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Remote Data Integration Developer Jobs in Dallas, TX

Data Engineer II

Dallas, TX · On-site +1

$113K - $136K/yr

Lantern is looking for a Data Engineer II to join our Data Engineering team. The ideal candidate ... Write unit, integration, and functional tests for new features. * Contribute to the Technology ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Strong ETL using SSIS and PySpark * Databricks * Must have Azure (Azure Data Factory, Azure Synapse ...

Data Engineer

Dallas, TX · On-site +1

$113K - $136K/yr

Support AI/ML integration by building feature pipelines, enabling model workflows, and integrating ... is Hybrid Remote. We offer several comprehensive benefits package including health and life ...

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Remote Data Integration Developer information

See Dallas, TX salary details

$10

$51

$83

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

As of Jun 10, 2026, the average hourly pay for remote data integration developer in Dallas, TX is $51.13, according to ZipRecruiter salary data. Most workers in this role earn between $43.03 and $57.55 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 are the most commonly searched types of Data Integration Developer jobs in Dallas, TX? The most popular types of Data Integration Developer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Remote Data Integration Developer jobs? Cities near Dallas, TX with the most Remote Data Integration Developer job openings:

AWS DevOps with SAP S/4HANA SD experience

CLOUDSCOUTS SOFTWARE SOLUTIONS LLC

Frisco, TX • Remote

$48.75 - $66.75/hr

Full-time

Posted 15 days ago


Job description

minimum 10+ exp resource
1) Experience in designing cloud-native applications on AWS (Lambda, ECS/EKS, API Gateway, S3, DynamoDB, etc.).
2) Strong knowledge of AWS Well-Architected Framework and cost/performance optimization.
3) Exposure to SAP S/4HANA SD processes (Order-to-Cash, Pricing, Invoicing) and SAP BTP Integration Suite (APIs, monitoring, extensibility).
4) Familiarity with Search Platforms (Coveo/OpenSearch) and enterprise data integration landscapes.
5) Understanding of Enterprise Integration Patterns (EIP) using Kafka / Pub-Sub messaging.
6) Create C4-modelbased architecture artifacts covering system context, container, component, and data flow views.

This is a remote position.