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Top Remote Data Engineer Jobs in Boston, MA

374+ Job Results
17 Days Ago
United States
Remote
7,509 Employees
Expert/Leader
7,509 Employees
Expert/Leader
Cloud • Information Technology • Software
As a Principal MLOps Engineer, you will architect and optimize ML inference platforms, collaborate with teams for engineering solutions, and lead high-performance teams in developing efficient inference systems.
Top Benefits:
401-K
Company Outings
Dental Insurance
+19 More
17 Days Ago
USA
Remote
689 Employees
Senior level
689 Employees
Senior level
Cloud • Marketing Tech • Sales • Software
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
Top Benefits:
401-K
Company Equity
Company Outings
+31 More
17 Days Ago
USA
Remote
1,288 Employees
Senior level
1,288 Employees
Senior level
Automotive • Other
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
17 Days Ago
United States
Remote
40 Employees
135K-175K Annually
Entry level
40 Employees
135K-175K Annually
Entry level
Software
As a Data Engineer at Archive, you will build data pipelines, develop AI use cases, architect data infrastructure, and improve reporting practices. You will work with large datasets and collaborate with various teams to solve complex problems and enhance product metrics.
17 Days Ago
USA
Remote
38 Employees
Entry level
38 Employees
Entry level
Software
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
17 Days Ago
USA
Remote
96 Employees
Senior level
96 Employees
Senior level
Software
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
17 Days Ago
US
Remote
1,398 Employees
Entry level
1,398 Employees
Entry level
Edtech
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
17 Days Ago
USA
Remote
56 Employees
160K-200K Annually
Mid level
56 Employees
160K-200K Annually
Mid level
Cybersecurity
The Security Data Architect will discover, design, and implement techniques to consume and analyze data from multiple sources to enhance Halcyon's anti-ransomware solution. Responsibilities include data cleaning, correlation, modeling, reporting, and suggesting improvements for data collection and storage effectiveness.
18 Days Ago
14 Locations
Remote
4,898 Employees
120K-140K Annually
Entry level
4,898 Employees
120K-140K Annually
Entry level
Digital Media • Fintech • Information Technology
The Data Editor will lead efforts to create and integrate data for WSJ Pro products, enhance data journalism, oversee datasets, and collaborate with bureau chiefs. They will facilitate the development of usable data for financial professionals and engage in data visualization strategies.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+21 More
18 Days Ago
US
Remote
225 Employees
210K-220K Annually
Senior level
225 Employees
210K-220K Annually
Senior level
Healthtech
The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.
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