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Cloud Data Engineer Jobs (NOW HIRING)

State Street Corporation

Cloud Data Engineer, AVP

Boston, MA · On-site

$90K - $157K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Cloud Data Engineer, AVP, you will design, develop and deliver scalable cloud data solutions using Databricks and AWS . You will collaborate with technology and business partners to modernize ...

M&T BANK CORPORATION

Senior Cloud Data Engineer

Buffalo, NY · On-site

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a senior-level individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This ...

New

Hewlett Packard Enterprise

Cloud Data Engineer

San Jose, CA

$134K - $161K/yr

Cloud Data Engineer This role has been designed as ''Onsite' with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud ...

Kavaliro

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

The Cloud Data Engineer's responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud platforms. Oversee the creation and maintenance of data ...

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How much do cloud data engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for cloud data engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 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 storage solutions in cloud environments such as AWS, Azure, or Google Cloud. They work with big data tools, manage data security, and optimize data workflows to support analytics and business intelligence. Proficiency in programming, database management, and cloud services is essential for this role.
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Cloud Data Engineer jobs near you
Infographic showing various Cloud Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Cloud Data Engineer, AVP

State Street Corporation

Boston, MA • On-site

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

As a Cloud Data Engineer, AVP, you will design, develop and deliver scalable cloud data solutions using Databricks and AWS. You will collaborate with technology and business partners to modernize data platforms, develop reliable data, AI and machine learning pipelines, and help teams adopt secure, efficient, and cost-effective engineering practices.
Education and experience
  • Bachelor's degree in computer science, information systems, or a related field, or equivalent practical experience.
  • Five or more years of experience in data engineering, including hands-on work with cloud technologies.
  • AWS and/or Databricks certification is preferred but not required.

What you will be responsible for
  • Assess existing application and data infrastructure, identify improvement opportunities, and recommend cloud-based solutions that enhance performance, scalability, and reliability.
  • Define and document best practices for application deployment, cloud infrastructure, and production support.
  • Build reusable, efficient, and scalable data solutions, and develop cost-effective cloud migration strategies.
  • Design, develop, and optimize data engineering and machine learning pipelines in Databricks using AWS services such as Amazon S3, EC2, API services, RDS, Kinesis, Kafka, and Lambda.
  • Partner with IT teams and business stakeholders to migrate data engineering and machine learning applications to Databricks and AWS.
  • Manage competing priorities and deliver high-quality solutions within time-sensitive project schedules when needed.
  • Evaluate, learn, and support vendor products that contribute to the organization's data and cloud capabilities.
  • Quickly learn emerging technologies and develop proofs of concept to evaluate their value, feasibility, and potential for broader adoption.

What we value
  • Demonstrated decision-making, analytical, and problem-solving skills, with the ability to evaluate trade-offs and recommend practical solutions.
  • Strong understanding of Databricks architecture and hands-on experience with Databricks Data Engineering, Machine Learning, and SQL warehouses.
  • Strong programming experience in Scala, Python, and/or Java for data engineering workloads.
  • Strong knowledge of Medallion architecture, Delta Live Tables, and Unity Catalog within Databricks.
  • Knowledge of GenAI and Agentic AI is a plus.
  • Understanding of core AWS services, their use cases, and AWS architecture best practices.
  • Hands-on experience across relevant domains such as database architecture, business intelligence, machine learning, advanced analytics, and big data.
  • Strong knowledge of Apache Airflow for workflow orchestration.
  • Strong knowledge of CI/CD pipelines and deployment automation for AWS-based solutions.
  • Experience migrating relational databases, Java and Python applications, machine learning model code, and Elasticsearch-based solutions.
  • Experience with Docker and Kubernetes is preferred.
  • Curiosity and enthusiasm for learning new technologies, combined with a strong commitment to hands-on engineering.
  • Effective written and verbal communication skills, with the ability to explain technical concepts and collaborate with stakeholders and senior management.
  • Ability to perform data and system analysis, identify root causes, and translate findings into actionable recommendations.
  • Ability to adapt to changing priorities and work effectively in a collaborative, fast-paced environment.

Salary Range:
$90,000 - $157,500 Annual
The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.
Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.
For a full overview, visit https://hrportal.ehr.com/statestreet/Home.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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About State Street

Sourced by ZipRecruiter

State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

Social media

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