> Markdown version of [/jobs/ext/1729725-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/1729725-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** CVS Health - **Location:** Blue Bell, PA, United States - **Experience:** Expert - **Salary:** $92,700.0 - $222,480.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Data Analysis, Microsoft Azure, BigQuery, Cloud Engineering, Software Quality, Continuous Integration, Data as a Services, Information Engineering, Data Security, Data Systems, Cursor (Graphical User Interface Elements), DevOps, Data Flow Control, Python (Programming Language), Knowledge-Based Systems, Machine Learning, Cloud Services, DataOps, Systems Integration, Workflow Management Systems, Data Ingestion, Azure Data Factory, Sql Optimization, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Fastapi, Information Technology, AWS Glue, Machine Learning Operations, Api Design, Data Pipelines, Microservices - **Published:** July 10, 2026 - **Apply:** https://www.juju.com/job/00000000gf3uov ## About the Role We are seeking a Senior Data Engineer with a proven track record in delivering scalable cloud-native data pipelines, microservices, and AI-driven workflow orchestration to enable advanced analytics and intelligent automation., + 5+ years of hands-on experience as a Data Engineer, preferably in cloud environments + Proficiency in Python, with experience in Flask or FastAPI for API development + Strong understanding of microservices and cloud-native architectures (GCP preferred, Azure/AWS acceptable) + Solid knowledge of data ingestion and integration patterns + Advanced SQL skills for data analysis and pipeline development + Experience working with AI-based workflows Preferred Qualifications + Experience with orchestration tools such as Airflow or Dataflow + Familiarity with MLOps and deploying machine learning models + Knowledge of CI/CD and DevOps practices for data engineering + Experience with other cloud services (e.g., Pub/Sub, Cloud Functions, Vertex AI, Azure Data Factory, AWS Glue). + Understanding of RAG-based (Retrieval-Augmented Generation) knowledge systems and MCP (Model Context Protocol) for real world interaction + AI assisted Development with Copilot, Cursor AI, or Claude Code and skills in general Education + Bachelor's degree in Engineering, Computer Science, or a related field required + Master's degree with a focus on data, AI, or advanced analytics preferred ## Description + Design, develop, and maintain scalable cloud-native data pipelines and microservices (GCP preferred; Azure/AWS acceptable) + Build and optimize data ingestion, integration, and processing frameworks across diverse structured and unstructured data sources + Develop Python-based APIs (Flask/FastAPI) to enable seamless data access, model integration, and service orchestration + Implement advanced SQL-based analytics and transformations in BigQuery or other cloud data warehouse platforms + Architect, deploy, and manage AI/agentic workflows to support intelligent automation and decisioning + Orchestrate AI-driven pipelines integrating LLMs, agents, and data services for end-to-end workflow automation + Drive automation and continuous improvement of data operations using AI-powered orchestration and monitoring + Collaborate with cross-functional teams (Data Science, ML, and Product) to deliver scalable, secure, and production-grade AI-enabled data solutions. + Ensure best practices in data engineering and AI systems, including code quality, testing, observability, and documentation. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Got AI ideas but no money? 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