Data Engineer IV

About the role

Primary Talent Partners has a new contract opening for a Data Engineer IV with our large power and utilities client in Charlotte, NC. This is a 12-month contract with a potential for extension.

Responsibilities

• Ability to lead hands-on development efforts while providing technical direction, code reviews, and engineering oversight across multiple initiatives
• Experience establishing development environments, infrastructure standards, security controls, and migration strategies across multiple AWS accounts and environments
• Ability to architect, develop, and govern enterprise-scale data pipelines, ETL processes, data ingestion frameworks, and orchestration workflows
• Proven ability to identify data gaps, define strategic remediation plans, and implement scalable automation solutions that improve analytical capabilities across the organization
• Ability to design and implement highly reliable data pipelines with strong focus on data quality, observability, resiliency, and operational supportability
• Experience building and optimizing large-scale data warehousing solutions that prioritize both business user experience and system performance
• Ability to drive technical decision-making, influence architectural direction, and effectively communicate complex technical concepts to both technical and non-technical stakeholders
• Proven track record mentoring engineers, fostering technical growth, and building high-performing data engineering teams
• Experience leading cross-functional initiatives involving data engineering, analytics, architecture, platform engineering, and business stakeholders
• Strong problem-solving and leadership skills with the ability to manage competing priorities in fast-paced enterprise environment

Requirements

• Legally authorized to work in the United States
• Ability to sit on Primary Talent Partners W2 without sponsorship

Qualifications

• Hybrid in Charlotte, NC preferred
• AWS Certified Data Engineer, AWS Solutions Architect, or equivalent cloud certifications
• Experience implementing enterprise data governance and metadata management platforms
• Experience with real-time analytics, event-driven architectures, and streaming data platforms
• Knowledge of modern data architecture patterns including Data Mesh, Lakehouse, and domain-oriented design
• Experience leading large-scale cloud transformation or enterprise data modernization programs
• Experience creating AI applications using AWS Bedrock or similar Generative AI platforms
• Experience building AI-ready data pipelines and ML workflows, including feature engineering and MLOps
• Proficiency in Python, SQL, Spark, and Generative AI technologies for scalable data and analytics solutions
• Hands-on experience with AWS, Azure, Databricks, and cloud-based AI/data platforms
• Knowledge of LLMs, Retrieval-Augmented Generation (RAG), vector databases, and AI-powered search solutions
• Strong understanding of responsible AI, data governance, data quality, security, and AI compliance practices

Benefits

• W2 contract
• No PTO
• No Benefits
• ACA-compliant supplemental package available for enrollment

Pay

$83.00 -