Principal Data Engineer

TXU Retail Services Company; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

TXU Retail Services Company is looking for a highly skilled Principal Data Engineer in Irving, Texas. This role involves architecting and implementing robust data solutions, managing scalable data infrastructures, and mentoring team members. The ideal candidate will have 9-11 years of data engineering experience, strong proficiency in data technologies, and proven leadership in complex projects.

As a key player in the team, you will drive innovation and ensure data integrity. Join us to provide technical leadership and to create impactful data solutions.

Qualifications

• Experience leading a team of data engineers and managing projects.
• Ability to design and build data pipelines.
• Deep understanding of database systems and data warehousing.

Responsibilities

• Lead the design and development of scalable and reliable data pipelines.
• Manage and optimize data infrastructure on cloud platforms.
• Work closely with teams to understand their data needs.

Skills

Data engineering technologies

ETL frameworks

Big data processing

SQL and NoSQL databases

Cloud technologies (AWS, Azure, Google Cloud)

Data privacy and governance

Problem-solving

Communication skills

Agile methodology

Education

9-11 years of experience in data engineering

Job description

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.

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 design 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.
• 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.

Locations

Irving, Texas

EEO Statement

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. If you are an individual with a disability and need assistance submitting an application or would like to request an accommodation, please email us at [e-mail] to make a request.