Overview
On Site
USD 170,000.00 - 180,000.00 per year
Full Time
Skills
Innovation
Business Analytics
Data Science
Master Data Management
Analytics
Data Quality
Cloud Computing
Big Data
Computer Science
Information Systems
Data Engineering
Data Architecture
Warehouse
Data Warehouse
Modeling
ELT
Extract
Transform
Load
Privacy
Snow Flake Schema
Business Intelligence
Reporting
Tableau
Microsoft Power BI
Communication
Management
Job Details
We're on a mission to make a positive impact - starting with our people.
We believe that when individuals feel valued, supported, and empowered, they produce their best work. That's why we prioritize a workplace experience rooted in purpose, growth, and balance. Our employee-first culture has led to recognition across the industry, including awards for innovation, growth, and workplace excellence.
Location: Irving, TX (Hybrid) Position Overview:
A dynamic and forward-thinking organization is looking for a Lead Data Engineer to join its Business Analytics team. This role is ideal for someone with strong hands-on experience in cloud data warehousing who is passionate about building data platforms that enable business intelligence, analytics, and data science at scale. Key Responsibilities:
We believe that when individuals feel valued, supported, and empowered, they produce their best work. That's why we prioritize a workplace experience rooted in purpose, growth, and balance. Our employee-first culture has led to recognition across the industry, including awards for innovation, growth, and workplace excellence.
Location: Irving, TX (Hybrid) Position Overview:
A dynamic and forward-thinking organization is looking for a Lead Data Engineer to join its Business Analytics team. This role is ideal for someone with strong hands-on experience in cloud data warehousing who is passionate about building data platforms that enable business intelligence, analytics, and data science at scale. Key Responsibilities:
- Develop a deep understanding of the organization's data ecosystem, including sources, tools, master data, and analytics assets
- Design, deploy, and manage a modern cloud-based data warehouse infrastructure
- Monitor and optimize data warehouse performance through maintenance and configuration tuning
- Design data architecture and modeling solutions, and develop scalable ETL/ELT pipelines
- Build flexible and scalable data models to support a wide range of business needs
- Define and enforce data quality standards, governance policies, and technical best practices
- Oversee the full lifecycle of cloud data warehouse and big data initiatives
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field
- 8+ years of professional experience in data architecture, warehousing, or data platform development
- Strong track record in delivering scalable and enterprise-grade data solutions
- Expertise in building conceptual, logical, and physical data models
- In-depth knowledge of data warehousing concepts, modern modeling practices, and ELT/ETL strategies
- Experience with tools like dbt and practices related to data privacy, quality, and governance
- Proven ability to lead and manage data initiatives across complex environments
- Proficiency with Snowflake
- Familiarity with BI/reporting tools such as Tableau, Power BI, or similar platforms
- Excellent technical and communication skills with the ability to manage multiple priorities across teams
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.