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# Data Engineers

- **Company:** SANDERSON LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Business Systems, Cloud Computing, Information Engineering, Data Integration, Data Systems, SQL Databases, Tableau (Software), Snowflake, Data Analytics, Data Management, Data Pipelines
- **Published:** September 4, 2026
- **Apply:** https://computerjobs.com/us/en/mob/job/553B040A1919641684

## About the Role

Core Skills: Data Engineering, Snowflake, dbt, AWS, SQL, Data Modelling, Cloud Platforms, Agile Delivery, Data Pipelines, Analytics Engineering, * Strong SQL development and data modelling experience

 * Proven expertise working with Snowflake
 * Experience using dbt or similar modern transformation frameworks
 * Strong cloud data engineering knowledge, preferably within AWS environments
 * Track record of developing scalable, production-ready data solutions
 * Solid understanding of testing frameworks, data quality controls, and engineering best practices
 * Experience working within Agile product teams
 * Ability to work independently and manage competing priorities
 * Strong stakeholder engagement and communication skills

## Description

An exciting opportunity has arisen for 3 Senior Data Engineers to join a high performing Data & Analytics team during a critical period of growth and transformation.

You'll play a key role in delivering a mix of strategic initiatives and ongoing enhancement work, helping to shape and evolve a modern data platform that supports business-wide decision making. Working within collaborative, multidisciplinary teams, you'll partner with product owners, analysts, engineers, and business stakeholders to deliver scalable, reliable, and future-focused data solutions.

This role is ideally suited to engineers who enjoy taking ownership, solving complex data challenges, and influencing how data products are designed and delivered.
The role is:

 * Creating and optimising enterprise grade data solutions and pipelines
 * Developing effective data models that unlock insight and support reporting requirements
 * Integrating data from a variety of operational and business systems
 * Championing data quality, testing, governance, and engineering standards
 * Contributing to Agile delivery teams and collaborating across technical and non-technical functions
 * Supporting the evolution of a modern, cloud-based analytics environment

Technology Environment:

 * Snowflake
 * dbt
 * AWS
 * Tableau

The organisation is investing heavily in its data capabilities, with a strong focus on observability, governance, automation, and AI-enabled analytics.


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