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Senior Cloud Data Engineer Jobs (NOW HIRING)

NorthShore

Cloud Data Engineer

Skokie, IL · On-site

$41.64 - $64.54/hr

Cloud Data Engineer * Location: Skokie, IL / Arlington Heights, IL / Warrenville, IL (choice) * Full Time * Hours: Monday-Friday, 8:00am - 4:30pm * Hybrid Position Job Summary: The Cloud Data ...

Shift4

Senior AWS Cloud Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization's data-driven initiatives. We ...

Charles Schwab Inc.

Cloud Data Engineer

Southlake, TX · On-site

$32.79 - $67.07/hr

As a Data Engineer (Level 55), you will contribute directly to the development and optimization of data pipelines, data models, and cloud-native processing patterns that power analytics, regulatory ...

empyrean

Cloud Data Engineer

Houston, TX · Remote

$109K - $131K/yr

We are building the next generation of our enterprise data platform and are seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL ...

Empyrean

Cloud Data Engineer

Houston, TX · On-site

$109K - $131K/yr

We are building the next generation of our enterprise data platform and are seeking a Cloud Data Engineer to architect, develop, and optimize large-scale, cloud-native data warehousing and ETL ...

Charles Schwab

Cloud Data Engineer

Southlake, TX

$52.50 - $70.25/hr

As a junior platform engineer, you will help expand and operate the cloud infrastructure, CI/CD tooling, orchestration layers, and Snowflake resources that support all SAMDA tenants. The SAM Data ...

Shift4

Senior AWS Cloud Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

They are seeking a Senior AWS Cloud Data Engineer to design, develop, and maintain robust data infrastructure solutions to support the organization's data-driven initiatives while collaborating with ...

Shift4

Senior AWS Cloud Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization's data-driven initiatives.

Shift4

Senior AWS Cloud Data Engineer

Las Vegas, NV · On-site

$101K - $137K/yr

As a Senior AWS Cloud Data Engineer, you will be responsible for designing, developing, and maintaining robust data infrastructure solutions to support the organization's data-driven initiatives.

Shift4

Senior AWS Cloud Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

They are seeking a Senior AWS Cloud Data Engineer to design, develop, and maintain robust data infrastructure solutions to support the organization's data-driven initiatives. Responsibilities : • ...

Shift4

Senior AWS Cloud Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

They are seeking a Senior AWS Cloud Data Engineer to design, develop, and maintain robust data infrastructure solutions, collaborating closely with cross-functional teams to ensure system ...

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Senior Cloud Data Engineer information

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$81K

$126.3K

$175K

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

Senior Cloud Data Platform Engineer

Fidelity Investments

Westlake, TX • On-site

$101K - $138K/yr

Full-time

Posted 12 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 264 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Job Description:Note: Fidelity will not provide immigration sponsorship for this position.Senior Cloud Database Platform EngineerThe Role

Fidelity is seeking a Senior Cloud Database Platform Engineer to join our Enterprise Data and AI Database Platform team. As a Senior Cloud Database Platform Engineer, you are skilled in multiple databases, database administrative services and replication, cloud data platforms, CI/CD and Dev Assist tools, and developing IAC automation pipelines using CFT and OpenTofu.


The Expertise and Skills You Bring
  • BS in Computer Science, Information Systems, Information Technology or equivalent desirable.
  • Expertise and experience in at least two of the following: Postgres, Oracle, AeroSpike, Yugabyte, or other NoSQL or Open Source platforms.
  • Experienced with managing DB in cloud platformsprimarily on AWS, Azure including managed services in RDS and Azure Flex.
  • Experience in DB performance analysis and SQL tuning, both in Oracle and other RDBMS.
  • Experience in managing Data tools such as Golden Gate, RAC, Q Rep, dataguard, and other replication tools.
  • Scripting experience preferred.
  • Experienced working with Jenkins, Artifactory and Dev Assist tools.
  • Prefer Ability to develop automation pipelines using CFT and Open Tofu.
  • Ability to quickly diagnose the problem areas and come up with solutions and/or workarounds
  • Participate in 24X7 on call rotation schedule for various production support, database maintenance, housekeeping and installs
  • Work with enterprise teams - Systems Administrators, Cyber Security and Capacity Planning groups - as and when situation demands.
  • Self-motivated with strong team, interpersonal and communication skills.
  • Ability to work well in a team environment, as well as maintaining a flexible attitude.
The Team


Enterprise Data and AI Database Platform area is responsible for supporting a wide range of Enterprise functions including Database Operations, Analytical Platform Support, Database and Middleware Engineering, and Enterprise Data Tool Operations. We support a wide range of technologies in On Prem, AWS, and Azure.

Certifications:Category:Information Technology

Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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