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MassMutualQuantitative Data Engineer
Quantitative Data Engineer developing data solutions and automations for MassMutual's investment management. Working with data orchestration tools within a collaborative team environment.
About the role
- Drive the technical strategy for data pipelines
- Collaborate on Capital One’s toughest issues to deliver on business needs
- Build awareness, increase knowledge and drive adoption of modern technologies
- Promote a culture of engineering excellence
- Effectively communicate with and influence key stakeholders across the enterprise
- Operate as a trusted advisor for a specific technology or platform
- Lead the way in creating next-generation talent for Tech
Requirements
- Bachelor’s Degree
- At least 9 years of experience in data engineering
- At least 5 years of experience in data architecture
- At least 3 years of experience in building applications in AWS
- At least 3 years of experience with Python, Scala, Java, or SQL
- At least 3 years of experience with Flink or Spark
- At least 3 years of experience with Kafka
- At least 3 years of experience with Delta Lake or Iceberg
- At least 3 years of experience building highly performant, highly resilient Big Data solutions
- Masters’ Degree (Preferred)
- 10+ years of experience in data engineering (Preferred)
- 3+ years of data modeling experience (Preferred)
- 2+ years of experience with ontology standards for defining a domain (Preferred)
- 3+ years of experience deploying machine learning models (Preferred)
- 1+ year of experience deploying Agentic AI solutions (Preferred)
- 3+ years of experience implementing big data processing solutions on AWS or other cloud providers (Preferred)
- 3+ years of experience with Snowflake or Databricks (Preferred)
- 3+ years of experience with Data Observability tooling (lineage, data quality, monitoring or alerting) (Preferred)
Benefits
- Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being
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