Principal Data Engineer

Talentify; Irving (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Vistra Corporate Services Company is seeking a highly experienced Principal Data Engineer to architect and deliver scalable data solutions. You will provide technical leadership, drive data infrastructure reliability, and guide teams through complex data projects.

The role emphasizes mentorship, governance, and collaboration with Data Science, Analytics, and Product teams to meet strategic data needs across the organization.

Qualifications

• 9–11 years of experience in data engineering and building data pipelines.
• Strong proficiency with ETL frameworks, big data processing, SQL and NoSQL databases.
• Experience with cloud-based storage and processing on AWS/Azure/Google Cloud.

Responsibilities

• Lead design and development of scalable data pipelines for ingestion, processing, storage, and retrieval.
• Develop data models and schemas to support analytics and performance optimization.
• Leverage Hadoop, Spark, and Hive to process large data volumes for analytics and ML initiatives.
• Manage data infrastructure across cloud platforms, containers, and distributed computing environments.
• Collaborate with Data Science, Analytics, and Product teams to meet data needs.
• Mentor data engineers and drive best practices in data modeling and governance.

Skills

Data engineering

ETL frameworks

Big data processing

SQL

NoSQL databases

Cloud platforms

Tools

Hadoop

Spark

Hive

AWS

Azure

Google Cloud

Job description

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.

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#LI-ND1

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Job Family

Data Analytics

Company

Vistra Corporate Services Company

Locations

Irving, Texas

Texas

We 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.

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.