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Data Integration Remote Jobs (NOW HIRING)

Liberty Mutual

Senior Data Integration Software Engineer

$125K - $165K/yr

This approach optimizes both remote and in-person interactions, enabling you to connect and ideate ... The Global Finance Technology organization is seeking an experienced Senior Data Integration ...

System One

Integration Architect

Clearwater, FL · Remote

$72.50 - $93.50/hr

Hybrid/Remote, Travel to Clearwater, FL once a quarter. Hours: 40.00 *Client cannot provide ... Design, develop, and implement application and data integration solutions using MuleSoft and other ...

System One

Integration Architect

Clearwater, FL · Remote

$72.50 - $93.50/hr

Hybrid/Remote, Travel to Clearwater, FL once a quarter. Hours: 40.00 *Client cannot provide ... Design, develop, and implement application and data integration solutions using MuleSoft and other ...

System One

Integration Architect

Clearwater, FL · Remote

$72.50 - $93.50/hr

Hybrid/Remote, Travel to Clearwater, FL once a quarter. Hours: 40.00 *Client cannot provide ... Design, develop, and implement application and data integration solutions using MuleSoft and other ...

System One

Integration Architect

Clearwater, FL · Remote

$72.50 - $93.50/hr

Hybrid/Remote, Travel to Clearwater, FL once a quarter. Hours: 40.00 *Client cannot provide ... Design, develop, and implement application and data integration solutions using MuleSoft and other ...

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Data Integration Remote information

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$84

How much do data integration remote jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data integration remote in the United States is $51.68, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $58.17 per hour, depending on experience, location, and employer.

What is the difference between Data Integration Remote vs Data Analyst Remote?

AspectData Integration RemoteData Analyst Remote
Required SkillsData mapping, ETL tools, database managementData visualization, statistical analysis, SQL
CertificationsETL, data management certificationsGoogle Data Analytics, Microsoft Excel certifications
Work EnvironmentPrimarily technical, working with databases and data pipelinesAnalytical, reporting-focused, using visualization tools
Industry UsageData engineering, integration projectsBusiness intelligence, reporting, insights

While both roles involve working with data remotely, Data Integration Remote focuses on connecting and managing data sources through ETL processes and database management. Data Analyst Remote emphasizes analyzing data, creating reports, and visualizations to support business decisions. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

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Data Integration Remote jobs near you
Infographic showing various Data Integration Remote job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $107,501 per year, or $51.7 per hour.

Only W2 | Sr. GCP Data Integration Engineer@ Remote Role

Remote

Palnar
IT Services • 201 - 500 employees
Learn more about Palnarexternal

Full-time

Re-posted 20 days ago

Job description

Job Summary:
We are looking for a detail-oriented and technically skilled Data Integration Engineer to design, develop, and manage robust data integration solutions. The ideal candidate will have hands-on experience in integrating data across disparate systems, building ETL/ELT pipelines, and ensuring the accuracy, quality, and consistency of enterprise data. You will play a key role in enabling seamless data flow between systems to support business intelligence, analytics, and operational needs.
Key Responsibilities:
Integration Design & Development
  • Design and implement data integration workflows between internal and external systems, including APIs, databases, SaaS applications, and cloud platforms.
  • Develop and maintain scalable ETL/ELT pipelines for structured and unstructured data using tools like Informatica, Talend, SSIS, Apache NiFi, or custom Python/SQL scripts.
  • Build and manage real-time and batch data pipelines leveraging technologies like Kafka, Spark Streaming,.

Data Quality & Governance
  • Ensure high data quality, accuracy, and consistency during data ingestion and transformation.
  • Implement data validation, cleansing, deduplication, and monitoring mechanisms.
  • Contribute to metadata management, data lineage, and data catalog initiatives.

Collaboration & Troubleshooting
  • Collaborate with data engineers, business analysts, data scientists, and application teams to understand integration needs and deliver effective solutions.
  • Troubleshoot and resolve data integration and pipeline issues in a timely manner.
  • Provide documentation and knowledge transfer for developed solutions.

Platform & Infrastructure Support
  • Support data movement across hybrid environments (on-prem, cloud, third-party systems).
  • Work with DevOps or platform teams to ensure scalability, security, and performance of data integration infrastructure.

Qualifications:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
  • 4-8 years of experience in data integration, data engineering, with strong ETL and SQL.
  • Strong experience with integration tools such as Informatica, Talend, MuleSoft, SSIS, or Boomi.
  • Proficient in SQL, Python, and scripting for data manipulation and automation.
  • Experience with cloud data platforms (GCP) and services such as Google Cloud Dataflow.
  • Familiarity with REST/SOAP APIs, JSON, XML, and flat file integrations.

Preferred Skills:
  • Experience with message queues or data streaming platforms (Kafka, RabbitMQ, Kinesis).
  • Understanding of data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery).
  • Knowledge of data security, privacy, and compliance best practices (HIPAA, GDPR, etc.).
  • Prior experience in industries like healthcare, fintech, or e-commerce is a plus.

Soft Skills:
  • Strong problem-solving and debugging skills.
  • Excellent communication and collaboration abilities.
  • Ability to manage multiple priorities and deliver in a fast-paced environment.

Attention to detail and a commitment to delivering high-quality work.

Apply