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Remote Internship Data Engineering Jobs in Massachusetts

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

The ideal candidate will have a strong background in data engineering principles, experience with ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Lorven Technologies

Data Engineer with AI - Remote

Boston, MA · On-site +1

$124K - $149K/yr

Data Engineer + AI Work location : Boston, MA Duration: 12 Months Job Summary: We're looking for a ... You'll design robust ETL/ELT, enable feature engineering for ML/LLM use cases , and drive best ...

Manulife

Data Engineer

Boston, MA · Remote

$137K/yr

This position is eligible for fully remote work from any location in the United States. Minimum ... Master's degree or foreign equivalent in Computer Science, Electrical Engineering, Electronic ...

New

Tiger Analytics Inc.

Data Architect

Westwood, MA · Remote

$71.25 - $91.75/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Partner with product owners, domain architects, and data engineering teams to translate business ...

Tempus

Data Architect, Next Platform

Boston, MA · On-site +1

$150K - $200K/yr

Educate engineering and clinical teams on data modeling standards, governance, and best practices ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

Yes Energy

Director of Engineering

Boston, MA · On-site +1

$175K - $200K/yr

Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the ... Boston, MA; or remote * Full-Time * Hybrid or Remote * Reports to: Vice President, Engineering ...

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All JobsData Engineering JobsRemote Internship Data Engineering JobsRemote Internship Data Engineering Jobs in Massachusetts

Remote Internship Data Engineering information

What is the difference between Remote Internship Data Engineering vs Remote Internship Data Analyst?

AspectRemote Internship Data EngineeringRemote Internship Data Analyst
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentCollaborative teams, cloud platforms, coding tasksData reporting, analysis, visualization
Industry UsageTech, finance, healthcareMarketing, retail, finance

Remote Internship Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring coding and technical skills. In contrast, Remote Internship Data Analyst emphasizes analyzing data, creating reports, and visualizations. Both roles often share similar credentials but differ in daily tasks and technical depth, making them distinct yet related internship opportunities in data careers.

What are the most commonly searched types of Remote Data Engineering jobs in Massachusetts? The most popular types of Remote Data Engineering jobs in Massachusetts are:
What are popular job titles related to Remote Internship Data Engineering jobs in Massachusetts? For Remote Internship Data Engineering jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Internship Data Engineering jobs in Massachusetts look for? The top searched job categories for Remote Internship Data Engineering jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Internship Data Engineering jobs? Cities in Massachusetts with the most Remote Internship Data Engineering job openings:
Remote Internship Data Engineering jobs near you

AI Data Engineer

C the Signs

Boston, MA • On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 17 days ago

Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it's about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.

Apply