- Design, build, and maintain pipelines and workflows that enable customers to use their data
- Transform raw data sources into clean, reliable, and scalable data streams
- Build scalable pipelines ingesting, transforming, and delivering data from EHRs, claims, APIs, and CRM systems into analytics-ready Snowflake structures
- Integrate pipeline development with version control and CI/CD for repeatable deployments, change tracking, and approval gates
- Analyze query profiles, optimize queries, and debug Snowflake workloads
- Manage warehouse sizing, scaling policies, and credit/cost considerations
- Work directly with client architects and analysts to explain and implement technical tradeoffs
- Teach counterparts how to support and expand project deliverables
- Adapt to new and unfamiliar technical challenges
- Manage multifaceted work streams, schedules, deadlines, and personal work product
- Anticipate issues and escape effectively
- Mentor and guide others
Requirements
- 3+ years of professional experience in data engineering or related roles
- 2+ years of hands‑on Snowflake experience in a production environment
- Strong Snowflake development experience, including query profile analysis, query optimization, and debugging
- Experience with virtual warehouse sizing, scaling policies, and credit/cost management
- Experience with COPY INTO, Snowpipe, external stages, and external tables
- Knowledge of clustering keys, micro‑partition behavior, materialized views, Time Travel, and zero‑copy cloning
- Knowledge of Snowflake roles, grants, and RBAC hierarchy design
- Proficiency in Python or another programming/scripting language such as Scala or Java
- Experience with dbt, Snowflake Streams and Tasks, Dynamic Tables, Snowpark (Python), Apache Airflow, Azure Data Factory, or another orchestration framework
- Solid grounding in ETL/ELT principles, dimensional and data‑vault‑style modeling, and data warehousing concepts
- Experience with at least one major cloud provider (AWS, Azure, or GCP), including storage and networking basics as they relate to Snowflake integrations
- Suitable home office to operate from
- No relocation required
Core Competencies
Demonstrates expertise in building and maintaining data pipelines, with a strong focus on Snowflake development, query optimization, and data transformation. Proficient in managing cloud integrations and mentoring team members to enhance project deliverables.
Highest-signal resume keywords
- Snowflake Development
- Data Pipeline Engineering
- ETL/ELT Principles
- Python Programming
- Cloud Provider Experience
ATS Optimization Keywords
Hard Skills
- Data Engineering
- Query Optimization
- Snowflake Workloads Debugging
- COPY INTO
- Snowpipe
- External Stages
- Materialized Views
- RBAC Hierarchy Design
- Dimensional Modeling
- Data Warehousing Concepts
Soft Skills
- Mentoring
- Problem‑Solving
- Effective Communication
- Adaptability
- Time Management
Industry Keywords
- EHRs
- Claims
- APIs
- CRM Systems
- Cloud Integrations
Tools & Technologies
- Dbt
- Apache Airflow
- Azure Data Factory
- Snowflake Streams
- Snowpark
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Data Engineer – Snowflake Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
