IT Data Platform Engineer 2

Evergen• Remote, Remote, US, Remote

1d•Remote

About The Position

We are looking for a hands-on Data Platform Engineer to own, operate, and evolve our modern cloud data stack. You will be the primary technical owner of our data infrastructure — responsible for keeping data flowing reliably from source systems into Snowflake and ensuring clean, trusted data reaches our business teams through Power BI. This is a high-impact role on a small, focused team where your work will be directly visible to the business.

Requirements

3 to 5 years of experience in data engineering, analytics engineering, or a closely related role
Hands-on experience with dbt (Core or Cloud) including incremental models, tests, macros, and documentation
Proficiency with Snowflake including schema design, query optimization, warehouses, and role-based access control
Experience with a managed ingestion tool such as Fivetran and dlt including connector configuration and monitoring
Strong SQL skills with the ability to write and debug complex analytical queries
Familiarity with ELT pipeline patterns and medallion-style data warehouse architecture
Experience troubleshooting pipeline failures independently and communicating issues clearly to non-technical stakeholders
Comfort working autonomously in a small team environment with limited oversight

Nice To Haves

Experience connecting to on-premises source systems (SQL Server, SAP HANA, Oracle) via ODBC or CDC tooling
Familiarity with ERP financial data in NetSuite, SAP, or similar, particularly GL structures and chart of accounts
Exposure to Power BI including dataset refresh management and understanding of how semantic models consume warehouse data
Experience with Git-based workflows and basic CI/CD practices for data projects
Prior involvement in an EDW build or dimensional modeling project (star schema, slowly changing dimensions)

Responsibilities

Own and manage Fivetran connectors across all source systems including NetSuite, HubSpot, ADP, SQL Server, SAP HANA, and SharePoint
Configure and monitor sync schedules, column exclusions, and incremental load strategies to control cost and reliability
Troubleshoot connector failures and proactively manage schema drift from upstream sources
Maintain and extend our dbt project across three layers: staging (L1), core dimensions and facts (L2), and business-ready marts (L3)
Write and optimize SQL models using incremental merge strategies and watermark patterns
Author and maintain dbt tests, model documentation, and source freshness checks to ensure data quality
Support the buildout of our finance EDW including GL activity, planning data from Workday Adaptive, and NetSuite financials
Manage end-to-end pipeline scheduling and monitoring, ensuring daily refreshes complete reliably before business hours
Maintain the integration between Fivetran, dbt, and Power BI dataset refresh triggers
Build and maintain alerting so pipeline failures are caught and communicated before the business is impacted
Manage Snowflake environments including databases, schemas, roles, warehouses, and cost controls
Implement and maintain access controls and role-based permissions across the data platform
Contribute to data catalog and lineage documentation to support a growing team and reduce knowledge concentration risk
Partner with Finance, Sales, and Operations teams to understand reporting requirements and translate them into reliable data models
Support and mentor the junior member of the data team as they develop their skills
Work closely with the incoming NetSuite implementation team to ensure clean data integration into the warehouse