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# Data Engineer

- **Company:** Shimento, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Data Analysis, Automation of Tests, Microsoft Azure, Cloud Computing, Code Review, Databases, Continuous Integration, Information Engineering, Data Governance, Data Transformation, Data Systems, Data Warehousing, Dimensional Modeling, Python (Programming Language), Metadata, Netsuite, Performance Tuning, Role-Based Access Control, Cloud Services, Workday Integrations, Salesforce.Com, SAP (Applications), Sql Optimization, Snowflake, Git, Data Layers, Dynamic Data, Virtual Agents, Data Pipelines
- **Published:** September 23, 2026
- **Apply:** https://www.dice.com/job-detail/37e87fa4-3dd3-4fbf-b736-cc81b6d959a9

## About the Role

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., * 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.

## Description

* 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.


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