Senior Data Engineer

Data Engineer About the Role We'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 Do • Develop, test, and deploy cloud‑based data pipelines supporting financial reporting, close processes, reconciliations, and analytics use cases • Build and optimize Snowflake data models and DBT transformations for finance and accounting workflows • Implement SQL transformations, reconciliation logic, and data quality checks • Collaborate with Finance, Accounting, FP&A, and Analytics teams to define and deliver scalable data solutions • Support cloud migration of financial and accounting data from on‑premises SQL environments • Ensure data quality, lineage, auditability, and compliance with financial data standards • Participate in Agile ceremonies including sprint planning, daily standups, and retrospectives • Contribute to documentation, testing, and release processes What You Bring • 4-6+ years of experience in data engineering or a related discipline • Experience developing data solutions for finance and accounting domains (e.g., general ledger, revenue, billing, payments, financial reporting) • Hands‑on experience with Snowflake and AWS cloud‑native data services • Strong SQL skills, including performance optimization and complex query development • Experience with DBT or similar modern ELT/ETL tools • Background working with financial data warehouses or data lakes • Familiarity with cloud migrations from on‑premises SQL systems • Understanding of financial data modeling, ETL/ELT best practices, and analytics architecture • Strong communication skills, especially when working with finance and accounting stakeholders • Experience in Agile/Scrum environments • Experience using AI‑assisted development tools Preferred Qualifications • 3+ years working with modern ELT/ETL tooling (DBT preferred) • Expertise tuning and optimizing SQL stored procedures and transformations • Python experience for data engineering, automation, or financial data processing • Experience supporting financial close cycles, reconciliations, audits, or executive financial reporting • Familiarity with real‑time or near‑real‑time data processing • Knowledge of Git, CI/CD pipelines, DevOps tools, Jira, and Confluence • Exposure to regulated financial systems or healthcare‑related financial data (nice to have) Location - Remote (Hybrid 1 day onsite in Morristown, NJ if commutable Pay - $70/hr - $80/hr Length: Extendable, 3-6 months initial contract Utilization: 40 hours per week