Senior Data Engineer - Snowflake

Senior Data Engineer - Snowflake***We will not be engaging with 3rd party agencies for this role.***About the RoleWe're looking for a Data Engineer with finance and accounting data experience to support critical financial reporting, reconciliation, billing, and operational accounting workflows. In this role, you will build and optimize cloud‑based data pipelines and financial data models that ensure accuracy, audit readiness, and traceability across the organization.You'll partner closely with Finance, Accounting, FP&A, and Analytics teams to translate business requirements into scalable, reliable data solutions. This position is hands‑on, collaborative, and ideal for someone who enjoys solving complex financial data challenges in a modern cloud environment.What You'll DoDevelop, test, and deploy cloud‑based data pipelines supporting financial reporting, close processes, reconciliations, and analytics use casesCoordinate with stakeholders and internal team members Build and optimize Snowflake data models and DBT transformations for finance and accounting workflowsImplement SQL transformations, reconciliation logic, and data quality checksCollaborate with Finance, Accounting, FP&A, and Analytics teams to define and deliver scalable data solutionsSupport cloud migration of financial and accounting data from on‑premises SQL environmentsEnsure data quality, lineage, auditability, and compliance with financial data standardsParticipate in Agile ceremonies including sprint planning, daily standups, and retrospectivesContribute to documentation, testing, and release processesWhat You Bring6+ years of experience in data engineeringHands‑on experience with Snowflake and AWS cloud‑native data servicesStrong SQL skills, including performance optimization and complex query developmentExperience with DBT or similar modern ELT/ETL toolsBackground working with financial data warehouses or data lakesFamiliarity with cloud migrations from on‑premises SQL systemsUnderstanding of financial data modeling, ETL/ELT best practices, and analytics architectureStrong communication skills, especially when working with finance and accounting stakeholdersExperience in Agile/Scrum environmentsExperience using AI‑assisted development tools (Cortex, Claude, Copilot, Cursor, etc.)Preferred Qualifications7+ years working with modern ELT/ETL tooling (DBT preferred)Expertise tuning and optimizing SQL stored procedures and transformationsPython experience for data engineering, automation, or financial data processingExperience supporting financial close cycles, reconciliations, audits, or executive financial reportingFamiliarity with real‑time or near‑real‑time data processingKnowledge of Git, CI/CD pipelines, DevOps tools, Jira, and ConfluenceExposure to regulated financial systems or healthcare‑related financial data (nice to have) Location - Remote (Hybrid 1 day onsite in Morristown, NJ if commutablePay - $70/hr - $80/hrLength: Extendable, 6 months initial contractUtilization: 40 hours per week