Senior Software Development Engineer

Position Summary

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.

• Design and develop scalable, cloud-native data pipelines on GCP using Big Query, Dataflow, Cloud Composer (Airflow), Pub/Sub, and Cloud Functions.
• Build optimized Big Query data models for Finance datasets (Actuals, Plan, Forecast, Headcount, Allocations).
• Implement CDC and batch ingestion patterns from SAP S/4
  
  HANA, BW, and subledger systems into Big Query.
• Develop reusable data frameworks, SQL transformations, and orchestration pipelines following engineering best practices.
• Translate Finance and Accounting requirements (GL, AP, AR, P&L, Balance Sheet, Cash Flow, Cost Centers, Profit Centers) into scalable data models.
• Support driver-based planning use cases (e.g., headcount, volume, rate drivers) for integration with tools like Anaplan and SAP Analytics Cloud.
• Enable reconciliation, traceability, and drill-through between source systems and analytical datasets.
• Partner with Finance stakeholders to ensure semantic consistency and financial accuracy.
• Implement data quality checks, controls, and monitoring aligned with SOX and internal audit requirements.
• Enforce data governance standards including metadata, lineage, naming conventions, and access controls.
• Design datasets that support audit trails, period close validation, and reconciled reporting.
• Enable consumption of finance datasets by SAP Analytics Cloud (SAC), BI tools, and planning platforms.
• Support performance optimization for high-volume financial data and complex queries.
• Collaborate with Data Science and AI teams to enable AI/ML use cases on curated finance data.
• Implement CI/CD pipelines for data workflows using Git-based version control.
• Monitor and optimize GCP cost, performance, and reliability for finance workloads.
• Participate in production support, incident resolution, and operational readiness activities.

• 3+ years on Google Cloud Platform (GCP).
• Strong hands‑on experience with Big Query (SQL, performance tuning, partitioning).
• Experience building pipelines using Cloud Composer (Airflow), Dataflow, or equivalent.
• Solid understanding of Finance & Accounting concepts (Actuals vs Plan, GL structure, P&L, Balance Sheet).
• Experience integrating SAP Finance data (S/4
  
  HANA, BW, or ECC) into cloud data platforms.
• Proficiency in SQL and at least one programming language (Python preferred).

• Experience with SAP S/4
  
  HANA Finance, including integration with BW, SAC, or BPC.
• Experience in group reporting, management reporting, and planning transformation initiatives.
• Knowledge of ABAP debugging, AMDP routines, FOX formulas, BAdIs, or HANA‑based modeling.
• Experience with hybrid SAP landscapes involving cloud and on‑premise data sources.
• Familiarity with data governance, authorization design, and row‑level security.
• Experience in Agile delivery models, Dev Ops practices, and release management.
• SAP certifications in BW/4
  
  HANA, SAC, or BPC are a plus.

Bachelor’s degree in computer science, Information Systems, Engineering, Finance, or related field.

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$83,430.00 – $