Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
1 week ago
SQLSnowflakeAzureGitPythondbt
Job Description
Senior Data Engineer
Location: Remote
Employment: 6-Month Contract
Experience: 4+ Years
Job Summary:
We are looking for a Senior Data Engineer with strong hands-on experience in dbt Core, dbt Cloud, Fivetran, and Snowflake. The candidate will design, develop, deploy, and support scalable cloud-based ELT pipelines and analytics-ready data solutions.
Key Responsibilities:
- Build and maintain dbt models, macros, tests, snapshots, seeds, packages, and documentation.
- Configure and manage dbt Cloud jobs, schedules, deployments, and environments.
- Configure and troubleshoot Fivetran connectors, incremental loads, schema changes, and syncs.
- Develop scalable Snowflake databases, schemas, tables, views, and data models.
- Write advanced SQL for transformation, validation, reconciliation, and performance optimization.
- Design Bronze/Raw, Silver/Cleansed, Gold/Business-Ready, and Semantic layers.
- Apply dimensional modeling, fact/dimension tables, star schemas, and proper data grain.
- Implement Git, Azure DevOps, CI/CD, code reviews, and multi-environment deployments.
- Apply Snowflake security including RBAC and dynamic data masking.
- Support and refine Snowflake CoCo AI Agent semantic definitions and business metrics.
- Troubleshoot end-to-end pipelines across Source → Fivetran → Snowflake → dbt → BI/Consumption.
- Collaborate with data architects, engineers, BI teams, analysts, and business stakeholders.
Required Skills:
- 4+ years of Data Engineering / Analytics Engineering experience.
- Strong dbt Core & dbt Cloud experience.
- Strong Fivetran experience.
- Strong Snowflake experience.
- Advanced SQL and data transformation skills.
- Strong knowledge of ELT, data warehousing, dimensional modeling, and cloud data platforms.
- Experience with Git, Azure DevOps, CI/CD, automated testing, and data quality.
Preferred:
- dbt/Snowflake certification.
- Python experience.
- Salesforce, NetSuite, SAP, or Workday integration experience.
- Data governance, lineage, metadata, and observability experience.
- Consulting/client-facing experience.
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