Senior Data Engineer - Snowflake/dbt Transformation (Remote)

Eliassen Group; Juneau (AK); Remote; USD 101,000 - 162,000; Full time

Benefits offered by this job

Medical, dental, vision insurance

401(k) with match

Sick time where required

Job summary

Eliassen Group is seeking a Senior Data Engineer to own the governed transformation layer end-to-end. You will design Snowflake transformations, migrate legacy views to versioned dbt models with lineage, and define conformed dimensions to unify multi‑ERP environments.

The role emphasizes data quality, CI/CD standards, and collaboration with AI/analytics teams. The position is remote, permanent, and requires 7+ years in data engineering with strong Snowflake and dbt experience.

Qualifications

• 7+ years in data or analytics engineering with 4+ years on a cloud data warehouse.
• Expert SQL including window functions, performance tuning, and incremental load patterns.
• 3+ years of production dbt experience, including macros, tests, snapshots, incremental strategies, exposures, and documentation.
• Hands‑on Kimball dimensional modeling with star schemas, conformed dimensions, surrogate keys, and SCD Type 1 and Type 2.
• Production experience with at least one ingestion tool such as Fivetran, Airbyte, Informatica, or Matillion and one orchestrator such as dbt Cloud, Airflow, Dagster, or Azure Data Factory.
• Hands‑on Git and CI/CD for data using GitHub Actions, Azure DevOps Pipelines, or GitLab CI with code review and release practices.
• Proficient Python for data tooling including dbt macros, automation, data quality frameworks, and lightweight APIs.
• Experience modeling data from at least one enterprise ERP such as Oracle, SAP S/4HANA, SAP ECC, or Microsoft Dynamics.
• Strong written communication for standards, runbooks, and documentation.
• Self‑starter effective in a fast‑paced multi‑ERP environment with minimal supervision.
• Experience supporting AI/ML, RAG, or agentic workloads from a warehouse layer.
• Preferred: Table‑level experience with SAP ECC or S/4HANA finance and logistics tables, Power BI semantic models and DAX, regulated industry background, SOX ITGC familiarity, and exposure to MDM tooling.

Responsibilities

• Design and build the Snowflake transformation layer from raw to staging to conformed to marts as the governed foundation for reporting and AI/ML.
• 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 including star schemas, surrogate keys, fact grain, and SCD Type 1 and Type 2.
• Set standards for modeling, testing, naming, documentation, CI/CD, Git workflows, code review, dbt project structure, model contracts, and release management.
• Partner with report owners to validate semantic equivalence and minimize disruption during BI cutovers.
• Define and own the semantic layer across Snowflake, dbt, and Power BI to ensure consistent metrics.
• Implement data quality testing, observability, and lineage with dbt tests and equivalent tools, partnering with IT Audit on SOX-relevant controls.
• Design models for AI/ML and agent readiness with stable keys, clear semantics, and metadata for LLM retrieval and tool use.
• Collaborate with AI/analytics teams on feature-table patterns, golden-record exposure, and data foundations for agentic applications.

Skills

SQL

Python

Dimensional modeling

Data warehousing

ETL/ELT

Communication

Self-starter

Education

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

Tools

Snowflake

dbt

GitHub Actions

Azure DevOps Pipelines

GitLab CI

Power BI

Job description

Eliassen Group is seeking a Senior Data Engineer to own the governed transformation layer end-to-end. You will design Snowflake transformations, migrate legacy views to versioned dbt models with lineage, and define conformed dimensions to unify multi‑ERP environments.

The role emphasizes data quality, CI/CD standards, and collaboration with AI/analytics teams. The position is remote, permanent, and requires 7+ years in data engineering with strong Snowflake and dbt experience.