
Sap Trabajos a distancia y desde casa en irving ∙ Página 1
45 Trabajos a distancia y desde casa en línea



Accounting Supervisor - Internal Controls
Celanese International Corporation · Irving, Estados Unidos De América · Onsite

Executive Assistant & Office Coordinator
Neenah Foundry · Irving, Estados Unidos De América · Onsite

Salesforce Commerce Cloud - B2C Senior Developer
Capgemini · Irving, Estados Unidos De América · Onsite

PIT II - Forklift Operator (Irving, TX, US, 75061)
Brakebush · Irving, Estados Unidos De América · Onsite


PIT II - Forklift Operator (Irving, TX, US, 75061)
Home - Brakebush · Irving, Estados Unidos De América · Onsite

Global Tax Provision Manager
Celanese International Corporation · Irving, Estados Unidos De América · Onsite





Hybrid Capgemini Invent - Blue Yonder/JDA WMS Enterprise Architect WMS
Capgemini Invent · Irving, Estados Unidos De América · Hybrid

Hybrid PIT II - Forklift Operator (Irving, TX, US, 75061)
Brakebush · Irving, Estados Unidos De América · Hybrid

Hybrid Senior Director, Revenue Cycle Management (RCM) Finance
McKesson · Irving, Estados Unidos De América · Hybrid
Hybrid Specialist, Sr. Procurement (Irving, TX, US)
AECON - Aecon Group Inc. · Irving, Estados Unidos De América · Hybrid

Hybrid Senior Benefits Specialist
Celanese International Corporation · Irving, Estados Unidos De América · Hybrid

Hybrid 2025 Accounting Co-Op - Irving TX
Northrop Grumman · Irving, Estados Unidos De América · Hybrid

Hybrid Project Manager, Manufacturing (Irving, TX, US)
Körber · Irving, Estados Unidos De América · Hybrid
Senior Data Product Engineer
Vst · Irving, Estados Unidos De América · Hybrid
- Senior
- Oficina en Irving
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 marketplace and data product 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., Snowflake, Data Fabric, SAP Datasphere) 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 programming skills in one or more languages and tools , such as Python, DBT, Airflow, GIT
• Strong proficiency in data engineering technologies, such as ETL/ELT frameworks, CI/CD,big data processing, and SQL/Snowflake and NoSQL databases.
• Deep understanding of database systems, data modeling, and data warehousing.
. Strong proficiency in building analytical dashboards using PowerBI/Tableau.
• 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.
Requires strong Techno-functional data and analytics experience in enabling Business use cases .
Hands on experience as lead in implementing data pipelines leveraging DevOps/DataOps principles.
Proficient in Python, Airflow,DBT, Snowflake, Power BI
Familiarity with SAP Datasphere is a plus.
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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.