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Remote Data Integration Developer Jobs (NOW HIRING)

The Maven Group, LLC

Oracle Integration Developer

Herndon, VA · Remote

$51.75 - $68.50/hr

... Remote THE HIGH LEVEL Designs, develops, and supports enterprise integrations using Oracle ... reliable data exchange between Oracle Fusion HCM, Oracle E-Business Suite (EBS) hosted in OCI ...

New

The Maven Group, LLC

Oracle Integration Developer

Herndon, VA · Remote

$51.75 - $68.50/hr

... Remote THE HIGH LEVEL Designs, develops, and supports enterprise integrations using Oracle ... reliable data exchange between Oracle Fusion HCM, Oracle E-Business Suite (EBS) hosted in OCI ...

New

The Maven Group, LLC

Oracle Integration Developer

Herndon, VA · Remote

$51.75 - $68.50/hr

... Remote THE HIGH LEVEL Designs, develops, and supports enterprise integrations using Oracle ... reliable data exchange between Oracle Fusion HCM, Oracle E-Business Suite (EBS) hosted in OCI ...

New

Firstsource

Systems Integration Developer

$51.50 - $68.25/hr

Develop robust, reusable applications to support data transformation, workflow automation, and ... junior developers and contribute to best practices for coding, version control, and integration ...

Firstsource

Systems Integration Developer

$51.50 - $68.25/hr

Develop robust, reusable applications to support data transformation, workflow automation, and ... junior developers and contribute to best practices for coding, version control, and integration ...

Noblesoft Technologies

Integration Engineer

Edina, MN · Remote

$106K - $143K/yr

Edina, MN (Remote) JD for Rhapsody & Device Integration: JD "An Integration Engineer with hands on ... Design and implement integration solutions using HL7 standards, ensuring seamless data exchange ...

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Remote Data Integration Developer information

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How much do remote data integration developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote data integration developer 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 are the key skills and qualifications needed to thrive as a Remote Data Integration Developer, and why are they important?

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

What are some common challenges Remote Data Integration Developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is a Remote Data Integration Developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.
What cities are hiring for Remote Data Integration Developer jobs? Cities with the most Remote Data Integration Developer job openings:
What are the most commonly searched types of Data Integration Developer jobs? The most popular types of Data Integration Developer jobs are:
What states have the most Remote Data Integration Developer jobs? States with the most job openings for Remote Data Integration Developer jobs include:
Remote Data Integration Developer jobs near you
Only W2 | Sr. GCP Data Integration Engineer@ Remote Role

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

Palnar

Remote

Full-time

Re-posted 3 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