Senior Data Engineer

Peyton Resource Group; Irving (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

Peyton Resource Group in Irving, Texas is seeking a Senior Data Engineer to design and maintain scalable data infrastructure that supports analytics and decision-making. The ideal candidate should possess a Bachelor’s or Master’s degree in Computer Science and 5+ years of experience in data architecture and pipeline development. Responsibilities include building secure data pipelines and collaborating with teams to enhance data models in BI tools. Strong Python and SQL skills are essential for this role.

Qualifications

• Proven ability to transform raw data into structured datasets.
• Strong problem-solving, troubleshooting, and prioritization skills.
• Effective written and verbal communication skills with strong documentation practices.
• Process-oriented mindset focused on data accuracy and security.

Responsibilities

• Design, implement, and maintain scalable data pipelines in cloud environments.
• Develop API-based integrations to handle growing data volumes.
• Collaborate with analysts and stakeholders to improve data models.
• Mentor team members and contribute to data engineering projects.

Skills

Data pipeline development

Python

SQL

Data governance

Problem-solving

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Tools

Azure Data Services

Power BI

DevOps tools (e.g., Git, CI/CD)

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).