Remote Senior Data Engineer: Snowflake/dbt & AI Layer

Eliassen Group; Dover (DE); À distance; USD 101 000 - 162 000; Plein temps

Résumé du poste

Eliassen Group is seeking a Senior Data Engineer to own the governed transformation layer end-to-end, designing Snowflake transformations, migrating legacy views to versioned dbt models, and defining conformed dimensions for multi-ERP environments.

The role involves hands-on work with dbt, SQL, Python and collaboration across AI/ML initiatives. This is a remote, full-time W2 role with a competitive salary and comprehensive benefits.

Qualifications

• 7+ years in data or analytics engineering with 4+ years on a cloud data warehouse, preferably Snowflake.
• 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: SAP ECC/S4HANA finance and logistics tables, Power BI semantic models, and SOX ITGC familiarity.

Responsabilités

• 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.

Connaissances

SQL proficiency

Python scripting

Data modeling

Cloud data warehouse

Formation

Bachelor’s degree in Computer Science or related field

Outils

Snowflake

dbt

Power BI

GitHub Actions

Airflow

Description du poste

Eliassen Group is seeking a Senior Data Engineer to own the governed transformation layer end-to-end, designing Snowflake transformations, migrating legacy views to versioned dbt models, and defining conformed dimensions for multi-ERP environments.

The role involves hands-on work with dbt, SQL, Python and collaboration across AI/ML initiatives. This is a remote, full-time W2 role with a competitive salary and comprehensive benefits.