Remote Cloud Data Engineer Jobs
Remote Cloud Data Engineer jobs are in strong demand across the U.S., with remote-first firms and distributed engineering teams actively hiring for cloud data roles in technology, financial services, and healthcare. Employers hiring remotely right now include AXIOM, AECOM, and Wittij Consulting. Find a role that fits below and apply directly.
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Job Title: Salesforce Data Cloud Architect
Duration: 12 months
Location: Remote
Description:
Formulate and define system scope and requirements through analysis of data architecture and integration patterns in the development of Salesforce Data Cloud solutions. Creates and modifies data ingestion, unification, and activation procedures to solve complex business problems considering platform limitations, data volume, and processing capacity.
Responsibilities:
- Design end to end Data Cloud architecture including data streams, data model mappings (DMOs/DLOs), identity resolution rulesets, calculated insights, and activation targets to support current and future cross functional data requirements
- Ensure Data Cloud implementations are compatible with and compliant with agency IT architecture standards, Salesforce platform governance, and integration requirements across core Salesforce (Sales/Service Cloud), Marketing Cloud, and external systems via API and connector frameworks
- Provide detailed specifications to developers covering data ingestion pipelines, segmentation logic, activation flows, and realtime engagement configurations
- Provide technical expertise in evaluating new Salesforce platform features, managed packages, and system modifications impacting the Data Cloud ecosystem
- Ensure the common operating environment remains compliant with Salesforce data residency, consent management, and security standards; evaluate and resolve issues related to data unification workflows, segment publishing, and cross cloud data sharing
- Provide daily supervision and direction to staff
Skills/Experience:
- Experience with Salesforce Data Cloud implementation, including data stream configuration, data model mapping, identity resolution, segmentation, and activation to Marketing Cloud or advertising targets
- Experience with core Salesforce platform (Sales Cloud, Service Cloud) and Marketing Cloud (Email Studio, Journey Builder, Audience Builder) and how they integrate with Data Cloud via the Data Cloud for Marketing connector and CRM connector
- Experience providing technical leadership and mentoring on Salesforce platform engineering, data architecture design, and CDP/data platform best practices, including presenting options to leads and clients
- Experience driving technical planning for Salesforce platform portfolios, including authoring solution designs, managing AppExchange vendor evaluations, and justifying architectural recommendations
- Ability to apply Salesforce data modeling concepts (party model, canonical DMOs), ingestion patterns (batch vs. streaming), and activation strategies to technical assignments
- Familiarity with Salesforce Flow, Apex, and SOQL as they relate to Data Cloud extensions and automation; experience with external data connectors (S3, MuleSoft, direct API) preferred
Education & Certifications:
- Bachelor's degree required (preferred in Computer Science, Computer Engineering, Information Systems, or related field).
- Salesforce Data Cloud Consultant certification, or Salesforce Marketing Cloud credentials preferred.
Job Title: Salesforce Data Cloud Architect
Duration: 12 months
Location: Remote
Description:
Formulate and define system scope and requirements through analysis of data architecture and integration patterns in the development of Salesforce Data Cloud solutions. Creates and modifies data ingestion, unification, and activation procedures to solve complex business problems considering platform limitations, data volume, and processing capacity.
Responsibilities:
- Design end to end Data Cloud architecture including data streams, data model mappings (DMOs/DLOs), identity resolution rulesets, calculated insights, and activation targets to support current and future cross functional data requirements
- Ensure Data Cloud implementations are compatible with and compliant with agency IT architecture standards, Salesforce platform governance, and integration requirements across core Salesforce (Sales/Service Cloud), Marketing Cloud, and external systems via API and connector frameworks
- Provide detailed specifications to developers covering data ingestion pipelines, segmentation logic, activation flows, and realtime engagement configurations
- Provide technical expertise in evaluating new Salesforce platform features, managed packages, and system modifications impacting the Data Cloud ecosystem
- Ensure the common operating environment remains compliant with Salesforce data residency, consent management, and security standards; evaluate and resolve issues related to data unification workflows, segment publishing, and cross cloud data sharing
- Provide daily supervision and direction to staff
Skills/Experience:
- Experience with Salesforce Data Cloud implementation, including data stream configuration, data model mapping, identity resolution, segmentation, and activation to Marketing Cloud or advertising targets
- Experience with core Salesforce platform (Sales Cloud, Service Cloud) and Marketing Cloud (Email Studio, Journey Builder, Audience Builder) and how they integrate with Data Cloud via the Data Cloud for Marketing connector and CRM connector
- Experience providing technical leadership and mentoring on Salesforce platform engineering, data architecture design, and CDP/data platform best practices, including presenting options to leads and clients
- Experience driving technical planning for Salesforce platform portfolios, including authoring solution designs, managing AppExchange vendor evaluations, and justifying architectural recommendations
- Ability to apply Salesforce data modeling concepts (party model, canonical DMOs), ingestion patterns (batch vs. streaming), and activation strategies to technical assignments
- Familiarity with Salesforce Flow, Apex, and SOQL as they relate to Data Cloud extensions and automation; experience with external data connectors (S3, MuleSoft, direct API) preferred
Education & Certifications:
- Bachelor's degree required (preferred in Computer Science, Computer Engineering, Information Systems, or related field).
- Salesforce Data Cloud Consultant certification, or Salesforce Marketing Cloud credentials preferred.
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Find JobsRemote Cloud Data Engineer Job Market
Who's Hiring
- AXIOM4
- AECOM3
- Wittij Consulting3
- IQVIA2
- Submer2S
Top Industries Hiring
- Technology & Software24
- Consulting & Professional Services10
- Insurance6
- Construction & Real Estate3
- Healthcare & Medical Services3
What Employers Look For
The qualifications that appear most often in remote 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 Remote Cloud Data Engineer Job Search
Signal async work habits in your materials
Remote cloud data engineering teams live in Slack, Jira, and documentation. Show you operate this way already by calling out async collaboration, written runbooks, or self-directed project delivery in your resume and cover letter. Concrete examples outperform vague claims about remote readiness.
Apply early to remote roles that fit
Migrate Mate lists remote cloud data engineer openings from across the U.S. in one place, so you can find roles that match your cloud stack and apply directly without sorting through location-filtered noise from generalist boards.
Build a public cloud portfolio on GitHub
Remote hiring managers can't visit a whiteboard, so your GitHub becomes the interview. Publish end-to-end pipeline projects using real cloud services like AWS Glue, BigQuery, or Azure Data Factory. Document your architecture decisions in the README so reviewers understand your reasoning.
Prepare for remote technical interviews
Remote cloud data engineer interviews commonly involve live coding in a shared environment, take-home pipeline design tasks, and architectural walkthroughs over video. Practice explaining infrastructure decisions out loud and talking through trade-offs in tools like dbt, Terraform, or Kafka as if coaching a teammate.
Target roles that match your cloud platform depth
Remote cloud data engineer postings almost always specify a primary platform: AWS, GCP, or Azure. Apply to roles where your deepest hands-on experience matches the stack listed, since remote teams rarely have bandwidth to cross-train an engineer on a new cloud environment after hire.
Remote Cloud Data Engineer Jobs: Frequently Asked Questions
How do I get a remote cloud data engineer job?
Remote cloud data engineer roles go to candidates who can demonstrate both technical depth and the ability to work independently without in-person oversight. Remote employers screen for proficiency in cloud platforms like AWS, GCP, or Azure, along with pipeline tooling such as dbt, Spark, or Airflow. Strong written communication and experience collaborating asynchronously across distributed teams give candidates a clear edge over those with comparable technical skills alone.
Which companies hire remote cloud data engineers?
Companies hiring remote cloud data engineers right now include AXIOM, AECOM, and Wittij Consulting, based on current remote listings on Migrate Mate as of June 2026. Remote-first technology firms, SaaS companies, and distributed data platform teams across financial services and healthcare make up the majority of consistent remote hirers for this role.
Can you get a remote cloud data engineer job with no experience?
Yes, but remote entry-level cloud data engineer roles are harder to land because employers expect you to troubleshoot infrastructure and pipeline issues with minimal hand-holding from day one. Early-career candidates break in by building public portfolio projects on GitHub using real cloud services, earning certifications from AWS or GCP, and targeting smaller remote-first companies or startups that are more willing to invest in developing junior engineers on distributed teams.
Do you need a degree for remote cloud data engineer jobs?
Not always. Remote employers prioritize demonstrated cloud engineering skills over formal credentials, and many posted roles list a degree as preferred rather than required. What consistently opens doors is a verifiable record of cloud work: deployed pipelines, infrastructure-as-code projects, or certifications in platforms like AWS, GCP, or Azure that a hiring manager can evaluate directly without a campus visit or in-person whiteboard session.
Which industries hire the most remote cloud data engineers?
Remote cloud data engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Insurance, based on current remote listings on Migrate Mate as of June 2026. These sectors rely on distributed engineering teams managing large-scale cloud infrastructure and data pipelines, making remote work a practical and common operating model rather than an exception.
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