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From Home Talend Data Integration Jobs (NOW HIRING)

Working knowledge of Talend Data Integration tool. * Exposure to Other Talend Product Suites ... Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider ...

... from hospital systems into Meduit platforms, including data warehouses, mapping tools, payment ... Experience with ETL tools such as Talend Data Integration * Strong understanding of data ...

Provide full lifecycle support of data integration solutions from implementation through ongoing optimization * Create and execute test plans to validate solution functionality, data accuracy, and ...

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From Home Talend Data Integration information

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$59.5K

$129.8K

$183.5K

How much do from home talend data integration jobs pay per year?

As of Jul 14, 2026, the average yearly pay for from home talend data integration in the United States is $129,801.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $151,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Talend Data Integration vs From Home Data Warehouse Developer?

AspectFrom Home Talend Data IntegrationFrom Home Data Warehouse Developer
Required SkillsTalend tools, ETL processes, SQL, data modelingData warehousing, ETL, SQL, data modeling, scripting
Work EnvironmentRemote, primarily using Talend software and cloud platformsRemote, focusing on designing and maintaining data warehouses
Industry UsageData integration projects across various industriesData storage and analysis in business intelligence

While both roles involve data handling and ETL processes, From Home Talend Data Integration focuses on using Talend tools for data integration tasks, whereas From Home Data Warehouse Developer emphasizes designing and managing data warehouses for analytics. The roles share skills like SQL and data modeling but differ in their primary focus and tools used.

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What cities are hiring for From Home Talend Data Integration jobs? Cities with the most From Home Talend Data Integration job openings:
What are the most commonly searched types of Talend Data Integration jobs? The most popular types of Talend Data Integration jobs are:
What states have the most From Home Talend Data Integration jobs? States with the most job openings for From Home Talend Data Integration jobs include:
What job categories do people searching From Home Talend Data Integration jobs look for? The top searched job categories for From Home Talend Data Integration jobs are:
Infographic showing various From Home Talend Data Integration job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,801 per year, or $62.4 per hour.
Only W2 | Sr. GCP Data Integration Engineer@ Remote Role

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

Palnar

Remote

Full-time

Re-posted yesterday


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.