Senior Data Engineer with AI/ML and MLOps
Hybrid in Dallas, TX, US • Posted 4 hours ago • Updated 4 hours ago

TekDallas
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Job Details
Skills
- AI/ML
- MLOps
- SnowSQL
- Python
Summary
Position: Senior Data Engineer
Location: Dallas, TX
Hybrid Onsite: Once a month
Duration: 6 Month Contract To Hire
Must Haves:
- 10+ years of experience in data engineering with a proven track record in large-scale enterprise environments.
- Deep expertise in Snowflake and cloud-native platforms - AWS, Azure, or Google Cloud Platform - ideally Google Cloud Platform
- Strong hands-on skills with SnowSQL, Python, and dbt for data pipeline development and transformation.
- Experience architecting and supporting AI/ML-ready ecosystems.
- Familiarity with Medallion Architecture or similar layered data approaches.
- Demonstrated ability to lead initiatives, collaborate across teams, and mentor engineering staff.
Nice to Have:
- Exposure to data visualization, MLOps, or data science workflows.
- Experience in Consumer Packaged Goods organization.
Key Responsibilities:
- Design, build, and optimize scalable data pipelines and workflows across cloud-native environments.
- Implement and maintain data warehousing solutions using Snowflake and related modern platforms.
- Develop and manage transformation workflows leveraging SnowSQL, Python, and dbt.
- Architect and prepare AI/ML-ready data ecosystems to support data science and advanced analytics initiatives.
- Apply the Medallion Architecture (Bronze/Silver/Gold) framework to ensure data quality, lineage, and usability.
Summary:
- We are seeking a highly experienced Senior Data Engineer (10+ years) to join a growing Data & Analytics team.
- The ideal candidate will bring deep expertise in modern data platforms and pipeline engineering, with a strong ability to prepare data ecosystems that enable advanced analytics and AI/ML use cases.
- This role requires both technical leadership and the ability to collaborate with cross-functional stakeholders.
- Core Requirement: Heavy hands-on Snowflake experience
- Must have strong Data Warehouse background (traditional DW, not Data Science or AI/ML Engineering)
- Experience with both Data Warehouses and Data Lakes
- Strong understanding of architecture concepts, especially Medallion Architecture (Bronze/Silver/Gold layers)
- Looking for someone technically strong but also able to communicate well in meetings and understand KDP’s business context
- Prefer candidates who have worked across multiple organizations and with different types of architectures
- Deep expertise in data warehousing and modern data platforms (Snowflake, cloud-native solutions).
- Strong skills in snowSQL, Python, and dbt for building scalable data pipelines and transformation workflows.
- Experience preparing AI/ML-ready data ecosystems and supporting advanced analytics.
- Dice Id: 91162571
- Position Id: 8864837
- Posted 4 hours ago
Company Info
About TekDallas
TekDallas offers outsourced product development, managed services solutions and business process management to organizations seeking higher operational effectiveness, greater flexibility, and cost savings.
We help create a virtual extension of our clients’ enterprise with an operational framework which is simple, flexible and resilient.
TekDallas enables its clients to extend current capabilities and build value-added services by providing global access to resources and diverse skill sets, including best practices in multiple processes and technology domains. Our services are designed to aid businesses improve their operational efficiencies, performance and reduce costs.


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