Senior Data / Analytics Engineer

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/ $60 - $85 hour

INFO

Salary
SALARY:

$60 - $85

Location

LOCATION

Job Type
JOB TYPE

Contract

Senior Data/Analytics Engineer

About Harnham
At Harnham, we connect top data professionals with impactful contract opportunities across the US. We partner with organizations that are investing heavily in modern data platforms and analytics.


About the Client
Our client is a fast growing technology focused company modernizing their cloud data environment. They are building scalable analytics foundations to support data science, reporting, and machine learning initiatives.


Role Details

Title: Senior Data/Analytics Engineer
Location: Remote (U.S. based)
Duration: 3-months initially, with high likelihood of extension
Hours: 40 per week
Pay: $60-$85/hr
Benefits: W2 candidates are eligible for healthcare, dental, vision, and 401k

The Role
This Senior Analytics Engineer will take ownership of building clean, well‑structured data models and a scalable warehouse foundation in a modern cloud environment. You will partner directly with data engineers, analysts, and data scientists to design data marts, define transformations, and ensure best practices in modeling, testing, and deployment. The role blends analytics engineering, data modeling, and software engineering discipline in an agile setup.


Key Responsibilities

- Design and develop core data warehouse and data mart structures.
- Migrate existing BI and warehouse assets into a modern cloud platform.
- Build and document transformation logic, testing frameworks, and deployment workflows.
- Use dbt (or similar tools) to deliver version controlled, production grade data models.
- Optimize performance, storage strategies, and model architecture for analytics use cases.
- Collaborate closely with cross functional data engineering, BI, and machine learning teams.

Requirements: Must Have

- 4 plus years in a data focused role (Analytics Engineer, Data Engineer, or Data Analyst).
- Strong production experience with dbt.

- Hands on experience with Looker.
- Hands on experience with a modern cloud data warehouse (BigQuery or Snowflake preferred).
- Deep SQL expertise including query optimization.
- Strong understanding of dimensional modeling (Kimball).
- Ability to translate business needs into scalable data structures.

Nice to Have

- dbt certification
- Google Cloud or Snowflake certifications
- Experience with Airflow or cloud orchestration tools
- Prior agile environment experience

**WE WILL NOT BE UTILIZING THIRD PARTIES FOR THIS SEARCH. WE WILL ONLY SPEAK WITH CANDIDATES DIRECTLY.**

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