Peyton Resource Group
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Position Overview
We are seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and strategic decision-making. This role focuses on developing robust data pipelines, API integrations, and governance frameworks to ensure high-quality, reliable, and accessible data. The ideal candidate combines hands-on engineering expertise with a strategic mindset to optimize the organization’s data ecosystem and drive business value.
Key Responsibilities
Minimum Qualifications
Education & Experience
Preferred Experience
Senior Data Engineer
Posted: 11/21/2025
2025-11-21
2026-01-12
Job Number: 22138
Job Description
Position Overview
We are seeking a Senior Data Engineer to design, build, and maintain scalable data infrastructure that powers analytics, reporting, and strategic decision-making. This role focuses on developing robust data pipelines, API integrations, and governance frameworks to ensure high-quality, reliable, and accessible data. The ideal candidate combines hands-on engineering expertise with a strategic mindset to optimize the organization’s data ecosystem and drive business value.
Key Responsibilities
- Design, implement, and maintain secure, scalable data pipelines in cloud environments (e.G., Azure), ensuring data integrity, availability, and performance.
- Develop API-based integrations and workflows to handle growing data volumes and complexity across multiple systems.
- Collaborate with analysts, report developers, and stakeholders to improve data models and accessibility in BI tools (Power BI).
- Build and optimize ETL/ELT processes to transform and load data from diverse sources.
- Monitor, troubleshoot, and resolve pipeline issues, maintaining high availability of critical data assets.
- Partner with business and technology teams to define and evolve long-term data platform architecture.
- Implement and maintain data quality frameworks, including lineage, metadata management, and anomaly detection.
- Identify, integrate, and validate data sources to ensure compatibility, cleanliness, and compliance.
- Utilize DevOps tools (e.G., Git, CI/CD) to deploy and manage data workflows.
- Collaborate in Agile teams and cross-functional initiatives, providing technical guidance and support.
- Mentor team members and contribute to other data engineering projects as assigned.
Minimum Qualifications
- Proven ability to transform raw data into structured datasets that drive business decisions.
- Strong problem-solving, troubleshooting, and prioritization skills.
- Effective written and verbal communication skills with strong documentation practices.
- Process-oriented mindset with a focus on data accuracy, security, and governance.
Education & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data architecture, pipeline development, or related roles.
- 5+ years hands-on experience with Python and SQL.
- Solid experience in dimensional modeling, data warehousing, and database design.
- Microsoft DP-203 certification preferred.
Preferred Experience
- 5+ years managing enterprise data migrations and transformations.
- 3+ years building and deploying pipelines in Azure Data Services (Data Factory, Data Lake, Databricks, Event Hubs).
- 3+ years experience in Agile/DevOps environments, including CI/CD practices.
- Familiarity with modern data quality and governance tools (e.G., Azure Purview).
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