Data Engineer

NO THIRD PARTIES- W-2 only. Must be able to hire on without sponsorship now or in the futur e. Job Title: Data Engineer IV Location Requirements: Remote, Charlotte, NC- preference hybrid or close to Charlotte, NC Job Type: Contract Role Overview: You will lead hands-on development efforts while providing technical direction, code reviews, and engineering oversight across multiple initiatives. You will establish development environments, infrastructure standards, security controls, and migration strategies across AWS accounts and environments. Your focus will be on architecting, developing, and governing enterprise-scale data pipelines, ETL processes, data ingestion frameworks, and orchestration workflows. You will identify data gaps, define strategic remediation plans, and implement scalable automation solutions to enhance analytical capabilities. Designing reliable data pipelines with a focus on data quality, observability, resiliency, and operational supportability will be key. You will also build and optimize large-scale data warehousing solutions that improve both user experience and system performance. Driving technical decision-making, influencing architecture, and communicating complex concepts to technical and non-technical stakeholders will be essential. Mentoring engineers, fostering technical growth, and building high-performing teams will be part of your role. Leading cross-functional initiatives involving data engineering, analytics, architecture, platform engineering, and business stakeholders is expected. You must demonstrate strong problem-solving and leadership skills to manage priorities in a fast-paced enterprise environment. Responsibilities: Lead development efforts while providing technical oversight and code reviews Establish development environments, infrastructure standards, and security controls across AWS Architect, develop, and govern enterprise-scale data pipelines, ETL, ingestion frameworks, and workflows Identify data gaps, define remediation plans, and implement automation solutions Design reliable data pipelines emphasizing data quality, observability, resiliency, and operational support Build and optimize large-scale data warehouses prioritizing user experience and system performance Drive technical decision-making and influence architectural direction Communicate complex technical concepts to technical and non-technical stakeholders Mentor engineers and foster technical growth within teams Lead initiatives involving data engineering, analytics, architecture, platform engineering, and business stakeholders Required Qualifications: Ability to lead hands-on development efforts with technical direction, code reviews, and oversight 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 Ability to design highly reliable data pipelines focused 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 and influence architectural direction 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 a fast-paced enterprise environment