✦ Luna Orbit — Data & Analytics

Principal Data Engineer

at Vistra

📍 Irving, Texas Hybrid Posted March 13, 2026
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Position Details

Type Not Specified
Experience senior
Exp. Years 9-11 years
Education Not specified
Category Data & Analytics

About this role

Senior Data Engineer responsible for architecting scalable data solutions, leading data pipeline development, and providing technical leadership in a cloud-based environment.

Key Responsibilities

  • Lead data pipeline design
  • Develop data models and schemas
  • Leverage big data frameworks
  • Manage data infrastructure
  • Collaborate with data science and analytics teams

Technical Overview

Environment involves big data technologies like Hadoop, Spark, Hive, and cloud platforms such as AWS, Azure, and Google Cloud, focusing on data processing, storage, and analytics.

Ideal Candidate

The ideal candidate is a senior data engineer with 9+ years of experience in designing and implementing scalable data solutions. They possess strong expertise in big data technologies, cloud platforms, and data modeling, with proven leadership skills.

Must-Have Skills

Designing and building data pipelinesData modelingBig data technologiesSQLNoSQLCloud-based data storageAWSAzureGoogle Cloud

Nice-to-Have Skills

Machine learningData analyticsData securityData governance

Tools & Platforms

HadoopSparkHiveAWSAzureGoogle Cloud

Required Skills

Data EngineeringETL frameworksBig Data processingSQLNoSQLData modelingData warehousingHadoopSparkHiveCloud platformsAWSAzureGoogle CloudData pipelinesData infrastructure

Hard Skills

Data EngineeringETL frameworksBig Data processingSQLNoSQLData modelingData warehousingHadoopSparkHiveCloud platformsAWSAzureGoogle CloudData pipelinesData infrastructure

Soft Skills

LeadershipTechnical expertiseInnovationProblem-solvingCommunicationInterpersonal skillsTeam collaborationProject management

Industry & Role

Industry Energy
Job Function Design and implement scalable data solutions for enterprise analytics

Keywords for Your Resume

Data EngineerData EngineeringETL frameworksBig DataSQLNoSQLData modelingData warehousingHadoopSparkHiveAWSAzureGoogle CloudData pipelinesData infrastructure

Deal Breakers

Less than 9 years of data engineering experience, Lack of experience with cloud platforms (AWS, Azure, Google Cloud), No experience with Hadoop, Spark, or Hive

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