Senior Finance Data Engineer

About the Role

Were looking for a Senior Data Engineer to join our Finance BI team and help shape the future of data-driven decision making across this role youll design build and operate trusted finance data products and scalable data pipelines that power financial reporting forecasting planning ARR analytics executive dashboards and emerging AI-driven insights.

You will work at the intersection of finance analytics and modern cloud data engineering partnering closely with Finance leaders analysts IT teams product organizations and external partners to transform complex operational and financial data into high-quality analytics-ready solutions.

The ideal candidate is a hands-on data engineering professional who combines strong technical expertise with a practical understanding of business reporting data governance and enterprise-scale analytics.

What Youll Do

• Design build test and maintain scalable data pipelines across finance and enterprise source systems.
• Develop and optimize ELT/ETL processes using modern cloud data platforms and engineering best practices.
• Create curated analytics-ready datasets and data models for Power BI forecasting planning and executive reporting.
• Implement data quality frameworks reconciliation processes validation controls and monitoring capabilities to ensure trust in reporting outputs.
• Support strategic Finance BI initiatives including ARR by Product reporting personnel planning finance dashboards forecasting solutions and other reporting programs.
• Partner with analysts and business stakeholders to understand reporting requirements metric definitions and analytical use cases.
• Optimize the performance reliability scalability and usability of datasets semantic models and analytics pipelines.
• Apply data security governance access management and documentation standards aligned with enterprise best practices.
• Contribute to DevOps CI/CD testing deployment and release management processes.
• Support AI Copilot and agent-based analytics solutions through well-governed reusable and trusted data assets.

Qualifications :

Required Qualifications

• Bachelors degree in Computer Science Data Engineering Information Systems Finance Technology or a related field or equivalent practical experience.
• Typically 5 years of experience in data engineering analytics engineering business intelligence or data platform delivery.
• Strong hands-on experience designing and building enterprise data engineering solutions.
• Advanced SQL skills and experience working with complex financial operational or business-critical datasets.
• Strong Python experience for data transformation automation orchestration and pipeline development.
• Experience building and supporting production-grade data pipelines on Microsoft Fabric Azure Data Platform Databricks Snowflake or comparable cloud data platforms.
• Solid understanding of dimensional modeling semantic layers data governance lineage data quality frameworks and production support practices.
• Experience supporting Power BI datasets semantic models or enterprise reporting environments.
• Ability to translate business requirements into scalable and maintainable data solutions.
• Strong analytical thinking problem-solving documentation and stakeholder communication skills.

Preferred Qualifications

• Experience with Spark PySpark Delta Lake lakehouse architectures or medallion data design patterns.
• Experience working with Finance FP&A SaaS metrics ARR reporting ERP systems or planning and forecasting data.
• Hands-on experience with Azure DevOps Git CI/CD pipelines and modern software engineering practices.
• Exposure to AI-enabled analytics Microsoft Copilot semantic model optimization or data agents.
• Understanding of data privacy financial controls risk management and governance requirements in enterprise environments.

What Makes You Successful

• Strong sense of ownership and accountability for delivering high-quality solutions.
• Passion for data quality accuracy and continuous improvement.
• Ability to simplify complex data challenges into scalable solutions.
• Strong collaboration and stakeholder engagement skills.
• Automation-first mindset with a focus on operational excellence and efficiency.
• Comfortable working in a fast-paced cross-functional environment where business impact matters.

Additional Information :

What Were Offering

• Salary Range: $78000 to $98000 annually bonus
• Flexible paid time off including sick and holiday
•  Medical dental & vision insurance
•  401K with Company contribution
•  Flexible spending accounts
•  Life insurance and disability benefits
•  Tuition assistance
•  Community involvement and volunteering events

M/F/Disabled/Vet VEVRAA Federal Contractor.  We are a Drug-Free Workplace. Interested candidates should apply at: qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. VEVRAA Federal Contractor Equal Opportunity Employer

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles while also valuing inclusive workplace experiences. By fostering a sense of community we drive innovation strengthen connections and nurture belonging. Our commitment ensures you can work in a way that suits you best while also engaging with colleagues to share ideas and build meaningful relationships.

All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. VEVRAA Federal Contractor Equal Opportunity Employer

Remote Work :

No

Employment Type :

Full-time