Principal Data Engineer
At a glance
Senior Data Engineering role at Luminant. Irving · full-time · no salary stated · we estimate $139,875–$181,583.
Luminant has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build data pipelines that move information through ingestion, processing, storage and retrieval
- Shape data models and schemas, tuning them for efficient queries, analytics and growth
- Run cloud, containerized and distributed data systems, using big-data tools to support analytics and machine learning
- Set data handling practices, protect privacy, document systems and assess tools for better performance
- Lead engineering projects and ongoing improvements while coaching data engineers
What you bring
- You have nine to eleven years in data engineering, including building and designing pipelines
- You bring strong skills in ETL, big-data processing, SQL and NoSQL databases
- You understand database systems, data modeling and warehousing, plus cloud data services such as AWS or Azure
- You have led data engineers and complex projects, and can work with agile methods
Who this fits
This senior principal role suits an experienced data engineer who can lead technical work, projects and team development. The position is based in Irving, Texas.
From the employer
If you have what it takes to become part of the Vistra family and would like to start a promising career with a global leader, take a look at the exciting employment opportunities that are currently available and apply online.
Job Summary
We are seeking a highly skilled and experienced Principal Data Engineer to join our team. As a Principal Data Engineer, you will be responsible for architecting, designing, and implementing scalable and robust data solutions that enable efficient data processing, storage, and retrieval. You will provide technical leadership, drive innovation, and ensure the integrity and reliability of our data infrastructure. This is a senior-level position that requires exceptional technical expertise, strong leadership capabilities, and a proven track record of successfully delivering complex data engineering projects.Job Description
Key Accountabilities
- 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.
- 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.
- Manage and optimize data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments.
- Work closely with other teams, including Data Science, Analytics, and Product, to understand their data needs and requirements.
- Develop and implement best practices for data modeling, storage, and retrieval.
- Ensure the security and privacy of our data and compliance with relevant regulations.
- Develop and maintain documentation for all data processes and systems.
- Evaluate new technologies and tools for data processing, storage, and retrieval and recommend solutions to improve the efficiency and scalability of our data infrastructure.
- Propose and lead continuous improvement opportunities.
- Mentor team members to develop their technical and leadership skills.
Education, Experience, & Skill Requirements
- 9-11 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.
Key Metrics
- 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.
#Dice
Job Family
Data AnalyticsCompany
Vistra Corporate Services CompanyLocations
Irving, TexasTexasWe are a company of people committed to: Exceeding Customer Expectations, Great People, Teamwork, Competitive Spirit and Effective Communication. If this describes you, then apply today!
If you currently work for Vistra or its subsidiaries, please apply via the internal career site.
It is the policy of the Company to comply with all employment laws and to afford equal employment opportunity to individuals in all aspects of employment, including in selection for job opportunities, without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, national origin, age, disability, genetic information, military service, protected veteran status, or any other consideration protected by federal, state or local laws.
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