Remote Senior Data Engineer - Snowflake & dbt Expert

Eliassen Group; Madison (WI); Remote; USD 101,000 - 162,000; Full time

Benefits offered by this job

Medical plans

Dental insurance

Vision insurance

Pre-tax accounts

Life and disability insurance

401(k) with match

Job summary

Eliassen Group is seeking a Senior Data Engineer to own the governed transformation layer end-to-end, designing Snowflake transformation layers, migrating legacy views to versioned dbt models, and defining conformed dimensions for multi-ERP environments. The role involves dbt, SQL, and Python, with a hands-on focus on building scalable data foundations for BI and AI/ML initiatives.

The position is remote, full-time, and offers a competitive salary with comprehensive benefits; W2 employment is

Qualifications

• 7+ years in data/analytics engineering with 4+ years on a cloud data warehouse, preferably Snowflake.
• Expert SQL including window functions, performance tuning, and incremental loads.
• 3+ years of production dbt experience, including macros, tests, snapshots, incremental strategies, and documentation.
• Hands-on Kimball dimensional modeling with star schemas and conformed dimensions.
• Experience with at least one ingestion tool (Fivetran, Airbyte, Informatica, or Matillion) and one orchestrator (dbt Cloud, Airflow, Dagster, or ADF).
• Git and CI/CD for data using GitHub Actions, Azure DevOps, or GitLab CI with code review and release practices.
• Python for data tooling, including dbt macros and data quality frameworks.
• Experience modeling data from at least one ERP (Oracle, SAP S/4HANA, SAP ECC, or MS Dynamics).
• Strong written communication for standards and runbooks.
• Self-starter in a fast-paced multi-ERP environment.
• Experience supporting AI/ML, RAG, or agentic workloads from a warehouse layer.
• Preferred: SAP ECC/S4HANA finance/logistics tables, Power BI semantics, and SOX ITGC exposure.

Responsibilities

• Design and build the Snowflake transformation layer from raw to staging to conformed to marts as the governed foundation for reporting.
• Migrate existing SQL views to versioned, tested dbt models with full lineage.
• Define conformed dimensions and operational facts across multi-ERP environments using Kimball principles.
• Set standards for modeling, testing, naming, documentation, CI/CD, Git workflows, and model contracts.
• Partner with report owners to validate semantic equivalence and minimize BI cutover disruption.
• Define and own the semantic layer across Snowflake, dbt, and Power BI for consistent metrics.
• Implement data quality testing and lineage with dbt tests and related tools; collaborate on SOX controls.
• Design models for AI/ML and agent readiness with stable keys and metadata for LLM retrieval.
• Collaborate with AI/analytics teams on feature-table patterns and data foundations for agentic apps.

Skills

SQL

Snowflake

dbt

Python

Git & CI/CD

Star schemas / Kimball

ERP systems

Data modeling

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

dbt Cloud

Airflow

GitHub Actions

Power BI

Job description

Eliassen Group is seeking a Senior Data Engineer to own the governed transformation layer end-to-end, designing Snowflake transformation layers, migrating legacy views to versioned dbt models, and defining conformed dimensions for multi-ERP environments. The role involves dbt, SQL, and Python, with a hands-on focus on building scalable data foundations for BI and AI/ML initiatives.

The position is remote, full-time, and offers a competitive salary with comprehensive benefits; W2 employment is