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Senior Data engineer
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Senior Data engineer
- Austin, Texas, United States
- Austin, Texas, United States
Über
Position Summary We are seeking a highly skilled Senior Data Engineer – MongoDB to design and optimize scalable, high-performance data platforms supporting enterprise healthcare applications. This role focuses on MongoDB-based architectures, real-time data streaming, and cloud-native data engineering, enabling mission-critical systems such as Member Cache, Plan Cache, and analytics platforms.
The ideal candidate brings deep expertise in MongoDB Atlas, event-driven architectures, and large-scale distributed data systems, along with hands-on experience building production-grade data pipelines.
Responsibilities
Design and maintain MongoDB data models, collections, and indexing strategies for high-volume transactional and analytical systems
Build and optimize real-time data pipelines using Kafka, CDC, and streaming frameworks
Architect and manage MongoDB Atlas clusters (replication, sharding, high availability)
Develop and manage ETL/ELT pipelines integrating structured and unstructured data sources
Ensure data quality, governance, and compliance, including PII/PHI handling and encryption standards
Optimize query performance and database tuning
Implement monitoring, alerting, and observability for data platforms
Support production environments, including incident resolution and capacity planning
Collaborate with engineering, analytics, and product teams to deliver end-to-end data solutions
Required Qualifications
5+ years of experience in data engineering or distributed data systems
4+ years of hands-on experience with MongoDB (MongoDB Atlas preferred)
4+ years of experience in NoSQL data modeling, indexing, and aggregation pipelines
4+ years of experience designing MongoDB Atlas architectures (replication, sharding, high availability)
3+ years of experience with event-driven architecture and streaming (Kafka, CDC)
3+ years of experience building ETL/ELT and real-time data pipelines
Preferred Qualifications
Experience with MongoDB Change Streams, Atlas Data Streaming, and Vector Search
Experience integrating MongoDB with Kafka ecosystems (Kafka Connect, Streams)
Exposure to AI/ML pipelines or real-time analytics platforms
Experience in healthcare domain or CVS Health environments
Familiarity with GCP tools (GKE, Dataflow, BigQuery) or equivalent
Proficiency in Python or Java, including microservices development
Experience with cloud platforms (AWS, Azure, GCP)
Understanding of distributed systems and microservices architectures
Knowledge of data governance, security, and compliance (PII/PHI, HIPAA, encryption)
Experience with CI/CD pipelines and containerization (Docker, Kubernetes)
Education Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).
Business Overview Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities.
Anticipated Weekly Hours 40
Time Type Full time
Pay Range The Typical Pay Range For This Role Is $92,700.00 - $185,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Benefits Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments.
Application Window We anticipate the application window for this opening will close on: 07/07/2026
Equal Opportunity Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
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Sprachkenntnisse
- English
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