Cloud Data Engineer Jobs
Cloud Data Engineer jobs are open across fintech, healthcare, retail, and media at every level from junior to staff and principal, with specializations in pipeline architecture, lakehouse design, and real-time streaming. Find a role that fits from the openings below and apply directly.
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Job Title: Lead Jira Data Center to Cloud FedRAMP SME
Data Migration to GovCloud Migration
Role Requirements
- Lead subject matter expert responsible for the technical execution of a Jira Data Center-to-Atlassian GovCloud (FedRAMP Moderate) migration, running the Jira Cloud Migration Assistant across trial and production cycles, proving data fidelity through automated reconciliation, and rebuilding configuration that does not migrate natively under FedRAMP constraints.
Focus Area (Competency)
- Atlassian Platform Migration
- Regulated Cloud Migration and Data Integrity
Required Skills
- Jira Cloud Migration Assistant (JCMA)
- Jira Data Center Administration
- Jira Cloud Administration
- Data Migration and Reconciliation
- Atlassian Govcloud / Fedramp Moderate Environments
- Jira Query Language (JQL)
- Atlassian REST API And Scripting
- Workflow, Scheme, And Custom Field Configuration
- Marketplace App Compatibility Assessment
- Cutover Planning and Rollback Design
- SSO, Service Account, And Access Provisioning
- Migration Runbook Development
Preferred Skills
- Script runner to cloud-native conversion
- Structure, structure. gantt, and custom charts
- Automation for Jira rule rebuild
- Cui and controlled data handling
- Python or Groovy for reconciliation tooling
- Jira Align or Confluence migration experience
Required Licenses & Certifications
- Atlassian Certified Jira Administrator (ACP-120 or current equivalent)
- Atlassian Cloud Migration accreditation or demonstrated JCMA production migration record
- Computer Science, Information Systems, or Engineering
- Ability to obtain US Government contractor eligibility for CUI handling
Role Description
- Validate the inventory and scope of roughly 21,000 work items along with boards, sprints, attachments, filters, dashboards and their gadget queries, structures, automations, and user accounts, and classify each item as native-migrating.
- Build and run automated Data Center-to-Cloud reconciliation of work items, comments, attachments, links, and history, and produce reconciliation reports to support trial review and the production validation record.
- Lead the plugin and app gap assessment against FedRAMP-approved GovCloud availability, and design Cloud-native replacements for capabilities that cannot follow — including Script Runner logic and Rich Filters — with a documented approach for converting scripted fields to native Jira Cloud custom fields.
- Author the migration runbook, cutover plan, and rollback procedure, including freeze window sequencing, integration and service account re-pointing, entry and exit criteria, and the read-only fallback to Data Center on a no-go decision.
- Support joint UAT and the go/no-go gate with evidence: reconciliation results, end-to-end workflow test outcomes, and Day-1 asset validation, with defects logged, triaged, and remediated before the production run.
- Lead hyper care after go-live with rapid defect triage and fixes, and advise on Data Center retention and decommission alignment with GE Cyber and Compliance.
- Act as the technical authority for the engagement, directing the Jira Migration Engineer and Migration Analyst, and translating migration risk into decisions the project director and client leadership can act on.
Job Title: Lead Jira Data Center to Cloud FedRAMP SME
Data Migration to GovCloud Migration
Role Requirements
- Lead subject matter expert responsible for the technical execution of a Jira Data Center-to-Atlassian GovCloud (FedRAMP Moderate) migration, running the Jira Cloud Migration Assistant across trial and production cycles, proving data fidelity through automated reconciliation, and rebuilding configuration that does not migrate natively under FedRAMP constraints.
Focus Area (Competency)
- Atlassian Platform Migration
- Regulated Cloud Migration and Data Integrity
Required Skills
- Jira Cloud Migration Assistant (JCMA)
- Jira Data Center Administration
- Jira Cloud Administration
- Data Migration and Reconciliation
- Atlassian Govcloud / Fedramp Moderate Environments
- Jira Query Language (JQL)
- Atlassian REST API And Scripting
- Workflow, Scheme, And Custom Field Configuration
- Marketplace App Compatibility Assessment
- Cutover Planning and Rollback Design
- SSO, Service Account, And Access Provisioning
- Migration Runbook Development
Preferred Skills
- Script runner to cloud-native conversion
- Structure, structure. gantt, and custom charts
- Automation for Jira rule rebuild
- Cui and controlled data handling
- Python or Groovy for reconciliation tooling
- Jira Align or Confluence migration experience
Required Licenses & Certifications
- Atlassian Certified Jira Administrator (ACP-120 or current equivalent)
- Atlassian Cloud Migration accreditation or demonstrated JCMA production migration record
- Computer Science, Information Systems, or Engineering
- Ability to obtain US Government contractor eligibility for CUI handling
Role Description
- Validate the inventory and scope of roughly 21,000 work items along with boards, sprints, attachments, filters, dashboards and their gadget queries, structures, automations, and user accounts, and classify each item as native-migrating.
- Build and run automated Data Center-to-Cloud reconciliation of work items, comments, attachments, links, and history, and produce reconciliation reports to support trial review and the production validation record.
- Lead the plugin and app gap assessment against FedRAMP-approved GovCloud availability, and design Cloud-native replacements for capabilities that cannot follow — including Script Runner logic and Rich Filters — with a documented approach for converting scripted fields to native Jira Cloud custom fields.
- Author the migration runbook, cutover plan, and rollback procedure, including freeze window sequencing, integration and service account re-pointing, entry and exit criteria, and the read-only fallback to Data Center on a no-go decision.
- Support joint UAT and the go/no-go gate with evidence: reconciliation results, end-to-end workflow test outcomes, and Day-1 asset validation, with defects logged, triaged, and remediated before the production run.
- Lead hyper care after go-live with rapid defect triage and fixes, and advise on Data Center retention and decommission alignment with GE Cyber and Compliance.
- Act as the technical authority for the engagement, directing the Jira Migration Engineer and Migration Analyst, and translating migration risk into decisions the project director and client leadership can act on.
Cloud Data Engineer Jobs by Experience Level
Top Cities Hiring Cloud Data Engineers
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Find Cloud Data Engineer JobsCloud Data Engineer Job Market
Who's Hiring
- Google21
- Rippling12
- Accenture6
- Logic6
- Information Technology Senior Management Forum4
Top Industries Hiring
- Technology & Software14
- Aerospace & Defense3
- Banking & Financial Services3
- Investment & Asset Management3
- Consulting & Professional Services2
What Employers Look For
The qualifications that appear most often in cloud data engineer jobs.
- Proficiency in SQL and at least one Python or Scala data engineering framework
- Hands-on experience building and maintaining pipelines on AWS, GCP, or Azure
- Experience with workflow orchestration tools such as Apache Airflow or Prefect
- Familiarity with columnar or lakehouse storage formats like Parquet, Delta Lake, or Iceberg
- Bachelor's degree in computer science, engineering, or a related technical field
- Knowledge of streaming platforms such as Apache Kafka or cloud-native equivalents
Tips for Your Cloud Data Engineer Job Search
Tailor your resume to pipeline tools
List the specific orchestration and transformation tools you've used, such as Apache Airflow, dbt, or Spark, with the cloud platform each ran on. Recruiters scan for exact tool names, and a generic 'data engineering' resume gets filtered out before a human reads it.
Quantify data volume and latency wins
Replace vague bullets like 'built data pipelines' with the scale you handled, the processing window you hit, or the cost you cut. Cloud data engineer hiring managers compare candidates on measurable outcomes, not responsibilities.
Filter openings by your cloud platform stack
Most cloud data engineer roles are anchored to one provider, AWS, GCP, or Azure, and the tooling differs significantly across them. Targeting listings that match your certified platform saves you from interviews where your hands-on experience doesn't map to the team's stack.
Apply early to roles that fit
Migrate Mate lists cloud data engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design answer for the data layer
Cloud data engineer interviews almost always include a whiteboard or verbal exercise asking you to design an ingestion and transformation pipeline from scratch. Practice explaining schema evolution, partitioning strategy, and idempotency out loud before your first screen.
Negotiate on compute credits and cert reimbursement
Beyond base compensation, ask whether the team provides cloud spend allowances for personal development or covers certification exams. These benefits are common in cloud-native orgs and often negotiable at offer time, especially for senior-level roles.
Cloud Data Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most cloud data engineers?
The companies hiring the most cloud data engineers right now include Google, Rippling, and Accenture, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of September 2026. Demand is especially concentrated in technology, financial services, and healthcare organizations running large-scale cloud data platforms.
How many cloud data engineer jobs are remote?
About 78% of cloud data engineer openings are fully remote or hybrid as of September 2026, making it one of the more location-flexible engineering disciplines. Roles focused on pipeline development, dbt modeling, and cloud infrastructure tend to be the most remote-friendly, while positions with heavy stakeholder collaboration or on-prem migration work are more likely to require on-site presence.
How do you become a cloud data engineer?
Start by building strong SQL fundamentals and learning Python for data transformation. Next, get hands-on with a major cloud platform by completing a certification like AWS Data Analytics or Google Professional Data Engineer. Build portfolio projects that demonstrate end-to-end pipelines using orchestration tools like Airflow and storage formats like Delta Lake, then target roles that match your certified platform.
Can you get a cloud data engineer job with little experience?
Yes, entry-level cloud data engineer roles exist, and employers hiring at that level focus on demonstrated technical ability over years of experience. Building two or three public pipeline projects on GitHub that show ingestion, transformation, and loading on a real cloud platform carries more weight than certifications alone. Targeting companies that run structured data engineering rotations or apprenticeships also improves your odds at the junior level.
What does the cloud data engineer interview process look like?
Most cloud data engineer interviews run in three to four stages. A recruiter screen covers your background and tool experience, followed by a technical phone screen with SQL or Python coding questions. The core round typically includes a pipeline design or system architecture exercise and a coding challenge focused on data transformation logic. A final round with the hiring manager or a panel covers past project depth and team fit.
Where can I find and apply to cloud data engineer jobs?
You can find and apply to cloud data engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your stack and experience level, then apply directly to each one that fits.
See All 184+ Cloud Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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