Senior Data Engineer - PostgreSQL and MongoDB
CVS HEALTH
Remote · Work at Home, New York, United States · Posted October 22, 2026
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- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 165 open senior data engineer listings that state pay, the middle half runs $135,000 to $185,000 and the median is $151,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
We are looking for a Senior Data Engineer to design and support a near real-time transactional cache platform, enabling APIs and digital experiences. You will develop CDC pipelines, optimize data flows, and collaborate with cross-functional teams. Ideal candidates have strong expertise in PostgreSQL, MongoDB, and cloud-native data engineering.