanding of data privacy and data governance policies.
  • Strong problem-solving and analytical skills.
  • Ability to work collaboratively in a team environment.
  • Strong communication and interpersonal skills.
  • Ability to lead and manage projects.
  • Experience in leading a team of data engineers and managing complex projects.
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Excellent communication skills and ability to work collaboratively with cross-functional teams.
  • Experience with agile software development methodologies.
What You Will Be Doing Daily Responsibilities
  • 60% Data Integration/Data pipeline design and builds
  • 40% ETL processes
The Offer
  • $150,000 DOE
  • Additional performance-based bonuses
You will receive the following benefits:
  • Medical, Dental, and Vision insurance
  • Paid Time Off (PTO)
  • 401(k) + match
  • Work from home flexibility

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

Posted by: Kelly Ethridge

Specialization: Data Engineering