Principal Data Engineer

Irving, Texas

Open 6 months, first seen by us 192 days ago

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Lead design and development of scalable data pipelines for ingestion, processing and storage
Develop data models and schemas that support fast queries and analytics
Process large data volumes with big data tools such as Hadoop, Spark and Hive
Manage and optimize cloud, containerized and distributed data infrastructure
Mentor team members on technical and leadership skills

From the employer’s posting

Lead the design and development of scalable and reliable data pipelines

Develop data models and schemas that support efficient data storage, retrieval, and analytics

Leverage big data technologies and frameworks (e.g., Hadoop, Spark, Hive)

Manage and optimize data infrastructure, including cloud-based platforms, containerization technologies, and distributed computing environments.

Mentor team members to develop their technical and leadership skills.

Apply at Vistra

Posting record

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Open 6 monthsWe first saw this posting 192 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Apr 27, 2026192 days ago
Recorded sightings: 291
Last seen by us: Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 192

Up longer than most. Similar jobs usually come down between day 6 and day 54.

Well past Vistra’s usual: its jobs come down by about day 32.

From 11,035 similar postings that came down, and 16 of Vistra’s. Coming down is not always a hire.

Vistra is hiring

6 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring has slowed
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

SQL
AWS
Azure
Hadoop
Hive
NoSQL
Spark
GCP

Where the posting names them

- 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.

- 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

- 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.

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About Vistra

People: About 260 in 2025, down 42% from the year before.Annual report (SEC Form 10-K)
Company: Listed as VST.

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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 assistance@vistraenergy.com to make a request.

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