Senior Data Engineer

Eliassen Group; Lansing (MI); Remote; USD 101,000 - 162,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with match

Life insurance

Disability insurance

Sick time as required by law

Job summary

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

The role emphasizes modeling standards, CI/CD, and collaboration with BI teams to ensure semantic consistency across Snowflake, dbt, and Power BI.

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, and documentation.
• Hands-on Kimball dimensional modeling with star schemas and SCD Type 1/2.
• Experience with at least one ingestion tool (Fivetran, Airbyte, Informatica, or Matillion) and one orchestrator (dbt Cloud, Airflow, Dagster, or Azure Data Factory).
• Git and CI/CD for data using GitHub Actions, Azure DevOps Pipelines, or GitLab CI with code review.

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.
• Set standards for modeling, testing, naming, documentation, CI/CD, Git workflows, and release management.
• 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, observability, and lineage with dbt tests and related tools.
• Design models for AI/ML and agent readiness with stable keys and metadata for LLM retrieval.

Skills

SQL

dbt

Python

Snowflake

Data Modeling

ETL/ELT

Git & CI/CD

Power BI

Education

Bachelor's degree

Tools

Snowflake

Power BI

dbt Cloud

GitHub Actions

Azure DevOps

Job description

Senior Data Engineer

Anywhere

Type: Permanent

Category: Data

Industry: Technology

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -102026-109159

Date Posted: 10/20/2026

Shortcut: http://careers.eliassen.com/WEVLAT

Description:

Remote

Our client seeks a Senior Data Engineer to own the governed transformation layer end-to-end. The role will design and build Snowflake transformation layers, migrate legacy SQL views and user-maintained dimensions into versioned, tested dbt models with lineage, and define conformed dimensions and operational facts to unify multi-ERP environments. The position will establish modeling, testing, naming, documentation, and CI/CD standards. The work is hands-on with dbt, SQL, and Python.

This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis.

Salary: $101,000 - $161,800/ yr. w2

JN -102026-109159

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.

Experience Requirements

• 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. Experience designing and maintaining a dbt project from scratch.
• 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.

Education Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related quantitative field. Equivalent professional experience considered.

Benefits

• medical (choice of 3 plans), dental, vision, pre‑tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked‑in state/locality.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

Equal Employment Opportunity Statement

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmsive Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

About Eliassen Group

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.