Data Engineer Jobs

At MassMutual, we’re passionate about helping millions of people find financial freedom and this passion has driven our approach to developing highly interactive digital experiences for our customers. To help us achieve our mission, we are looking to hire data engineers for our Data Management and Engineering team.

What Great Looks Like In This Role

Our ideal Data Engineer is someone who is passionate about data.

You enjoy building data projects from the ground up and are equally comfortable working with business partners to understand requirements as you are developing and delivering robust solutions that meet the highest standards.

Learning new technologies and working in the cloud excite you.

You are team oriented and a strong communicator.

Objectives of the role

• Work in an Agile development environment, attending daily stand-up meetings and delivering incremental improvements
• Ingest data from disparate sources into the data lake and data warehouse
• Evaluate and recommend tools, technologies, processes and reference architectures
• Provide insight and direction to guide the future development of MassMutual’s data platform
• Collaborate closely with other developers and provide mentorship
• Cleanse and enrich data and apply adequate data quality controls
• Translate high-level business requirements into technical specs
• Develop re-usable tools to help streamline the delivery of new projects
• Design, build and maintain complex ELT jobs that deliver business value

Basic Qualifications

• ELT: Good understanding of ELT methodologies and tools
• Communication: Excellent communication, problem solving and organizational and analytical skills
• Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues
• Data: 5+ years of experience with data analytics and warehousing
• SQL: Good knowledge of SQL and query optimization
• Able to work independently and to provide leadership to small teams of developers
• Bachelor’s degree in computer science, engineering or a related field

Preferred Qualifications

• Master’s degree in computer science, engineering or a related field
• Python: Hands on experience developing with Python
• Cloud: Experience working in a cloud environment (e.g. AWS)
• Workflow: Good knowledge of orchestration and scheduling tools (e.g. Apache Airflow)
• Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka
• Reporting: Experience with data reporting (e.g. Microstrategy, Tableau, Looker) and data cataloging tools (e.g. Alation)