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Azure Data Engineer Jobs in Massachusetts (NOW HIRING)

Beghou Consulting

Data Engineer

Boston, MA · On-site

$124K - $149K/yr

Develop cloud-native data solutions on AWS and/or Azure. * Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.

The Phia Group

Data Engineer (Remote)

Canton, MA · On-site +1

$121K - $145K/yr

Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ... Solid programming skills in advanced SQL, Python, or other programming languages for data ...

Partners Capital

Senior Associate, Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... using Azure Data Factory (ADF) • Transform and manage data within Snowflake environments • Build AI agents and semantic views leveraging Snowflake Cortex AI • Apply data engineering best ...

Pwc

Data Engineer - Senior Manager

Boston, MA · On-site

$124K - $280K/yr

... Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Appex Innovation

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Need a snowflake data architect with Azure Cloud Experience and Agentic AI, Senior Data Architect ... engineers, analysts, and other stakeholders to gather requirements and translate them into ...

Deloitte

Senior Data Engineer

Boston, MA · Hybrid

$115K - $156K/yr

Design, develop and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks ... Define and enforce data engineering standards - naming conventions, partitioning strategies ...

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Showing results 21-40

All JobsAzure Data Engineer JobsAzure Data Engineer Jobs in Massachusetts

Azure Data Engineer information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do azure data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for azure data engineer in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

What is the difference between Azure Data Engineer vs Data Analyst?

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
What are the most commonly searched types of Azure Data Engineer jobs in Massachusetts? The most popular types of Azure Data Engineer jobs in Massachusetts are:
What are popular job titles related to Azure Data Engineer jobs in Massachusetts? For Azure Data Engineer jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Massachusetts look for? The top searched job categories for Azure Data Engineer jobs in Massachusetts are:
What cities in Massachusetts are hiring for Azure Data Engineer jobs? Cities in Massachusetts with the most Azure Data Engineer job openings:
Azure Data Engineer jobs near you
Infographic showing various Azure Data Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $141,666 per year, or $68.1 per hour.

Data Engineer

Beghou Consulting

Boston, MA • On-site

$124K - $149K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Beghou brings over three decades of experience helping life sciences companies optimize their commercialization through strategic insight, advanced analytics, and technology. From developing go-to-market strategies and building foundational data analytics infrastructures to leveraging artificial intelligence to improve customer insights and engagement, Beghou helps life sciences companies maximize performance across their portfolios. Beghou also deploys proprietary and third-party technology solutions to help companies forecast performance, design territories, manage customer data, organize, and report on medical and commercial data, and more. Headquartered in Evanston, Illinois, we have 10 global offices.

Our mission is to bring together analytical minds and innovative technology to help life sciences companies navigate the complexity of health care and improve patient outcomes.

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies, and AI-enabled development. In this role, you'll design, build, optimize, and support our next-generation AI-forward data platform, enabling scalable, secure, and high-performance data solutions that power advanced analytics and machine learning.

If you thrive in a collaborative environment and enjoy solving complex technical challenges.

 
We'll Trust you to:
  • Design, develop, optimize, and support Beghou's AI-forward data platform.
  • Build scalable data pipelines and ETL/ELT workflows using Databricks, Python, and PySpark.
  • Develop cloud-native data solutions on AWS and/or Azure.
  • Implement software engineering best practices, including CI/CD, version control, automated testing, and secure development practices.
  • Optimize data processing performance, reliability, and scalability.
  • Collaborate with data scientists, software engineers, and business stakeholders to deliver high-quality data products.
  • Apply cloud security and identity management best practices across the platform.
  • Evaluate and incorporate AI tools into development workflows to improve engineering productivity and solution quality.
  • Contribute to continuous improvement of engineering standards, architecture, and platform capabilities.
You'll need to have:
  • Bachelor's or advanced degree in Computer Science, Engineering, Data Science, Statistics, or a related quantitative field.
  • 3+ years of professional data engineering experience.
  • Strong programming experience with Python, including pandas and/or PySpark.
  • Hands-on experience with Databricks and modern cloud platforms (AWS and/or Azure).
  • Strong experience with relational databases such as PostgreSQL, Oracle, MySQL, Amazon Redshift, or Snowflake.
  • Experience using Git-based source control and modern CI/CD practices.
  • Experience with identity and access management technologies such as Azure AD, Okta, OAuth, or SAML.
  • Knowledge of cloud security best practices.
Preferred Qualifications
  • Experience with ETL platforms such as Azure Data Factory, Informatica, SnapLogic, or Boomi.
  • Experience with containerization technologies including Docker, Kubernetes, or AWS ECS.
  • Experience developing web applications using Flask, Django, JavaScript, HTML/CSS, or Ajax.
  • Experience incorporating AI-assisted development tools into engineering workflows.
  • Industry certifications such as:
  • Databricks Certified Data Engineer
  • AWS Certified Data Engineer
  • Microsoft Azure/Fabric Data Engineer
  • Google Cloud Professional Data Engineer
  • Experience in the life sciences, healthcare, or pharmaceutical industry.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including, but not limited to, skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Beghou, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions depend on the facts and circumstances of each case. A reasonable estimate of the current range is $85,000 to $105,000.
 
We are currently unable to consider candidates who require or will require sponsorship for work authorization in the future. Applicants must be authorized to work in the US on a permanent and ongoing basis without the need for current or future employer-sponsored work authorization.

At Beghou, you'll join a highly collaborative, values-driven team where technical excellence, analytical rigor, and personal growth converge. Whether you're passionate about AI innovation, building commercialization strategies, or shaping the next generation of data-first solutions in life sciences, this is a place to make an impact!

Compensation and Benefits:
Beghou Consulting offers a competitive compensation package and a full complement of benefits, including the following:

Health & Wellness
We provide comprehensive medical, dental, and vision insurance, as well as life & AD&D coverage, disability insurance, and a Lifestyle Wellness Account to help you feel your best.

Work-Life Balance
Our generous PTO, company holidays, and paid parental & bonding leave help you recharge and be present where it matters most. With a flexible hybrid work policy, you’ll enjoy the balance of in-person collaboration and remote flexibility.

Financial Wellness
We invest in your future with a 401(k) and employer match, tax-free commuter, health, and childcare accounts, and performance bonuses. You’ll also receive a monthly phone stipend and access to an employee discount program.

Growth & Giving Back
Through mentorship, training, and tuition reimbursement, we help you grow your career while supporting causes you care about with a charitable donation match.

Culture & Values
Collaboration, innovation, and inclusion define us. Here, you’ll join a community that values your ideas and celebrates your impact. 

Equal Opportunity Employer
We are committed to fostering an inclusive company culture that respects and promotes diverse backgrounds and points of view. We seek candidates who will add to our culture and support the company’s vision of a diverse, equitable, inclusive, and collaborative workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. We are proud to be an equal-opportunity employer. If you are excited about this role but do not meet 100% of the qualifications listed, we still encourage you to apply. You may be just the right candidate for this or other roles.

Must be legally authorized to work in the United States.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.