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About
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
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Languages
- English
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