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Cloud Data Engineer Jobs in Boston, MA (NOW HIRING)

KYYBA Inc

Cloud Data Engineer

Quincy, MA · On-site

They are seeking a Cloud Data Engineer to design and develop data pipelines, cloud data architecture, and data warehousing solutions, while ensuring effective communication with stakeholders.

Apex Systems

Senior Cloud Data Engineer

Quincy, MA · On-site

$80 - $83/hr

Senior Cloud Data Engineer Client: Commonwealth of MA (EOHHS) Location: Quincy, MA (Hybrid) Duration: Thru 6/30/27 (with possibility of extension) Pay rate: $80-$83/hour Senior Cloud Data Engineer ...

Overture Partners

Senior Cloud Data Engineer

Boston, MA · On-site

$69 - $79/hr

Job Overview We are seeking an experienced Cloud Data Engineer for an urgent engagement supporting the design, development, and optimization of enterprise cloud data solutions. This role is ideal for ...

Talent Groups

Senior Cloud Data Engineer

Quincy, MA · On-site

$111K - $151K/yr

Job Summary We are seeking an experienced Senior Cloud Data Engineer to design, develop, and optimize scalable cloud data solutions and pipelines. The ideal candidate will have strong hands-on ...

New

ICS Global Soft INC

Senior Data Engineer

Boston, MA · On-site +1

$115K - $156K/yr

Then the data engineer will visualize thedata using Sisense (cloud data viz technology). If candidates do not have Sisense then Tableau and Qlik are okay. Idealcandidate will be strong in SQL, python ...

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All JobsCloud Data Engineer JobsCloud Data Engineer Jobs in Boston, MA

Cloud Data Engineer information

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$25

$68

$94

How much do cloud data engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for cloud data engineer in Boston, MA is $68.32, according to ZipRecruiter salary data. Most workers in this role earn between $58.22 and $77.84 per hour, depending on experience, location, and employer.

What is a cloud data engineer?

A Cloud Data Engineer is an IT professional who designs, builds, and manages scalable data infrastructure and pipelines in cloud environments. They work with cloud platforms like AWS, Google Cloud, or Azure to create systems that collect, process, store, and analyze large volumes of data. Their responsibilities include setting up data lakes and warehouses, ensuring data quality and security, and enabling data-driven applications. Cloud Data Engineers collaborate with data scientists, analysts, and other stakeholders to support business intelligence and analytics initiatives.

What are the key skills and qualifications needed to thrive as a cloud data engineer?

To excel as a Cloud Data Engineer, you need strong expertise in data modeling, ETL processes, programming languages like Python or SQL, and a solid understanding of cloud platforms such as AWS, Azure, or Google Cloud, often supported by a relevant degree and cloud certifications. Familiarity with tools like Apache Spark, Hadoop, cloud storage systems, and data pipeline orchestration frameworks is typically required. Strong problem-solving skills, attention to detail, and effective communication help you deliver scalable solutions and collaborate with cross-functional teams. These competencies are essential for building robust, secure, and efficient data infrastructure that supports business intelligence and analytics.

What are some common challenges a cloud data engineer faces when migrating data to the cloud?

Cloud Data Engineers often encounter challenges such as ensuring data security and compliance during migration, optimizing data pipelines for cloud performance, and managing data integrity across distributed systems. They must work closely with cross-functional teams to minimize downtime and avoid data loss, and frequently address issues related to data format compatibility and legacy system integration. Staying up-to-date with evolving cloud technologies and best practices is also essential for successful data migration projects.

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

AspectCloud Data EngineerData Analyst
Required CredentialsCloud certifications (e.g., AWS, Azure), SQL, programming skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, big data tools, data pipelinesData visualization, reporting, business insights
Employer & Industry UsageTech companies, finance, healthcare, cloud service providersMarketing, finance, retail, business intelligence

While Cloud Data Engineers focus on building and maintaining cloud-based data infrastructure, Data Analysts interpret data to provide business insights. Both roles require SQL skills, but Cloud Data Engineers emphasize cloud platforms and data pipeline development, whereas Data Analysts focus on data visualization and reporting.

What does a cloud data engineer do?

A cloud data engineer designs, builds, and maintains data pipelines and infrastructure in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data storage, and ensure data quality and security to support analytics and business decision-making.

What are the most commonly searched types of Cloud Data Engineer jobs in Boston, MA?

The most popular types of Cloud Data Engineer jobs in Boston, MA are:

What are popular job titles related to Cloud Data Engineer jobs in Boston, MA?

For Cloud Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Cloud Data Engineer jobs in Boston, MA look for?

The top searched job categories for Cloud Data Engineer jobs in Boston, MA are:

Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,104 per year, or $68.3 per hour.

Cloud Data Engineer

KYYBA Inc

Quincy, MA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Kyyba Inc is a global recruiting services provider dedicated to delivering high-quality resources for businesses. They are seeking a Cloud Data Engineer to design and develop data pipelines, cloud data architecture, and data warehousing solutions, while ensuring effective communication with stakeholders.
Responsibilities:
• 5+ years of experience in Design and development of Data pipelines, Cloud Data Architecture, Data warehousing, Data modeling, ETL, enterprise and business information system architectures, and system engineering
• Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles, specifically Decentralized data architectures like Data Mesh.
• 3-5 years of experience developing Cloud-based (AWS) data solutions.
• 5+ years of Cloud database platform experience such as Snowflake.
• Experience in creating and maintaining end-to-end data pipelines.
• Strong communication skills comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers.
• Proficiency with Unix, Linux, and shell scripting
• Experience working with a large, multi-terabyte enterprise data platform in Cloud.
• Clear understanding on system administration, database administration, storage architectures, backup & recovery, and networking.
• 3-5 years of experience in Informatica (IICS) ETL, GitHub(CI/CD) and Airflow (Orchestration) experience.
• Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls.
Qualifications:
Required:
• 5+ years of experience in Design and development of Data pipelines, Cloud Data Architecture, Data warehousing, Data modeling, ETL, enterprise and business information system architectures, and system engineering
• Thorough knowledge and Implementation experience of data warehouse and Enterprise Data architecture principles, specifically Decentralized data architectures like Data Mesh.
• 3-5 years of experience developing Cloud-based (AWS) data solutions.
• 5+ years of Cloud database platform experience such as Snowflake.
• Experience in creating and maintaining end-to-end data pipelines.
• Strong communication skills comfortable explaining/proposing solutions to technical stakeholders, vendors, and business consumers.
• Proficiency with Unix, Linux, and shell scripting
• Experience working with a large, multi-terabyte enterprise data platform in Cloud.
• Clear understanding on system administration, database administration, storage architectures, backup & recovery, and networking.
• 3-5 years of experience in Informatica (IICS) ETL, GitHub(CI/CD) and Airflow (Orchestration) experience.
• Experience working with highly sensitive health care information and familiar with HIPAA and other data privacy controls.
Preferred:
• Amazon Web Services (AWS) Certification or Cloud Data Engineer Certification
• Informatica (IICS) and Airflow (Orchestration) experience
• Snowflake certification
• Cognos and/or Tableau reporting experience
Company:
Kyyba, Inc. Founded in 1998, the company is headquartered in Farmington Hills, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
KYYBA logo

About KYYBA

Sourced by ZipRecruiter

About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Farmington Hills, MI, US

Year founded

1998

Social media

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