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Remote Azure Data Factory Jobs in Massachusetts (NOW HIRING)

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

AI Data Engineer

Boston, MA ยท On-site +1

$124K - $149K/yr

Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Martech Platform Data Lead

Westwood, MA ยท On-site +1

$140K - $183K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... AWS, Azure, or Google Cloud. * Financial services/Banking or Regulatory data experience ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Data Scientist

Boston, MA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Exposure to cloud platforms such as AWS, Azure, Databricks, or similar environments. * Exposure to ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Strong Azure cloud experience. * Python/PySpark, Java programming. * Experience building UI with ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

Senior Data Scientist

Boston, MA ยท On-site +1

$140K/yr

This is a fully remote opportunity with hybrid available to those local to Boston. Gradient AI ... Familiarity with SQL, Relational databases, and cloud environments like AWS/Azure/Google/Databricks

Senior Manager, Data Security

Boston, MA ยท On-site +1

$124K - $170K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Build and maintain cloud data security controls across AWS, Azure, and GCP, including storage ...

Associate Dir, Full Stack Data Scientist

Cambridge, MA ยท On-site +1

$64K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)

Associate Dir, Full Stack Data Scientist

Cambridge, MA ยท On-site +1

$64K - $65K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote work arrangements will not be accommodated for this role. YOUR TASKS AND RESPONSIBILITIES ... Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)

DevOps Engineer

MA ยท On-site +1

$49.50 - $68/hr

... data authenticity. The ideal candidate is a self-starter, comfortable working in a remote ... Strong experience with cloud platforms such as AWS, Azure, or GCP. * Proficient in scripting (Bash ...

Business Applications Engineer

Rockland, MA ยท On-site +1

$90K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Compensation: $90,000 - $128,000 / year Description BCS365 is seeking a hands-on, client ... The pay range listed for this position is based on market data and reflects the company's good ...

Technical FinOps Analyst

Boston, MA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Azure Cost Management). * Analytical : Financial modeling, data analysis, SQL, and statistical ... Limited Geography Remote - This is a remote position but located within a specific geography. Must ...

Technical FinOps Analyst

Boston, MA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Azure Cost Management). * Analytical : Financial modeling, data analysis, SQL, and statistical ... Limited Geography Remote - This is a remote position but located within a specific geography. Must ...

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Showing results 21-40

Remote Azure Data Factory information

What is a remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What are the key skills and qualifications needed to thrive as a remote Azure Data Factory engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What are the most commonly searched types of Azure Data Factory jobs in Massachusetts?

The most popular types of Azure Data Factory jobs in Massachusetts are:

What are popular job titles related to Remote Azure Data Factory jobs in Massachusetts?

For Remote Azure Data Factory jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Azure Data Factory jobs in Massachusetts look for?

The top searched job categories for Remote Azure Data Factory jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Azure Data Factory jobs?

Cities in Massachusetts with the most Remote Azure Data Factory job openings:

AI Data Engineer

C the Signs

Boston, MA โ€ข On-site, Remote

$124K - $149K/yr

Full-time

Re-posted 22 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.