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Principal Data Engineer

Remote • Posted 13 days ago • Updated 2 hours ago

Contract W2

Remote

Depends on Experience

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Job Details

Skills

Summary

We’re seeking a Lead Data Engineer to lead the development, enhancement, and delivery of data pipelines, analytics solutions, and Business Intelligence-related infrastructure. This role leads Snowflake and GCP-based environments and partners closely with several business units to provide actionable insights and high-quality data products. The ideal candidate blends strong data engineering expertise with an understanding of how to turn business data into actionable insights which generate revenue and expansion within our organization.
Responsibilities

Lead data engineering initiatives across eCommerce data environments, leveraging Snowflake, BigQuery, GCP Cloud Functions, and real-time streaming pipelines.
Oversee the design, creation, and optimization of ELT pipelines, particularly GFO (Google Analytics) data pipelines, powered by large-scale datasets and growing use cases.
Provide clear, actionable insights to other teams and deliver dashboards/presentations to leadership.
Manage offshore vendors, including performance oversight, deliverables, headcount approvals, and budget management.
Collaborate with a Product Owners and Business Analysts to translate business requirements into scalable data solutions.
Ensure high-quality data ingestion, transformation, cleansing, and integration to support marketing campaigns and customer engagement strategies.
Support and influence analytical environments using tools such as Domo, Sigma, and upcoming BI platforms.
Drive architectural decisions related to Snowflake schema design, BigQuery usage, real-time data streaming, and ELT processes.

Must-Haves

10+ Years of experience in data engineering, including pipeline creation, ELT processes, data cleansing, and large-scale dataset management.
Professional experience building data pipelines in conjunction with BigQuery & Google Cloud Platform, including Cloud Functions and core cloud concepts.
Hands-on experience with Snowflake (schema design, performance optimization) in distributed cloud environments.
Expertise with real-time data streaming platforms such as Kafka, NiFi, or comparable technologies.
Adept ability to deliver insights and dashboards to Marketing teams and presenting to leadership stakeholders.
Proven ability to manage offshore teams or global vendors, including budget and headcount oversight.
Professional expertise gained working within the retail industry.
Bachelor’s degree in Computer Science or related field.

Nice-to-Haves

Background using or implementing BI tools such as Domo, Sigma, Luca, or Tableau.
Additional experience with real-time streaming tools or advanced cloud-native data services.
Google Analytics data specialization or advanced knowledge of marketing attribution data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10524239
Position Id: 1873
Posted 13 days ago

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