V.L.S. Systems, Inc
1099/W2 Role || Senior Snowflake Data Engineer Modern Data Platforms & AI Exposure || Portland, OR-Onsite
Portland, Oregon, USA · Senior · Contract
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About the role
- Strong expertise in SQL and Python programming.
Responsibilities
- Design, develop, and maintain scalable enterprise data pipelines and modern cloud-based data platforms.
- Build robust ETL/ELT workflows for ingesting and transforming data from APIs, databases, flat files, and streaming sources.
- Develop and optimize Snowflake-based solutions including stored procedures, tasks, streams, dynamic tables, Snowpark, and performance tuning.
- Implement enterprise-scale transformation frameworks using dbt Core and dbt Cloud.
- Design and maintain scalable and maintainable data models supporting business intelligence, analytics, and operational reporting.
- Develop API-based integrations and data services for enterprise applications and downstream systems.
- Collaborate with cross-functional teams including architects, analysts, business stakeholders, and AI/data science teams to deliver enterprise data solutions.
- Support AI/LLM-enabled initiatives by enabling structured, scalable, and vector-ready data pipelines.
- Drive technical ownership of data pipelines and platform reliability across development, deployment, and production support activities.
Requirements
- Strong understanding of enterprise data warehousing concepts, dimensional modeling, and scalable data architecture.
Nice to have
- Openflow exposure Azure cloud understanding AWS concepts understanding Snowflake Cortex / Snowflake Intelligence exposure AI / LLM / chatbot / RAG / MCP / Agent concepts exposure
- Work with ETL/ELT tools such as Matillion, Informatica, and Openflow (nice to have).
- Ensure data quality, governance, scalability, observability, operational reliability, and cost optimization across the data platform.
- Proactively monitor, troubleshoot, and resolve data pipeline and platform issues in production environments.
- Participate in architecture discussions and contribute to modern data engineering best practices and standards.
- Required Skills & Qualifications 8 10 years of experience in Data Engineering, Data Warehousing, or related roles.
Skills
- Informatica Key things they are looking for:
This listing is sourced directly from V.L.S. Systems, Inc's careers page and normalized into a canonical job model.