FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Tech Stack
Tools & technologiesAWSAzureCloudPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines supporting batch, real-time streaming, and event-driven data movement from on-premises and cloud sources
- Serve as a core developer for the Snowflake data platform and support platform performance, data modeling, and storage structures
- Architect and build transformation pipelines delivering high-quality data inputs to Snowflake and dbt AI features
- Design and maintain semantic layers and metadata models supporting Self-Service 2.0 natural-language user interfaces
- Establish reference architectures, reusable templates, and CI/CD best practices for decentralized line-of-business data products
- Provide direct management and career mentorship to one data engineer, with potential for team growth
- Guide decentralized data analysts in maturing their engineering practices
- Drive adoption of dbt for data transformation
- Evaluate integration of AWS and Azure cloud data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, to optimize data flow
- Perform other duties as assigned
- Support the organization’s quality programs
- Travel as required
Requirements
What you’ll need- Bachelor’s degree in computer science, information systems, data engineering, or a related field from an accredited college or university preferred
- Equivalent combination of education, professional certifications, and relevant work experience will be considered
- Five (5)+ years of dedicated data engineering experience, with a proven record of building production-grade data pipelines, required
- Advanced hands-on experience with Snowflake architecture, performance tuning, and data sharing required
- Experience moving data across hybrid environments, including on-premises to cloud, using batch, streaming, and event-driven patterns required
- Experience building or maintaining semantic layers and structuring data for downstream AI, large language model, or natural-language search capabilities preferred
- Advanced knowledge of Snowflake architecture, performance tuning, data modeling, storage structures, and secure data sharing
- Strong knowledge of scalable batch, real-time streaming, and event-driven data pipeline architecture
- Experience with semantic layers, including dbt Semantic Layer and Snowflake Cortex or semantic definitions
- Strong Python skills, particularly in cloud environments and Azure Functions used for data workloads
- Strong SQL capabilities
- Experience with dbt highly preferred
- Experience with Azure data tools, including Azure Data Factory, Azure Functions, and Stream Analytics, preferred
- Familiarity with AWS data ecosystems preferred
- Knowledge of reference architecture, reusable pipeline patterns, templates, and CI/CD practices
- Collaborative coaching and leadership skills, with the ability to teach, establish governance, and strengthen engineering practices across cross-functional teams
- Strong analytical, problem-solving, organizational, and communication skills
- Ability to meet or exceed performance competencies
- Ability to handle work-related stress and multiple priorities simultaneously
- Ability to meet deadlines
- Travel as required
Benefits
Comp & perks- Work-life balance
- Career growth opportunities
- Caring culture
- Reasonable accommodations when applicable and appropriate
- Equal opportunity workplace
- Drug-free workplace