Senior Software Development Engineer

CVS HealthWork At Home-North Carolina, TX
$83,430 - $185,400Hybrid

About The Position

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. Position 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.

Requirements

  • 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).

Nice To Haves

  • 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.
  • Experience in Agile delivery models, DevOps practices, and release management.
  • SAP certifications in BW/4HANA, SAC, or BPC are a plus.

Responsibilities

  • 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.

Benefits

  • medical
  • dental
  • vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
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