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Remote Data Integration Developer Jobs in Missouri

Jobgether

$88K - $106K/yr

... Remote Engine environments while maintaining reliable integration performance. * Monitor data ... Collaborate with data engineers, platform administrators, business stakeholders, and vendor support ...

All Generation Tech

Data Engineer-US

Columbia, MO · On-site +1

$109K - $130K/yr

... integration solutions, and modern data architecture. You will work closely with engineering ... Columbia, MO (Hybrid - 1 week in office, 1 week remote) Experience: 4+ years Schedule: Full-time, ...

Jobgether

$88K - $106K/yr

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale ... Build and optimize robust ETL/ELT pipelines that integrate data from diverse sources into trusted ...

BarkleyOKRP

Manager, Data Engineering

Kansas City, MO · On-site +1

$111K - $134K/yr

As the Data Engineer, you will maintain, clean and manipulate data in our operational and analytics ... Implement data pipelines and ETL processes to support data integration and analytics. * Work with ...

Jobgether

$52 - $69.50/hr

Contract opportunity supporting a large-scale data modernization and integration initiative. * Fully remote work environment. * Opportunity to contribute to an enterprise-scale data architecture and ...

Jobgether

$94K - $124K/yr

... remote environment. Accountabilities * Design, develop, and maintain complex backend integrations ... Contribute to architectural and technical decisions involving APIs, data flows, and system ...

The Timberline Group

Lead Salesforce Developer

Saint Louis, MO · On-site +1

$54 - $71.50/hr

Position can be done Remote (work from home). As we execute on our vision of transforming health in ... data integration using middleware tools and Salesforce APIs. • Act as the go-to person by ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

United States - Remote Employment Type: Full-Time and Contract Data Engineer Description: As a Data ... Your role will involve designing and building robust data pipelines, integrating structured and ...

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Remote Data Integration Developer information

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 key skills and qualifications needed to thrive as a remote data integration developer?

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 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 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 cities in Missouri are hiring for Remote Data Integration Developer jobs?

Cities in Missouri with the most Remote Data Integration Developer job openings:

Remote Data Integration Developer jobs near you

Data Engineer

Jobgether

Remote

$88K - $106K/yr

Contractor

Re-posted 21 hours ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Engineer based in Netherlands.

This is a hands-on data integration role focused on building and supporting reliable enterprise data pipelines and integration solutions.
You will work extensively with Talend to design, develop, test, deploy, monitor, and troubleshoot data workflows across complex environments.
The role combines data engineering, platform administration, database integration, API development, and production support.
You will collaborate with data engineers, platform teams, stakeholders, and external support partners to keep critical data moving securely and efficiently.
There is also a strong focus on data quality, governance, privacy, and regulatory compliance.
You will have opportunities to apply AI-assisted tools to accelerate development, testing, optimization, monitoring, and documentation.
This position is well suited to an experienced integration professional who enjoys solving complex technical problems in a structured enterprise environment.

Accountabilities
  • Design, develop, test, deploy, and maintain enterprise data integration solutions using Talend Data Integration, Talend Studio, and Talend Data Fabric.
  • Build reusable, parameterized, and context-aware Talend jobs, routes, components, and workflows across development, testing, and production environments.
  • Develop scalable ETL/ELT processes for extracting, transforming, validating, reconciling, and loading enterprise data through batch and near-real-time pipelines.
  • Administer and support Talend Management Console, including job scheduling, deployment, orchestration, monitoring, and operational troubleshooting.
  • Install, configure, monitor, and troubleshoot Talend Remote Engine environments while maintaining reliable integration performance.
  • Monitor data pipelines, investigate failures and data-load issues, resolve production incidents, and provide ongoing support within established service levels.
  • Develop complex SQL queries, stored procedures, transformation logic, validation rules, and reconciliation processes across relational databases such as Microsoft SQL Server, Oracle, and PostgreSQL.
  • Design and integrate RESTful APIs and support secure data services using Azure API Management and other enterprise integration technologies.
  • Implement data governance practices covering metadata, classification, lineage, quality, reconciliation, and validation.
  • Apply appropriate security and privacy controls, including role-based access, encryption, and data masking, while supporting regulatory and privacy requirements.
  • Collaborate with data engineers, platform administrators, business stakeholders, and vendor support teams to understand requirements and deliver reliable integration solutions.
  • Use AI-assisted tools for code generation, review, optimization, data analysis, testing, pipeline development, monitoring, and technical documentation.
Requirements
  • Post-secondary degree, diploma, or certificate in Computer Science or a related technical discipline.
  • At least 3 years of experience designing, developing, testing, and supporting enterprise data integration solutions.
  • At least 3 years of hands-on experience with Talend Data Integration, Talend Studio, or Talend Data Fabric.
  • At least 3 years of experience administering and supporting Talend Management Console and Talend Remote Engine.
  • At least 2 years of experience providing production support for enterprise integration environments.
  • At least 4 years of experience working within a mature software development lifecycle.
  • Strong SQL and relational database skills, particularly with Microsoft SQL Server, Oracle, or PostgreSQL.
  • Solid experience with ETL/ELT, data mapping, transformation, reconciliation, validation, and data quality processes.
  • Experience with Talend scheduling, deployment, orchestration, monitoring, troubleshooting, and performance optimization.
  • Experience building reusable integration components and supporting batch and near-real-time data pipelines.
  • At least 1 year of experience using AI tools for development, data analysis, automation, testing, optimization, or documentation.
  • Strong troubleshooting and analytical skills, with the ability to diagnose integration failures and resolve complex data pipeline issues.
  • Experience with business requirements analysis related to data and integration is an advantage, particularly with 6+ years of experience.
  • Experience designing and integrating RESTful APIs, with Azure API Management experience considered an asset.
  • Familiarity with message queuing technologies, cloud-based data integration, and enterprise application integrations is desirable.
  • Knowledge of data governance, metadata management, data lineage, data classification, RBAC, encryption, data masking, and privacy controls is a plus.
  • Experience in government, environmental, healthcare, or other regulated environments is advantageous.
  • Strong communication and collaboration skills, with the ability to work effectively across technical teams, stakeholders, and vendors.
Benefits
  • Opportunity to work on complex enterprise data integration and modernization initiatives.
  • Hands-on exposure to Talend, Azure, APIs, relational databases, cloud integration, and AI-assisted development.
  • Work involving data governance, security, privacy, and regulated enterprise environments.
  • Collaboration with experienced data engineers, platform specialists, business stakeholders, and technology partners.
  • Opportunity to contribute to scalable, secure, and high-impact data solutions.
  • Exposure to modern AI-assisted approaches for software development, testing, optimization, and operational support.
  • Remote working environment with the opportunity to contribute to a distributed technical team.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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