Boston Tech Jobs and Startup Jobs

2

Advanced Data Engineer

MassMutual
Greater Boston Area
2 days ago
+39
Our ideal Advanced Data Engineer is a collaborative leader skilled in data analytics, data modeling, and database design. 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 Analytics team at MassMutual. 

Data Engineer – Mastery

Data Engineer – Advanced

Jr. Data Engineer- Data Engineering Development Program

Information Risk Consultant Data Loss Prevention

Actuary - Pension Risk Transfer

Head of Data Modeling and Analysis

Information Systems Audit Consultant

Data Architect

Pension Actuary

Enterprise Data Strategy and Sourcing Lead

Digital Business Analyst

Actuary - Stable Value Products

Finance Business Intelligence Architect

Finance Data Engineer

Data Governance Consultant

Finance Data Architect

Data Privacy and Governance Lead

Enterprise Architect - Data

Business Analytics Consultant

Business Intelligence Developer

Data Modeler (Analytical Systems)

Finance Data Architect

Program Manager - Data and AI Governance

AI Ethics and Governance Lead

Senior Data Analyst

Lead Data Scientist

Lead Data Scientist

Lead Data Scientist

Load 10 more jobs29 jobs at MassMutual

Senior Data Engineer

Agero
Greater Boston Area
6 days ago
+23
Agero’s Data Science and Analytics team is developing a modern, cloud-based data platform to support our analytical products and machine learning pipelines. Our team is expanding and we are looking to add an experienced, self-motivated Senior level Data Engineer to help design and build out a curated, “single source of truth” data set that will feed a variety of downstream use cases including APIs, reports, dashboards, self-service tools, and modeling efforts. The platform will provide the Data Science and Analytics team along with the broader organization with a more secure, centralized, and reliable access to the company’s data. At the same time, it will reduce effort required to ingest new sources of data or to build new ETL processes to support new modeling or reporting use cases. 

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