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Remote Azure Data Factory Jobs in Massachusetts (NOW HIRING)

Data Engineer (Remote)

Louisville, KY · On-site +1

$110K - $132K/yr

Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ingested, transformed, and delivered to Snowflake reliably for analytics * Implement monitoring, alerts ...

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ingested, transformed, and delivered to Snowflake reliably for analytics * Implement monitoring, alerts ...

Azure Architect

Boston, MA · Remote

$69 - $90/hr

... Remote Apps etc. Experience and understanding of security requirements for cloud like IAM, Web Application Firewalls, Data protection etc. Experience in configuring RBAC for Azure Resource Groups ...

DevOps Engineer - Azure

Webster, MA · Remote

$54.50 - $74.75/hr

... to tools, data sources, and internal systems. * Awareness of the limitations and risks of AI ... Remote-first and async-friendly with flat organizational structure * High bar for engineering ...

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 ... CI/CD (GitHub/GitLab/Azure DevOps), testing (pytest), and observability (logs/metrics). Nice to ...

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Strong understanding of data governance, privacy, security, and model risk management. * Prior ... Python, Azure Machine Learning, or related AI/ML tooling. * Experience with MLOps/LLMOps ecosystems ...

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Remote Azure Data Factory information

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 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 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 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 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:
Data Engineer (remote)

$82K - $122K/yr

Full-time

Medical, Dental, Life, Retirement

Posted yesterday


Job description

Human Services Research Institute (HSRI) is seeking a full-time Data Engineer. The Data Engineer will support the growth of leading-edge health and human service data projects that use data to transform care across the nation. This role is responsible for working simultaneously on more than one project within a team that includes technical experts, data engineers, data scientists, research associates, project managers, and subject matter experts – to achieve project goals and deliverables. 


The Data Engineer is responsible for designing, building, and optimizing scalable data solutions that support organizational analytics, reporting, and data quality initiatives. This role works independently on complex data engineering tasks and owns end-to-end data pipelines, integrations, and performance optimization using SQL, Python, and Microsoft Azure technologies.


Who We Are 

HSRI is a nonprofit organization that conducts research and evaluation to improve health and human service systems. We work at the local, state, and federal levels. Our goal is to help public agencies understand and demonstrate the real-world impact of the services they provide, helping them transform their policies and practices to address root causes of disparities and improve health outcomes. 


Our teams have an unwavering commitment to envisioning equitable policies and solutions that create a stronger society for us all. HSRI is an equal opportunity employer and is committed to building a diverse team, bringing as many possible perspectives as possible to bear on services that can profoundly affect people’s health and well-being by addressing social determinants of health. We are committed to building an inclusive environment where people of all backgrounds can come to do their best work.


What We’re Looking For

HSRI is looking for an individual who thrives in a fast-paced environment, works collaboratively, and respectfully engages with diverse perspectives. The ideal candidate can build trusted relationships with internal teams, clients, community organizations, and other partners; understand their goals and challenges; recommend practical solutions; and partner with internal teams to deliver high-quality results on time and within budget.

 

Responsibilities

  • Design, develop, and maintain scalable data pipelines and automation workflows
  • Own and optimize ETL/ELT processes using SQL, Python, and Azure data technologies
  • Develop and maintain REST APIs and other data integration mechanisms
  • Integrate new and external data sources into production data environments
  • Monitor, test, and optimize data systems for performance and reliability
  • Define and implement data quality checks and reporting frameworks
  • Design and maintain dashboards, scorecards, and reports
  • Collaborate with cross-functional teams to improve data systems
  • Mentor Associate Data Engineers
  • Attend staff, team, and other required meetings and trainings

 

Minimum Qualifications

  • Bachelor’s degree in computer science, information systems, or related field (or equivalent experience)
  • 3–5 years of experience in data engineering or related roles
  • Strong proficiency in SQL and Python
  • Experience with Azure data services and data pipeline design
  • Experience building and optimizing data pipelines, architectures, and datasets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Excellent attention to detail
  • Awareness of DevOps and Agile principles
  • Intermediate to advanced expertise with RESTful APIs, XML, JSON, C#, JavaScript, jQuery, and Azure Data Factory
  • Promote teamwork and team-building

 

Location 

This is a remote position with an option to work from our Cambridge, MA, office, which is accessible by public transportation. HSRI does not permit remote work arrangements based in the U.S. Virgin Islands, Puerto Rico, and outside the United States. Must have unrestricted authorization to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa.

 

Hours

  • Full-time, Monday-Friday, 40 hours per week
  • This position allows flexibility in core hours 


Additional Information

HSRI offers a comprehensive benefits package which includes: 

  • Health 
  • Dental 
  • Short- and long-term disability 
  • Life Insurance 
  • 403(b) retirement plan 
  • Flexible spending accounts 
  • Education assistance program
  • 10 paid holidays
  • Remote work stipends (e.g., home office improvements, internet/mobile services) 


Salary Range

$82,100-$122,150

Pay is commensurate with skills and experience. 

HSRI is committed to pay equity in providing employees with equal pay for equal work and carefully considers a wide range of compensation factors, including, but not limited to, prior experience, education, certification(s), license(s), skills, expertise, location, internal equity, and other factors that are job-related and consistent with the organization’s needs. Our offer of employment takes into consideration total compensation, including benefits.

For more information on HSRI, please visit www.hsri.org.

How to Apply 

Interested candidates are encouraged to submit a cover letter and resume/CV through HSRI’s Career Center. 

You can copy/paste the URL into your browser: https://workforcenow.adp.com/mascsr/default/mdf/recruitment/recruitment.html?cid=9199cf31-c52e-4b8f-b6c1-bfd2a6cce9e0&ccId=9201183405653_2&type=JS&lang=en_US&selectedMenuKey=CareerCenter

You can also mail materials to:  

Attention: Human Resources 

Human Services Research Institute 

2336 Massachusetts Ave. 

Cambridge, MA 02140 

No phone calls or email inquiries, please.