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Senior Cloud Data Engineer Jobs (NOW HIRING)

SysMind Tech

Senior Cloud Data Engineer

Manhattan, NY · On-site +1

$116K - $158K/yr

SysMind is seeking an experienced cloud data engineer to join our team. This position will be mainly tasked with transforming data into useful data systems by developing, maintaining and testing ...

Monitise

Senior Cloud Data Engineer

Omaha, NE · On-site

$101K - $137K/yr

Job Title Senior Cloud Data Engineer About your role: At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. You will play a critical role in designing ...

Fiserv, Inc.

Senior Cloud Data Engineer

Omaha, NE · On-site

$101K - $137K/yr

Job Title Senior Cloud Data Engineer About your role: At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. You will play a critical role in designing ...

Monitise

Senior Cloud Data Engineer

Alpharetta, GA

$103K - $140K/yr

Job Title Senior Cloud Data Engineer About your role: At Fiserv, we are dedicated to transforming financial services technology to benefit our clients. You will play a critical role in designing ...

Noblesoft Technologies

Cloud Data Engineer

Minneapolis, MN · Remote

$57 - $76.25/hr

Job Role - Cloud Data Engineer Location - Minneapolis, MN(Remote) Job Details: * Minimum of 5+ years of experience as a Cloud Data Engineer. * * Hands-on experience with Azure Cloud data tools (ADF ...

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How much do senior cloud data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior cloud data engineer in the United States is $126,328.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $144,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Senior Cloud Data Engineers when migrating on-premises data systems to the cloud?

Senior Cloud Data Engineers often encounter challenges such as ensuring data integrity and security during migration, minimizing downtime, and handling compatibility issues between legacy systems and cloud platforms. They also need to optimize data pipelines for scalability and cost-effectiveness in the new environment. Close collaboration with stakeholders from IT, security, and business units is crucial to align migration goals and manage expectations throughout the process.

What are Senior Cloud Data Engineers?

Senior Cloud Data Engineers are experienced professionals who design, build, and maintain data processing systems on cloud platforms. They are responsible for creating scalable, secure, and efficient data pipelines and ensuring data is accessible for analysis and reporting. These engineers often work with tools and services from cloud providers like AWS, Azure, or Google Cloud, and collaborate closely with data scientists, architects, and other stakeholders. Their expertise in both cloud infrastructure and data engineering allows organizations to leverage large volumes of data for business insights.

What are the key skills and qualifications needed to thrive as a Senior Cloud Data Engineer, and why are they important?

To thrive as a Senior Cloud Data Engineer, you need advanced expertise in data engineering, cloud platforms (such as AWS, Azure, or Google Cloud), programming languages (like Python or Scala), and a strong foundation in database technologies. Proficiency with cloud-based tools (e.g., AWS Glue, Azure Data Factory), big data frameworks (such as Spark or Hadoop), and relevant certifications (like AWS Certified Data Analytics) is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help you excel in designing and optimizing complex data solutions. These skills ensure scalable, secure, and efficient data pipelines that support business analytics and innovation.

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

AspectSenior Cloud Data EngineerCloud Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced certifications (e.g., AWS Certified Data Analytics), and expertise in cloud platformsEntry to mid-level experience, foundational certifications, and basic cloud platform knowledge
Work EnvironmentDesigns and oversees complex data pipelines, mentors junior staff, and handles high-level architectureBuilds and maintains data pipelines, performs data integration, and supports data operations
Employer & Industry UsageUsed in large enterprises, tech companies, and data-driven organizationsCommon in startups, mid-sized companies, and organizations adopting cloud data solutions

The main difference between a Senior Cloud Data Engineer and a Cloud Data Engineer lies in experience, responsibilities, and expertise. Senior roles involve leadership, complex architecture, and mentorship, while Cloud Data Engineers focus on building and maintaining data pipelines. Both roles are essential in cloud data environments, but senior positions require more advanced skills and strategic oversight.

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Senior Cloud Data Engineer jobs near you
Sr. Cloud Data Engineer

Sr. Cloud Data Engineer

Accenture Federal Services

Tysons Corner, VA • On-site

$106K - $144K/yr

Other

Posted 15 hours ago

Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

45th of 426 rated business services

Job description

As a Sr. Cloud Data Engineer, you'll work with team members to build, deploy, and operate data pipelines and data engineering components to enable data brokering and exchange capabilities across a diverse range of producers and consumers.

Responsibilities:

In this role, you will be responsible for building robust, scalable data pipelines while working collaboratively with cross-functional teams to ensure seamless integration, optimized performance, and efficient delivery of solutions.

  • Work with team members to operationalize data pipelines and supporting cloud infrastructure
  • Collaborate with external data producers and consumers to obtain and provide data through interfaces such as REST APIs and S3
  • Provide day-to-day support of deploying Python-native data pipelines and performing data engineering tasks to enable data brokering and exchange capabilities 
  • Provide Tier 2/3 troubleshooting and incident resolution support for data pipelines in Production
  •  

What you'll need to succeed: 

  • 4 years of proven experience in data engineering, with expertise in designing, developing, and maintaining data ingestion, transformation, and loading pipelines and components
  • Demonstrated experience in designing and deploying data pipelines leveraging AWS cloud infrastructure across multiple classification domains (e.g., IL5 to IL6+)
  • Experience with Infrastructure-as-Code (IaC) tools, including Terraform, CloudFormation, or Ansible, to automate deployment of data pipeline cloud infrastructure
  • Understanding of RMF security principles and hands-on experience implementing security controls for data pipelines in cloud environments
  • Strong scripting and programming skills in languages such as Go, Python, and Bash
  • Experience with data pipeline tools and technologies such as Nifi, Hadoop, HDFS, and Kafka.

Nice to have:

  • Experience implementing data pipelines in the Cloudera Data Platform environment is highly preferred.
  • Strong communication skills, with the ability to clearly convey complex technical concepts

Clearance:

  • An active TS/SCI with polygraph is required

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