Job description

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. Pay: $83.00 - $93.00/hr ; W2 contract, no PTO, no Benefits. ACA-compliant supplemental package available for enrollment. Candidates must be legally authorized to work in the United States and must be able to sit on Primary Talent Partners W2 without sponsorship. Description Core Experience and Abilities: • 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 Preferred 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 Primary Talent Partners is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at info@primarytalentpartners.com #PTPJobs #LI-PTP

Requirements

Must-haves

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.
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

Nice-to-haves

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

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