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Cloud Data Engineer Jobs (NOW HIRING)

JConnect Infotech

Cloud Data Engineer

Seattle, WA · On-site

Cloud Data Engineer Location: Seattle, WA / Dallas, TX Duration: Fulltime Must Have Technical/Functional Skills • 5+ years of experience building platforms and data products • 5+ years of ...

Redwood Credit Union

Cloud Data Engineer

Napa, CA · On-site

$115K - $151K/yr

Cloud Data Engineer Redwood Credit Union is looking for a Cloud Data Engineer, responsibilities include designing, implementing, and managing data solutions on Microsoft Azure and other cloud ...

Amway Inc.

Cloud Data Engineer

Ada, MI

$92K - $113K/yr

... Data Engineer to support the modernization of our enterprise data platform as we continue migrating from on‑premise systems to a cloud‑native architecture on Google Cloud Platform (GCP) . This is ...

Samprasoft

Google Cloud Data Engineer

Pine Bluff, AR · On-site

$101K - $121K/yr

Senior Data Engineering Google Cloud Platform (GCP) It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the ...

Hewlett Packard Enterprise

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

Hewlett Packard Enterprise

Cloud Data Engineer

San Juan, PR · Hybrid

$112K - $134K/yr

Cloud Data Engineer This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global ...

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Cloud Data Engineer information

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How much do cloud data engineer jobs pay per hour?

As of Jul 7, 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 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 are the key skills and qualifications needed to thrive as a Cloud Data Engineer, and why are they important?

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 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.
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Cloud Data Engineer jobs near you
Cloud Data Engineer

Cloud Data Engineer

JConnect Infotech

Seattle, WA • On-site

Other

Posted 14 days ago

Job description

Cloud Data Engineer

Location: Seattle, WA / Dallas, TX

Duration: Fulltime

Must Have Technical/Functional Skills

• 5+ years of experience building platforms and data products

• 5+ years of experience working with data and data warehousing business solutions

• 5+ years of experience with cloud-platform technologies (AWS, Azure, GCP)

• AWS data engineering services (Glue, Lambda, Redshift), data modeling/Data mesh

• 5+ years of experience with data pipeline tools and Extract Transform Load (ETL) services

• Experience with the configuration of Application Programming Interfaces (APIs) for data ingestion

• Experience with Artificial Intelligence (AI) hardware and software integration environment.

Roles & Responsibilities

• Design and own the end-to-end cloud data platform architecture for Human Resources (HR) data (ingest, storage, processing, serving, cataloging, and archival)

• Translate HR analytics and Machine Learning (ML) requirements into logical and physical data models, data products, and platform services

• Define and implement data ingestion strategies (batch, streaming), transformation patterns (ELT/ETL), and orchestration for HR sources (HRIS, payroll, Learning Management Systems, recruiting, time and attendance, benefits, performance systems)

• Design, develop, maintain and optimize internal company data architecture for complex databases/data warehouse required to operate the business

• Complete data modelling for acquisition and database implementation collaborating with different stakeholders

• Apply data extraction, transformation and loading techniques to connect large and complex data sets from a variety of sources

• Lead the creation of data collection frameworks for structured and unstructured data and solve complex data problems to generate features required by data scientists

• Lead activities to develop and maintain complex infrastructure systems (e.g., data warehouses, data lakes) including data access Application Programming Interfaces (APIs)

• Analyze and manage complex data

• Guide other data and analytics professionals on data standards and practices

• Create a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytics solutions

• Lead build of repeatable data pipelines across complex multi- and hybrid-cloud environments

• Leverage automation extensively for scalability, repeatability, and reuse

Generic Managerial Skills, If any

• Experience in Human Resources

• Experience with DevOps/DevSecOps and CI/CD practices, methodologies and tooling

• Experience with Azure DevOps (ADO) or Team Foundation Server (TFS ), GitLab, GIT, IIS, Windows Server

• Experience with PCF (Pivotal Cloud Foundry)/Tanzu and/or exposure to Amazon Web Services, Google Cloud Platform, or Microsoft Azure

• Experience with Cloud technologies and/or Cloud-native app development and microservices

If you are interested, please send me your updated resume ASAP with below details :

Full Name:

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Current Rate/Salary:

Expected Base Salary:

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Any Relocation Concern (family/house/weather):

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About Jconnect Infotech

Sourced by ZipRecruiter

Jconnect Infotech is an esteemed corporation that operates within the Information Technology sector based in Noida, Uttar Pradesh, India. As a technology-driven firm, it offers various services such as IT Solutions, Software Development, Staffing Solutions and Management Consulting to businesses globally. Established as a pivotal player in its field, Jconnect Infotech was founded on the principles of delivering optimal solutions and promoting technological advancement within various industries. Their mission is to deliver innovative, cost-effective solutions and services to clients while maintaining their core values of integrity, excellence, and customer satisfaction.

Industry

Specialized design services

Company size

201 - 500 Employees

Headquarters location

Noida, Uttar Pradesh, in

Social media

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