Senior Software Development Engineer

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.

Summary We are seeking a Senior GCP Developer with a strong Finance domain background to design, build, and operate cloud-native data solutions on Google Cloud Platform (GCP) supporting enterprise Finance use cases. This role partners closely with Finance, FP&A, Accounting, SAP functional teams, and analytics/planning teams to deliver scalable, governed, and audit-ready data pipelines and datasets. The ideal candidate combines deep GCP engineering expertise with hands-on finance knowledge (e.g., GL, P&L, Balance Sheet, subledger data, planning drivers) and experience integrating SAP S/4HANA Finance data into BigQuery to support reporting, planning, and advanced analytics.

Design and develop scalable, cloud-native data pipelines on GCP using BigQuery, Dataflow, Cloud Composer (Airflow), Pub/Sub, and Cloud Functions. Build optimized BigQuery data models for Finance datasets (Actuals, Plan, Forecast, Headcount, Allocations). Implement CDC and batch ingestion patterns from SAP S/4HANA, BW, and subledger systems into BigQuery. 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.

6+ years of experience in data engineering or cloud development, with 3+ years on Google Cloud Platform (GCP). Strong hands-on experience with BigQuery (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/4HANA, BW, or ECC) into cloud data platforms. Proficiency in SQL and at least one programming language (Python preferred).

Experience with SAP S/4HANA 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.