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# Principal Data Engineer

- **Company:** The Client
- **Location:** Springfield, MO, United States
- **Salary:** $156,000.0 - $162,240.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, BigQuery, Cloud Database, Cloud Engineering, Information Systems, Customer Data Management, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Visualization, Google Analytics, SQL Databases, Data Streaming, Tableau (Software), Enterprise Data Management, Data Processing, Google Cloud, Snowflake, Containerization, Information Technology, Data Analytics, Apache Kafka, Apache Nifi, Cloud Migration, Domo, Stream Processing, Data Pipelines
- **Published:** June 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=1846c0d5986b58e3

## About the Role

Do you have experience in Vendor relationship building?, * Snowflake

 * Google Cloud Platform (GCP)
 * BigQuery
 * ELT/ETL Pipeline Development
 * Kafka and/or NiFi
 * Cloud Data Architecture
 * SQL & Data Modeling
 * Real-Time Data Streaming
 * Business Intelligence & Reporting Tools
 * Executive Stakeholder Communication, * 15+ years of experience in data engineering, enterprise data platforms, and large-scale pipeline development
 * Hands-on expertise with Snowflake, GCP, and BigQuery
 * Strong experience designing and supporting modern cloud-native data architectures and ELT/ETL frameworks
 * Experience with real-time streaming technologies such as Kafka, NiFi, or similar platforms
 * Proven ability to deliver executive-level reporting and data-driven insights to business and marketing stakeholders
 * Experience leading offshore teams and/or managing global vendor relationships
 * Background supporting retail or eCommerce environments
 * Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Preferred Qualifications

 * Experience with BI and visualization tools including Domo, Sigma, Tableau, or similar platforms
 * Experience supporting customer data platforms (CDP) and omnichannel analytics initiatives
 * Strong understanding of Google Analytics, customer analytics, and marketing attribution data models
 * Experience with advanced cloud-native data services and enterprise streaming ecosystems

## Description

Capstone IT is seeking a Principal Data Engineer to lead enterprise-scale data engineering initiatives supporting eCommerce, customer analytics, and marketing intelligence platforms. This role will be responsible for designing, optimizing, and delivering modern cloud-based data solutions leveraging Snowflake, Google Cloud Platform (GCP), BigQuery, and real-time streaming technologies.

The ideal candidate combines strong technical expertise with business acumen and can partner effectively with marketing, analytics, product, and executive leadership teams to deliver scalable, data-driven solutions. This individual will play a key role in modernizing enterprise analytics capabilities and supporting omnichannel customer intelligence initiatives., * Lead enterprise data engineering initiatives across eCommerce, customer analytics, and omnichannel data environments

 * Design, develop, and optimize scalable ELT/ETL pipelines supporting enterprise analytics and reporting
 * Build and maintain high-performance Snowflake and BigQuery data architectures
 * Develop and support real-time and batch data processing solutions using cloud-native technologies and streaming platforms
 * Partner with Product Owners, Business Analysts, marketing teams, and executive leadership to translate business requirements into scalable technical solutions
 * Deliver actionable analytics, dashboards, and executive-level reporting insights
 * Ensure data quality through governance, cleansing, transformation, integration, and validation processes
 * Drive architectural decisions related to enterprise data platforms, cloud modernization, and streaming ecosystems
 * Support BI and analytics environments utilizing tools such as Domo, Sigma, Tableau, and related visualization technologies
 * Manage offshore engineering resources and vendor relationships, including deliverables, budgeting, performance management, and capacity planning
 * Support customer behavior analytics, digital interaction analysis, and marketing attribution initiatives


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