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Remote Cloud Data Engineer Jobs (NOW HIRING)

Senior Cloud Data Engineer

$108K - $147K/yr

Google Professional Cloud Architect or Cloud Data Engineer Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and ...

Senior Data Engineer

$108K - $147K/yr

We have a contract opportunity for Senior Data Engineer ( Remote) with one of our clients. Detailed ... Cloud Data Warehousing * Enterprise analytics projects * Production support and troubleshooting

New

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$117K - $140K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy ...

Data Engineer IV (Remote)

Spokane, WA · Remote

$115K - $139K/yr

ROI Agency is partnered with an established client to fill a remote Data Engineer IV position on a ... multi-cloud integrations, and end-to-end data platform evolution. Operating with full autonomy ...

Data Engineer

$117K - $140K/yr

The Data Engineer role involves designing and maintaining scalable data pipelines, integrating ... AWS Glue, Google Cloud Dataflow, Azure Data Factory) • Experience with Cloud data warehousing ...

GCP Data Engineer

$117K - $140K/yr

Denver, CO (Remote) Only W2 Candidates Job Summary We are seeking a highly skilled Data Engineer with deep expertise in Google Cloud Platform (GCP) and modern data architecture. The ideal candidate ...

$88K - $106K/yr

You will use modern cloud technologies and AI-assisted development workflows to create reliable ... Fully remote working opportunity across eligible locations. * Flexible working environment designed ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... The ideal candidate will have expertise in cloud data engineering, data warehousing, Snowflake, dbt ...

New

Data Engineer

Chesterfield, MO · On-site +1

$113K - $136K/yr

Description Data Engineer Chesterfield Office Hybrid or Remote Why You'll Want to Join! Join a ... You'll architect scalable cloud-native pipelines using Microsoft Fabric and Databricks to transform ...

Lead Data Engineer

Raleigh, NC · On-site +1

$129K - $190K/yr

Overview This is a remote role that may only be hired in the following locations: NC, CA We are ... The ideal candidate will have expertise in cloud data engineering, data warehousing, Snowflake, dbt ...

New

Data Engineer

$117K - $140K/yr

Remote Must Have * Proficient in working on the MS Azure Platform (Azure data pipeline etc.; S3 ... Data Fabric and being able to bridge the gap between On Prem H3 Data Fabric and Cloud data base

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

The successful candidate will develop scalable ELT/ETL pipelines, optimize cloud data environments ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Data Engineer (Contract) (Remote)

Manhattan, NY · Remote

$126K - $151K/yr

Cloudacio stands at the forefront of cloud technology, pioneering advanced, AI-driven solutions to ... We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and ...

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

The successful candidate will develop scalable ELT/ETL pipelines, optimize cloud data environments ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

Senior Data Engineer

Arlington, VA · On-site +1

$135K - $205K/yr

The successful candidate will develop scalable ELT/ETL pipelines, optimize cloud data environments ... Location and Work Hours * 100% Remote (United States) * Standard operating hours between 6:00 AM ...

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Remote Cloud Data Engineer information

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How much do remote cloud data engineer jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote 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.

How does a Remote Cloud Data Engineer typically collaborate with cross-functional teams?

As a Remote Cloud Data Engineer, you will frequently collaborate with data scientists, software engineers, and business analysts to design, build, and optimize cloud-based data solutions. Communication is often facilitated through virtual meetings, collaborative project management tools, and shared documentation platforms. Success in this role depends on your ability to articulate technical concepts clearly to non-technical stakeholders and align your work with broader business objectives. Being proactive in updates and seeking feedback helps ensure smooth coordination and project progress.

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

To thrive as a Remote Cloud Data Engineer, you need expertise in data engineering, cloud platforms (like AWS, Azure, or Google Cloud), and proficiency in programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with tools like Apache Spark, ETL pipelines, cloud storage solutions, and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strong problem-solving abilities, attention to detail, and effective remote communication skills help you excel in collaborative and distributed work environments. These skills ensure you can design, build, and maintain scalable data solutions that meet business needs efficiently and securely.

What is a Remote Cloud Data Engineer?

A Remote Cloud Data Engineer is a technology professional who designs, builds, and maintains data infrastructure and pipelines in cloud environments, such as AWS, Azure, or Google Cloud, while working from a remote location. They are responsible for ensuring data is efficiently collected, stored, and made accessible for analysis and applications. Their role often involves using tools like SQL, Python, and cloud-based services to manage big data workflows. By working remotely, they collaborate with distributed teams using digital communication and project management tools.
More about Remote Cloud Data Engineer jobs
What cities are hiring for Remote Cloud Data Engineer jobs? Cities with the most Remote Cloud Data Engineer job openings:
What are the most commonly searched types of Cloud Data Engineer jobs? The most popular types of Cloud Data Engineer jobs are:
What states have the most Remote Cloud Data Engineer jobs? States with the most job openings for Remote Cloud Data Engineer jobs include:
Infographic showing various Remote Cloud Data Engineer job openings in the United States as of July 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
Senior Cloud Data Engineer

Senior Cloud Data Engineer

Kunai

Remote

$108K - $147K/yr

Full-time

Posted 29 days ago


Job description

Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world's relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
This is a chance to work at the center of a complex and consequential cloud transformation for a major financial services org. We are looking for sharp, delivery-focused data consultants to lead the migration of a large data platform from Google Cloud Platform to AWS. You will not be reviewing architecture diagrams from the sidelines; you will be building the pipelines, designing the schemas, and making the hard calls that keep petabytes of critical financial data moving accurately and on schedule.
If you thrive in technically demanding environments, love solving gnarly data problems, and want your fingerprints on an enterprise-scale transformation, this engagement is for you.
What You Will Do
  • Own end-to-end data migration execution: Drive the full OLAP/OLTP migration from GCP to AWS: data mapping, schema conversion, and hands-on lift-and-shift execution.
  • Build rock-solid synchronization pipelines: Design and implement data sync pipelines with tight SLAs for latency, consistency, and error recovery. Zero ambiguity on failure modes.
  • Bring the target architecture to life: Implement the AWS data architecture end to end, including driver personalization engines and production-grade dashboarding solutions.
  • Migrate historical and time-series data at scale: Execute large-volume historical data migrations with rigorous integrity checks and minimal disruption to live operations.
  • Build observability from the ground up: Create monitoring, alerting, and reconciliation frameworks that give the team real-time confidence in cross-cloud data fidelity.
  • Elevate the team around you: Share your expertise freely. Mentor peers, unblock blockers, and raise the technical floor of the whole engagement.
  • Partner closely with the client: Work shoulder-to-shoulder with stakeholders to nail data governance, access patterns, and analytics requirements.

What You Bring
Data Migration
  • BigQuery to Redshift, Cloud SQL to Aurora/RDS: you have done this before and have the scars to prove it
  • Data mapping, schema conversion, and ETL/ELT pipeline design at enterprise scale

OLAP and OLTP Systems
  • Dimensional modeling: star and snowflake schemas, done right
  • Transactional database optimization and time-series data migration

Data Synchronization
  • CDC (Change Data Capture), real-time replication, latency tuning
  • Strong opinions on eventual vs. strong consistency, and when each applies
  • Battle-tested error handling and retry strategies

AWS Data Services
  • Redshift, Aurora PostgreSQL, DMS, Glue, Kinesis, MSK (Kafka), Lambda, S3, Lake Formation

Analytics and Personalization
  • Amazon QuickSight, Grafana, dashboarding frameworks, driver personalization engines

GCP
  • BigQuery, Cloud Spanner, Dataflow, Pub/Sub, Cloud SQL: you know the terrain you are leaving

Infrastructure as Code and CI/CD
  • Terraform, CloudFormation, and automated CI/CD for data pipelines

Certifications
Cloud certifications are a plus but are not required. Any of the following, or equivalent credentials from a major cloud provider, are valued:
  • AWS Certified Solutions Architect (Associate or Professional)
  • AWS Certified Data Analytics Specialty or Database Specialty
    • Google Professional Cloud Architect or Cloud Data Engineer

Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow-both personally and professionally-while pushing the boundaries of innovation in the fintech industry.
Minimum Degree Required:
  • Bachelor's Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required