Data Engineer

NO THIRD PARTIES- W-2 only. Must be able to hire on without sponsorship now or in the future.Job Title: Data Engineer IVLocation Requirements: Remote, Charlotte, NC- preference hybrid or close to Charlotte, NCJob Type: ContractRole 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 reviewsEstablish development environments, infrastructure standards, and security controls across AWSArchitect, develop, and govern enterprise-scale data pipelines, ETL, ingestion frameworks, and workflowsIdentify data gaps, define remediation plans, and implement automation solutionsDesign reliable data pipelines emphasizing data quality, observability, resiliency, and operational supportBuild and optimize large-scale data warehouses prioritizing user experience and system performanceDrive technical decision-making and influence architectural directionCommunicate complex technical concepts to technical and non-technical stakeholdersMentor engineers and foster technical growth within teamsLead initiatives involving data engineering, analytics, architecture, platform engineering, and business stakeholdersRequired Qualifications:Ability to lead hands-on development efforts with technical direction, code reviews, and oversightExperience establishing development environments, infrastructure standards, security controls, and migration strategies across multiple AWS accounts and environmentsAbility to architect, develop, and govern enterprise-scale data pipelines, ETL processes, data ingestion frameworks, and orchestration workflowsProven ability to identify data gaps, define strategic remediation plans, and implement scalable automation solutionsAbility to design highly reliable data pipelines focused on data quality, observability, resiliency, and operational supportabilityExperience building and optimizing large-scale data warehousing solutions that prioritize both business user experience and system performanceAbility to drive technical decision-making and influence architectural directionProven track record mentoring engineers, fostering technical growth, and building high-performing data engineering teamsExperience leading cross-functional initiatives involving data engineering, analytics, architecture, platform engineering, and business stakeholdersStrong problem-solving and leadership skills with the ability to manage competing priorities in a fast-paced enterprise environment