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Remote Informatica Cloud Jobs in Irving, TX (NOW HIRING)

Vytwo

Senior Data Engineer - Remote

Prosper, TX · Remote

$55 - $60/hr

Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake ... If you are offered this position, you will be required to provide extensive personal information to ...

Five9

Director, IT Infrastructure

Irving, TX · On-site +1

Five9 is a leading provider of cloud contact center software, bringing the power of cloud ... all Five9 offices and remote workers. • Ensure network availability, performance, and ...

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How much do remote informatica cloud jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for remote informatica cloud in Irving, TX is $57.31, according to ZipRecruiter salary data. Most workers in this role earn between $49.18 and $64.62 per hour, depending on experience, location, and employer.

What is the difference between Remote Informatica Cloud vs Remote Data Integration Specialist?

AspectRemote Informatica CloudRemote Data Integration Specialist
CertificationsInformatica certifications, cloud platform knowledgeData integration tools, certifications vary (Informatica, Talend, etc.)
Work EnvironmentCloud-based platforms, remote teamsRemote or on-site, often cloud or on-premise environments
Industry UsageData management, cloud data integrationData integration across industries, broader scope
Job FocusImplementing Informatica Cloud solutionsDesigning and managing data workflows

Remote Informatica Cloud specialists focus on implementing and managing cloud-based data integration using Informatica tools, while Remote Data Integration Specialists handle broader data workflows across various tools and platforms. Both roles require strong data skills, but the former is more specialized in Informatica Cloud technology.

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Senior Data Engineer - Remote

Vytwo

Prosper, TX • Remote

$55 - $60/hr

Full-time

Re-posted 14 days ago

Job description

Role: Senior Data Engineer
Remote Work
*Must be a US Citizen* & have a USA Passport
Primary Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Python, PySpark, and other modern programming languages to support both batch and streaming workloads.
  • Build and optimize data processing frameworks on cloud platforms such as Databricks or Snowflake, ensuring performance, reliability, and cost efficiency
  • Design and implement robust data models, including transactional (OLTP) and dimensional (OLAP) schemas, to support analytics, reporting, and application integration
  • Develop high quality SQL code including complex queries, stored procedures, and views, with a focus on performance tuning and efficient data access patterns
  • Create and manage workflow orchestration using Apache Airflow or similar tools, ensuring reliable scheduling, dependency management, and monitoring
  • Implement and enforce data governance and metadata standards through tools such as Microsoft Purview, including data lineage, classification, cataloging, and security policies
  • Build automated data quality and validation frameworks to ensure accuracy, completeness, and reliability of production datasets
  • Collaborate with cross functional teams including data architects, analysts, scientists, and business stakeholders to understand requirements and deliver scalable, well designed data solutions
  • Lead technical design sessions and code reviews, promoting engineering best practices, reusability, and maintainability
  • Support cloud infrastructure and DevOps practices, including CI/CD pipelines, version control, testing automation, and environment management
  • Monitor and troubleshoot production data pipelines, proactively addressing issues, performance bottlenecks, and system failures
  • Contribute to the evolution of the enterprise data platform, recommending tools, frameworks, and architectures to improve scalability and efficiency
You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

  • 7+ years of experience in data engineering, software engineering, or similar disciplines
  • Hands-on experience with Databricks or Snowflake
  • Experience with orchestration tools such as Apache Airflow
  • Experience working with cloud ecosystems (Azure preferred; AWS/GCP acceptable)
  • Advanced SQL skills and experience with OLTP and OLAP data modeling
  • Solid understanding of modern data warehousing, data lake, and ELT/ETL design patterns
  • Familiarity with data governance tools, especially Microsoft Purview
  • Solid programming expertise in Python, PySpark, or similar languages
  • If you are offered this position, you will be required to provide extensive personal information to obtain and maintain a suitability or determination of eligibility for a Confidential/Secret or Top Secret security clearance as a condition of your employment
  • Must be a US Citizen
Preferred Qualifications:

  • Healthcare industry experience, including claims, clinical, FHIR, HL7, or provider data
  • Experience with containerization (Docker, Kubernetes) for data workloads
  • Experience supporting machine learning workflows or analytical data science pipelines
  • Knowledge of distributed computing concepts and performance tuning

This is a remote position.