A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Lead Data Engineer Globenet Consulting Corp Bellevue, WA Job Details Full-time $45 - $55 an hour 13 hours ago Benefits Opportunities for advancement Qualifications Data model design Commercial use (data warehousing systems) Stakeholder engagement Cloud analytics services Databricks Data Integration (Data management) Azure Infrastructure as Code (IaC) Spark SQL Team development Data Architecture Design (Architecture design skills) Cloud engineering team management ETL process automation Cloud database architecture Professional development support Azure DevOps proficiency Terraform Mentoring Cloud automation DevOps automation Data analytics tools Technical architecture Python Dimensional modeling Stakeholder management Database software proficiency
Full Job Description Benefits:
Competitive salary Opportunity for advancement Training & development Lead Data Engineer -
Azure Databricks Location:
Charlotte, North Carolina 28273
Work Arrangement:
Onsite, 5 days per week Let's Create Our Future Together at The AES Group The AES Group is a technology and engineering consulting company with more than 20 years of experience connecting organizations with skilled professionals and innovative solutions across cloud, data, AI, and engineering. Why Join This Opportunity? Lead high-impact enterprise data engineering initiatives Mentor and guide a growing team of data engineers Work with modern Azure Databricks and cloud data technologies Support large-scale data modernization and legacy migration programs Collaborate with technical leaders and business stakeholders Gain exposure to Power BI, MicroStrategy, Delta Lake, Azure DevOps, and data governance frameworks Position Overview The AES Group Inc. is seeking an experienced Lead Data Engineer to support one of our enterprise clients. This role will lead the design, development, and optimization of scalable cloud data platforms while establishing engineering standards and mentoring team members. The ideal candidate will have recent hands-on experience with Azure Databricks, Python, PySpark, SQL, ETL/ELT development, and modern data warehouse architecture. Key Responsibilities Design and optimize scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake. Provide technical leadership, mentoring, and guidance to data engineers. Improve CI/CD pipelines using Azure DevOps, Git, Terraform, and automated deployment frameworks. Establish standards for development, testing, code quality, and release management. Ensure data accuracy through integration, transformation, validation, and cleansing processes. Use Python and PySpark for automation, data processing, and performance optimization. Support migrations from legacy environments to modern cloud data platforms. Translate business and technical requirements into scalable data solutions. Apply governance and security practices using Unity Catalog, Azure RBAC, managed identities, and access controls. Support Power BI reporting environments and provide exposure to MicroStrategy. Participate in on-call support and resolve production issues when required. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Information Technology, or a related field, or equivalent experience. At least 3 years of hands-on Azure Databricks experience. Strong knowledge of current Azure Databricks features and capabilities. At least 5 years of data warehouse analysis, architecture, and design experience. Strong knowledge of dimensional modeling, operational data stores, and enterprise integration. At least 5 years of ETL/ELT development using Python, PySpark, and SQL. Experience with Terraform, Git, CI/CD pipelines, and Azure DevOps. Demonstrated experience leading and mentoring data engineering teams. Strong communication, problem-solving, and stakeholder-management skills. Preferred Qualifications Databricks Data Engineer Associate or Professional certification. Experience with Unity Catalog, Azure RBAC, managed identities, and data governance. Familiarity with Power BI and MicroStrategy architecture. Experience in regulated, quality-focused, or compliance-driven environments. Ready to make an impact? Apply now and join us on our journey!
