Data Engineer

Data EngineerKORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for a Data Engineer that is based in Charleston, SC. Remote/hybrid flexibility. We are seeking a highly capable Data Engineer to design and build the data infrastructure that powers investment operations, reporting, and business intelligence capabilities. This is a foundational role within a firm actively modernizing its data architecture by replacing fragmented automations with scalable, production-grade pipelines and establishing a centralized, reliable source of truth across multiple systems. The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling, data quality, and governance. This role requires deep technical expertise along with the ability to navigate a complex, multi-system financial data environment. This position will play a central role in supporting the organization's evolving AI and analytics initiatives. The ideal candidate will help structure, govern, and optimize warehouse data to support future AI-enabled workflows and advanced reporting capabilities. The Data Engineer will work closely with cross-functional teams including Operations, IT, business stakeholders, and external technology partners to ensure the data platform evolves in alignment with operational and strategic needs.Key ResponsibilitiesArchitecture & InfrastructureEvaluate and recommend scalable data architecture solutions, including warehouse and lakehouse strategies.Build and maintain a centralized cloud data warehouse environment.Design and maintain scalable ingestion pipelines across multiple operational and financial systems.Develop data structures and governance models that support analytics, reporting, and future AI-driven workflows.Ensure the data platform is designed with long-term scalability, security, and accessibility in mind.Data Modeling & TransformationDesign and implement canonical data models across financial and operational datasets.Write and optimize complex SQL queries, transformations, and performance-tuned data workflows.Replace manual or lightweight automations with production-grade ETL/ELT pipelines using Python and cloud-native tooling.Integrations & APIsBuild and maintain REST API integrations across third-party platforms and internal systems.Develop Python-based ingestion and transformation processes.Support orchestration and storage within a cloud environment using modern data engineering best practices.Data Quality, Governance & SecurityImplement validation frameworks, deduplication logic, monitoring, and exception handling processes.Configure role-based access controls and maintain auditability across the data environment.Document and maintain end-to-end data lineage and governance standards.Support compliance and security requirements for sensitive financial and operational data.Reporting & DocumentationDeliver reporting-ready datasets supporting portfolio analytics, operational reporting, and business intelligence initiatives.Support BI tool integrations and semantic layer development for technical and non-technical users.Create and maintain documentation for architecture decisions, pipelines, and data dictionaries.Cross-Functional CollaborationPartner closely with Operations, IT, and leadership teams to align data infrastructure with business goals.Participate in ongoing technology and systems planning initiatives.Act as a key liaison between technical and business stakeholders to ensure data solutions meet organizational needs.Technical RequirementsAdvanced Python development for data engineering and automationAdvanced SQL skills including performance optimization and complex transformationsStrong experience with Snowflake or similar cloud data warehouse platformsExperience designing scalable data models and ETL/ELT pipelinesREST API integration experience including authentication, pagination, and error handlingCloud platform experience, preferably AWSStrong understanding of data quality, governance, and access controlsAbility to work cross-functionally in fast-paced environmentsPreferred SkillsExperience supporting AI or LLM-enabled workflowsFinancial services, private equity, asset management, or investment operations experienceFamiliarity with CRM, fund administration, or portfolio management platformsExperience with BI tools such as Tableau, Looker, or SigmaRequired QualificationsBachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field5+ years of experience in data engineeringStrong production experience with Python and SQLExperience building scalable cloud-based data platformsStrong documentation and communication skillsCore CompetenciesOwnership and accountabilityStrong analytical and systems thinkingCross-functional collaborationClear communication with technical and non-technical stakeholdersAdaptability in fast-paced environmentsHigh standards for governance, accuracy, and complianceLocation & Work EnvironmentThis position is preferably based in the Southeast United States, though remote candidates may be considered for the right fit.Compensation & BenefitsCompetitive compensation package, performance-based incentives, comprehensive health and retirement benefits, high visibility with leadership and strategic initiatives, opportunity to help build foundational infrastructure within a growing organization. Kore1