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 Revstar, Akima, and Cisco. Find a role that fits below and apply directly.
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This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Cloud Data Architect
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $145,000–$160,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary:
We are seeking a Cloud Data Architect to define and lead the architecture of our enterprise data platform, spanning ingestion, storage, processing, governance, and consumption layers. The role drives the strategic direction of data infrastructure, sets standards for data modeling and lifecycle management, and partners with data engineering, analytics, ML, and business stakeholders to deliver a coherent, scalable data foundation. The ideal candidate combines deep technical mastery of modern data platforms with strong architectural judgment, and has led data-platform programs of meaningful scope and complexity.
Required Qualifications
- Eight or more years of experience in data engineering, with significant time in architecture roles.
- Deep expertise across at least two major data platforms such as Snowflake, Databricks, BigQuery, or Redshift.
- Strong understanding of lakehouse architectures, modern table formats, and streaming systems.
- Hands-on experience with Spark, Flink, or Kafka at production scale.
- Strong data modeling expertise across dimensional, normalized, and data-vault patterns.
- Experience implementing governance, lineage, and catalog capabilities.
- Solid grasp of cloud platforms, networking, identity, and cost optimization.
- Excellent communication, facilitation, and stakeholder management skills.
- Track record of leading large data platform initiatives across teams.
Preferred Qualifications
- Experience with data mesh or data product architectures.
- Familiarity with semantic layers such as dbt Semantic Layer, Cube, or LookML.
- Exposure to regulated industries with strict data residency or audit requirements.
- Cloud or platform certifications (Snowflake, Databricks, AWS, Azure, GCP).
- Public talks or writing on data architecture.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to Harry@bvteck.com or contact us at (908)676-4399. Learn more about Bright Vision Technologies at www.bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.
Equal Employment Opportunity (EEO) Statement
Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.
BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.
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Who's Hiring



Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
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.
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 Revstar, Akima, and Cisco, based on current remote listings on Migrate Mate as of September 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 and Consulting & Professional Services, based on current remote listings on Migrate Mate as of September 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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