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Remote Matillion Jobs (NOW HIRING)

cloud solutions architect

$65 - $89/hr

Remote Interview Mode: Virtual Interview Type: Contract Work authorization: Cannot work with OPT or ... HVR , Matillion etc - Continuous Integration/Continuous Deployment (CI/CD): Setup pipelines for ...

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How much do remote matillion jobs pay per hour?

As of Jun 12, 2026, the average hourly pay for remote matillion in the United States is $21.50, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $22.84 per hour, depending on experience, location, and employer.

What job makes $10,000 a month without a degree?

Remote Matillion roles typically do not pay $10,000 a month without relevant experience or specialized skills. High-paying jobs that can reach this level without a degree often include sales, real estate, or certain freelance consulting roles, but they usually require strong skills, certifications, or a proven track record. Most high-earning positions in tech or finance generally require relevant education or experience.

How can I make 2000 a week working from home?

To earn $2000 weekly as a remote Matillion professional, focus on developing advanced data integration and ETL skills, gaining certifications, and working on high-paying projects or consulting roles. Building a strong portfolio and networking can also help secure higher-paying opportunities in data engineering and analytics from home.

What are the key skills and qualifications needed to thrive as a Remote Matillion Developer, and why are they important?

To thrive as a Remote Matillion Developer, you need expertise in ETL processes, data warehousing concepts, and proficiency with SQL, often supported by a degree in computer science or related fields. Familiarity with Matillion ETL, cloud platforms like AWS or Snowflake, and experience with data integration tools are typically required. Strong problem-solving, self-motivation, and effective remote communication skills help you excel in this role. These skills ensure efficient data pipeline development and collaboration, enabling organizations to leverage data for business insights.

What is a Remote Matillion job?

A Remote Matillion job refers to a role where professionals work from a remote location to design, develop, and manage data integration workflows using Matillion, a cloud-native ETL (Extract, Transform, Load) tool. These jobs typically involve creating data pipelines that extract data from various sources, transform it according to business requirements, and load it into cloud data warehouses like Amazon Redshift, Snowflake, or Google BigQuery. Remote Matillion professionals collaborate with data engineers, analysts, and business stakeholders through online communication tools. The role may also include troubleshooting data integration issues, optimizing performance, and ensuring data quality in a fully remote working environment.

Is Matillion a good place to work?

Remote Matillion offers roles that typically involve working with cloud data integration tools and require technical skills. The company is known for a collaborative environment and flexible schedules, which can be beneficial for remote employees. However, individual experiences may vary based on role and team dynamics.

How can I make $100,000 a year working from home?

To earn $100,000 annually working remotely, roles like Remote Matillion specialists or data engineers often require advanced skills in data integration, SQL, and cloud platforms. Gaining relevant certifications, building experience, and demonstrating expertise can help achieve this income level, especially in high-demand industries with competitive salaries.

What is the difference between Remote Matillion vs Remote Data Engineer?

AspectRemote MatillionRemote Data Engineer
Required CredentialsExperience with Matillion ETL, SQL, cloud platformsSQL, Python, cloud services, data modeling
Work EnvironmentCloud-based, data integration projectsCloud or on-premises, data pipeline development
Employer & Industry UsageData integration, ETL solutions, analytics firmsTech companies, finance, healthcare, analytics
Common Search & ComparisonYesYes

Remote Matillion roles focus on using Matillion ETL tools for data integration, requiring familiarity with cloud platforms and SQL. Remote Data Engineers design and build data pipelines using various tools and programming languages like Python. While both roles work in data environments and often in similar industries, Matillion specialists are more focused on specific ETL solutions, whereas Data Engineers have broader technical responsibilities.

What are some common challenges faced by Remote Matillion Developers and how can they be effectively addressed?

Remote Matillion Developers often encounter challenges such as coordinating data pipeline deployments across distributed teams, ensuring secure access to sensitive data, and troubleshooting issues without direct, in-person collaboration. To address these challenges, developers rely on clear documentation, regular virtual meetings, and strong version control practices. Leveraging cloud-based collaboration tools and maintaining open channels of communication with data engineers, analysts, and stakeholders can also help streamline workflows and resolve issues efficiently.
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What states have the most Remote Matillion jobs? States with the most job openings for Remote Matillion jobs include:
cloud solutions architect

$65 - $89/hr

Full-time

Posted 15 days ago


Job description

Client: Hyatt
Location: Remote
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Rate: 70/hr w2
- Design and build efficient and reliable data pipelines to move data across different data systems and enterprise Data Warehouse (Snowflake), Oracle, and external partner systems through API's, AWS S3 buckets.
- Be an expert in cloud data warehouse, cloud ETL tools and capabilities to engineer solutions and automate large scale data flows from varying systems/sources.
- Diligently work with data scientists, other internal data groups and business partners to build data solutions which will support a variety of predictive and reporting applications.
- Infrastructure Components Setup: Install infra components and third-party software on-prem & establish connectivity with hosted apps for enterprise integrations and automation.
- Strong understanding of real time data integration with tools like Snowpipe, Kafka, snowflake sink
- Knowledge of oracle cloud
- Experience deploying software components e.g., on-prem software agents connecting, and private links to cloud apps like Snowflake, Kafka, Jira.
- Experience with integration tools like Snaplogic, HVR , Matillion etc
- Continuous Integration/Continuous Deployment (CI/CD): Setup pipelines for automated deployment, testing, and integration of applications using tools like GitHub, Gitlab, Jenkins
- Experience in hospitality industry would be a plus with experience on Sabre SynXis CRS
- Knowledge of Iaac using Terraform, CloudFormation etc.
Description:
PURPOSE:
At Hyatt, we're working to Advance Care through data-driven decisions and automation. This mission serves as the foundation for every decision as we create the future of travel. We can't do that without the best talent - talent that is innovative, curious, and driven to create exceptional experiences for our guests, customers, owners, and colleagues.
Hyatt seeks an experienced Solution Architect who will be an exceptional addition to our growing Data Platform Architecture team. The Solution Architect will work closely with data engineering, data product managers and data science teams to meet data requirements of various initiatives in Hyatt.
As a Solution Architect, you will work on the creation of Enterprise Data Platform for Hyatt. As a valued member of Data Platform Architecture team, you will work on shaping and building new analytical solutions to deploy in support of our internal clients
You'll help to create solutions to drive the next wave of innovation. You'll recommend tools and capabilities based on your research of the current environment and knowledge of various on-premises, Cloud-based, and hybrid resources.
You'll work with our engineering, architecture, and migration teams to inform strategy and architecture design. This is an opportunity to stay on top of the latest Cloud resources as you lead efforts to prototype using multiple techniques and new technologies. You'll be able to broaden your skillset into areas like automation, scripting, and containerization while developing critical systems for several of our internal clients. Join our team as we transform the way we manage data and information by taking advantage of Cloud technology.
You will be a part of a ground-floor, hands-on, highly visible team which is positioned for growth and is highly collaborative and passionate about data.
We are looking for highly motivated AWS expert who excited about leveraging his skills and his strategic ideas to improve mission execution, who is passionate about creating an amazing user experience that delights end-users and makes their jobs easier.
This candidate builds fantastic relationships across all levels of the organization and is recognized as a problem solver who looks to elevate the work of everyone around them.
- Provides expert guidance to projects to ensure that their processes and deliverables align with the Hyatt target state architecture.
- Design and develops enterprise data solutions based on architecture and standards leveraging leading architecture practices and advanced data technologies.
- Implement solutions for data migration, data delivery and ML pipelines.
- Implement Identity Access Management Roles and policies.
- Build resilient, reliable, performant and secure Data Platform and Applications.
- Work closely with application development and data engineer teams on day-to-day tasks along with project planning and implementation.
- Automate deployments of AWS services and BI Applications.
The ideal candidate demonstrates a commitment to Hyatt core values: respect, integrity, humility, empathy, creativity, and fun.
TECHNICAL QUALIFICATIONS:
- 6+ years of experience within the field of application/platform engineering or related technical work including business intelligence, analytics.
- 4+ years of experience with AWS Senior Cloud Data Engineering, management, maintenance, or architecting, implementing best practices and industry standards.
- Experience with data warehousing platforms such as Snowflake, Redshift or similar.
- Strong knowledge and established experience with AWS services including but not limited to: S3, EC2, RDS, Lambda, Cloud Formation, Kinesis, Data Pipelines, EMR, Step Functions, VPC, IAM, and Security Groups.
- Experience with DB technologies (e.g., SQL, Python, PostgreSQL, AWS Aurora, AWS RDS, MongoDB, Redis).
- Experience with CI/CD tools, pipelines, and scripting for automation. (GitHub Actions, Jenkins, AWS Code Pipeline tools, Cloud formation and Terraform).
- High degree of knowledge in IAM Roles and Policies
- Strong knowledge configuring AWS cloud monitoring and alerts for cloud resource availability.
- Strong scripting experience using PowerShell and/or Python.
- High degree of knowledge in PaaS and SaaS application performance.
- Understand enterprise level application architecture diagrams and IT security requirements.
ADDITIONAL QUALIFICATIONS:
- Experience and comfort solving problems in an ambiguous environment where there is constant change
- Have the tenacity to thrive in a dynamic and fast-paced environment, inspire change, and collaborate with a variety of individuals and organizational partners
- Experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business
- Effective problem solving and analytical skills. Ability to manage multiple projects and report simultaneously across different stakeholders
- Rigorous attention to detail and accuracy.
- Demonstrate d ability to troubleshoot technical problems and issues.
- Passionate about programming and learning new technologies.
- Experience planning and executing on-premises to AWS migrations
- BA or BS degree Computer Engineering, Computer Science, or related fields.
- Strong verbal and oral communication.
PREFERRED EXPERIENCE:
- Experience with large scale enterprise streaming services such as Kafka.
- Experience with Kubernetes and Docker containers or AWS Fargate.
- Experience implementing applications with both Windows and Linux server OS
- Experience with networking, security groups, or policy management in relation to Cloud resources across multiple operating systems, including UNIX, Linux, or Windows
- Advance CS degree.