Data Software Engineer

    • Mass Mutual Financial Group
  • Boston, MA
  • Posted 13 days ago | Updated 10 hours ago

Overview

On Site
USD 131,100.00 - 172,000.00 per year
Full Time

Skills

Amazon Web Services
Data Analysis
Real-time
Data storage
Open source
Big data
Apache Spark
Apache Storm
Apache Kafka
Product management
Cloud computing
Data collection
Software development
Data flow
Technical Support
Data structure
Software engineering
Unit testing
Design documentation
Computer science
Data processing
Problem solving
Data warehouse
Version control
IBM Cognos TM1
Data
Analytics
Storage
FOCUS
Transformation
Reporting
Analytical skill
API
Specification
Automation
Testing
Extract
transform
load
Quality assurance
Agile
Collaboration
Algorithms
Java
Scala
SQL
PostgreSQL
MySQL
Oracle
NoSQL
Vertica
Amazon Redshift
Apache Cassandra
Amazon DynamoDB
Celery
Amazon Kinesis
RabbitMQ
ROOT
Git
Design
Finance
Insurance
SAP BASIS

Job Details

Our Enterprise Data Analytics Platform (EDAP) is designed to explore and extract insights that our customers depend upon. Being the primary source for analytics, our customers both internal and external depend upon us to provide accurate, real-time, and fault tolerant solutions to their ever-growing data needs. The Enterprise Data Analytics Platform builds highly performant scalable analytics solutions varying from data storage systems to computation and serving solutions. We utilize a plethora of open source and industry accepted technologies for our big data problems such as Apache Spark, Apache Storm, Amazon Web services, and Apache Kafka.

We are looking for a skilled Software Engineer with an eye for building and optimizing distributed systems to join our team. From data ingestion, processing and storage, to serving and scale, we work closely with other engineers and product management to build consistent and highly available systems that tackle real world data and scale problems.
This role is scoped as an individual contributor.
Responsibilities:
Focus on the development of cloud computing infrastructure, and help build, distribute, scale and optimize these technologies
Designs and implements cloud scale distributed data-focused Data Analytics Platform, services and frameworks including solutions to address high-volume and complex data collection, processing, transformation and reporting for analytical purposes
Writes code and unit tests, works on API specs, automation, and conducts code reviews and testing
Develop scalable, robust, and highly available services related to our data platform
Implement new features and optimize existing ones to drive maximum performance
Owns technical aspects of software development and identifies opportunities to adopt innovative technologies.
Identifies continuous improvements for service availability
Evaluates and recommends tools, technologies and processes to ensure that the services that the team provides achieve the highest standards of quality and performance
Debugs and troubleshoots problems in data flow, lineage, transformation and other stages of the ETL pipelines.
Collaborates with other peer organizations (e.g., Business Analyst, Data Modeler, QA, SRE, technical support, etc.) to prevent and resolve technical issues and provide technical guidance.
Work in Agile development environment. Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers

Basic Qualifications:
  • Bachelor's degree
  • 5 years of meaningful experience
  • A strong level of curiosity paired with the ability to get things done.
  • Strong algorithms, data structures, and coding background.
  • Experience with software engineering standard methodologies (e.g. unit testing, code reviews, design document)
  • Java or Scala or other programming experience
  • Strong in SQL
  • Experience building products using 1 of the following distributed technologies:
  • Relational Stores (i.e Postgres or MySQL or Oracle)
  • Columnar or NoSQL Stores (i.e Vertica or Redshift or Cassandra or DynamoDB)
  • Distributed Processing Engines (i.e Apache Spark or Apache Storm or Celery)
  • Distributed Queues (i.e Apache Kafka or Kinesis or RabbitMQ)
  • Has worked with systems processing large amounts of data
  • Has worked with partner data scientist, data analysts and other domain experts to understand their needs and be able to develop solutions
  • Experience working with AWS or similar cloud platform technologies
  • Authorized to work in the United States with or without sponsorship.

Preferred Qualifications:
  • Bachelor's degree in Computer Science preferred
  • 8 years of meaningful development, experience is preferred
  • Knowledge of open source/industry standard data processing, storage, and serving technologies.
  • Ability to take proactive, problem-solving/troubleshooting approach to identifying the root cause of issues and solving problems
  • Working with Data Warehousing is a plus
  • Experience with source control systems, Git preferred
  • Must be able to quickly grasp the platform/application overarching design and ensure development is executed in accordance with the present design
  • Ability to drive change through persuasion and consensus
  • Experience in Financial/Insurance industrial


#LI-TM1
MassMutual is an Equal Employment Opportunity employer Minority/Female/Sexual Orientation/Gender Identity/Individual with Disability/Protected Veteran. We welcome all persons to apply. Note: Veterans are welcome to apply, regardless of their discharge status.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.
EEO Statement (Opens in new window)
MassMutual will accept applications on an ongoing basis until such time as a candidate has been offered employment.
Salary Range: $131,100.00-$172,000.00