Data Engineer

  • Springfield, MA


: $91,060.00 - $134,310.00 /year *

Employment Type

: Full-Time


: Information Technology

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At MassMutual, we---re passionate about helping millions of people find financial freedom and this passion has driven our approach to developing meaningful experiences for our customers. The Data Engineering team, part of the Enterprise Technology and Experience, is comprised of highly skilled, collaborative, problem solvers who are motivated to create innovative solutions that exceed the changing needs of our customers and move MassMutual --\" and the industry --\" forward.

To continue our cutting-edge work, we are hiring an Advanced Data Engineer to join our team.

What great looks like for this role:

Our ideal Advanced Data Engineer is a collaborative leader skilled in designing and constructing highly scalable data management systems. You---re also committed to data integrity, are highly analytical, and can work on multiple projects at once. You---ll use your skills to develop, monitor, and manage data systems across our platform. Additionally, you will act as a mentor to junior team members and coach them on best practices and engineering standards. The team culture of working collaboratively, cross-functionally, using new technologies combined with the work/life balance provided by MassMutual are core reasons people enjoy working on the Data Engineering team at MassMutual.

Objectives of this role:
  • Design, construct, install, test and maintain highly scalable data management systems.
  • Ensure systems meet business requirements and industry practices.
  • Design, build, and maintain a high-performance streaming and messaging platforms to support the enterprise.

Daily and Monthly Responsibilities:
  • Design, build, and maintain a high-performance streaming and messaging platforms to support the enterprise.
  • Create messaging standards for our messaging platforms.
  • Develop tools and processes to support the platform.
  • Create custom software components (e.g. specialized UDFs) and analytics applications.
  • Work across departments and business units to define patterns and data needs.
  • Translate high-level business requirements into technical specs.

Basic Qualifications:
  • Bachelor---s degree in computer science or engineering.
  • 4+ years of experience with designing and building data platforms.
  • 3+ years of experience with streaming/messaging platforms (Kafka, MQ, RabbitMQ, etc)
  • 3+ years of coding and scripting (Python, Java, Scala) and design experience.
  • Expertise in tuning and troubleshooting streaming/messaging platforms.
  • Experience with ELT methodologies and tools.
  • Strong data integrity, analytical and multitasking skills.
  • Excellent communication, problem solving, organizational and analytical skills.
  • Able to work independently.
  • Authorized to work in the USA with or without sponsorship.

Preferred Qualifications:
  • Ability to setup and maintain a Kafka Cluster
  • Experience with Spark
  • Experience with designing an automating deployment process (CI/CD)
  • Basic knowledge of database technologies (Vertica, Redshift, etc)

- provided by Dice
Associated topics: data analyst, data analytic, data architect, data engineer, data manager, etl, erp, hbase, mongo database, mongo database administrator

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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