Data Engineer

Data Engineer

LocationUS

Category Information Technology Job ID 2026-12698 Pos. Type Full-Time Workplace Location Remote

Overview

Our Enterprise Analytics Center of Excellence (CoE) is building the next-generation analytics stack centered on Snowflake, AWS and Sigma. We’re looking for a Data Engineer to help design, build, and operate this modern data architecture. This role focuses on developing efficient, governed data pipelines and enabling analytics teams across the business to access reliable, high-quality data.

Responsibilities

Ingestion & Transformation

Build and maintain scalable data pipelines using Python, dbt, and Snowflake-native tooling (Tasks/Streams), deployed on AWS (S3, Airflow, ECS).

Assist in migrating existing Dataiku pipelines into Snowflake to simplify architecture and improve efficiency.

Continuously improve workflows for performance, reliability, and maintainability.

Semantic Modeling & Views

Develop and maintain Snowflake semantic views that support analytics and reporting needs.

Apply data modeling best practices to ensure consistency across business domains.

Support creation of governed, role-based semantic layers for Finance, Operations, and other enterprise areas.

Governance & Security

Implement data access controls aligned with enterprise RBAC frameworks.

Support metadata management and cataloging for visibility in Sigma.

Ensure pipelines and models meet enterprise data governance standards.

Analytics Enablement

Deliver clean, governed data sets for Sigma dashboards and embedded analytics use cases.

Monitor and optimize query performance to balance cost and speed.

Partner with analysts and BI developers to ensure data is reliable and ready for consumption.

Continuous Improvement

Stay current with Snowflake and Sigma feature updates.

Recommend improvements to data engineering processes and automation where possible.

Contribute to a culture of learning and collaboration within the CoE.

Qualifications

Education & Experience

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

At least 5 years of experience as a Data Engineer or in a similar role.

Required Skills & Experience

Snowflake expertise

SQL, Tasks/Streams, and performance

Cloud experience

Hands-on with AWS (S3, VPC, IAM, Airflow, ECS; Lambda a plus).

Data modeling

Familiar with dimensional modeling, database design, and semantic layer design.

ETL/ELT engineering

Experience building and optimizing data pipelines, including hands-on work with dbt for transformations.

Governance & Security

Understanding of AD/LDAP integration, RBAC, and data cataloging.

Programming

Proficient in SQL and Python.

AI fluency

Demonstrated experience using AI tools and LLMs in day-to-day engineering work (prompting, code generation, workflow automation). Candidates should expect this to be a major focus of the interview.

Strong problem-solving skills and a desire to learn emerging data technologies.

Preferred Skills

Experience supporting Power BI to Sigma migrations or similar modern BI transitions.

EEO

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.