Data Integration Specialists connect systems, applications, and data sources so organizations can access reliable, usable information. Browse vetted opportunities on Ladders, including roles at established companies seeking professionals to build and maintain data pipelines, support analytics, and improve the flow of business-critical data. Ladders features professional jobs paying $100,000 or more.
These specialists design, develop, and support integrations that move data between databases, cloud services, enterprise applications, and analytics platforms. Responsibilities may include building ETL or ELT workflows, mapping and transforming data, monitoring pipeline performance, resolving integration issues, and documenting processes. Depending on the organization, the role may also involve data quality, security, governance, and collaboration with engineering, analytics, and business teams.
Job requirements vary, but employers commonly look for experience with SQL, data modeling, ETL tools, APIs, and cloud data platforms. Familiarity with Python or another programming language, integration patterns, workflow orchestration, and data warehousing can also be valuable. Strong troubleshooting, communication, and documentation skills help specialists translate business requirements into dependable technical solutions.
Data Integration Specialists can advance into senior integration, data engineering, solution architecture, or data platform leadership roles. Opportunities may be available across industries that depend on connected systems and timely data, including finance, healthcare, technology, retail, and manufacturing. The scope of a role often depends on the size of the organization, its data architecture, and the platforms it uses.
Use Ladders to explore vetted professional opportunities with salaries of $100,000 or more. Review each listing for responsibilities, required technologies, experience expectations, and compensation details, then identify roles that align with your skills and career goals.
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Elevate application security by driving best practices and collaborating with scrum teams. This role ensures data protection and compliance while integrating security into the software development lif...
3 days ago
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Shape the future of application security by driving best practices and collaborating with scrum teams to ensure data protection and secure development processes. Leverage your expertise to enhance our...
3 days ago
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Innovate robust SaaS platforms by collaborating with cross-functional teams, building and enhancing features, and delivering customer-centric solutions throughout the development lifecycle...
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ServiceNow PSDS Business Process Consultant (387)
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What does a Data Integration Specialist do?
A Data Integration Specialist builds and maintains connections between data sources, applications, and platforms. The work often includes developing ETL or ELT pipelines, transforming and validating data, monitoring workflows, and troubleshooting integration problems.
What skills are commonly required for Data Integration Specialist jobs?
Commonly requested skills include SQL, data integration or ETL tools, APIs, data modeling, and cloud or data warehouse platforms. Some employers also seek programming experience, knowledge of orchestration tools, and strong communication and problem-solving abilities.
What is the difference between a Data Integration Specialist and a Data Engineer?
The roles can overlap. Data Integration Specialists often focus on connecting systems and moving or transforming data, while Data Engineers may have broader responsibility for designing and operating data infrastructure and platforms. Duties vary by employer and job title.
How can I find Data Integration Specialist jobs paying $100,000 or more?
Browse Data Integration Specialist listings on Ladders, where professional jobs pay $100,000 or more. Compare the posted responsibilities, qualifications, technologies, and compensation details to find roles that fit your experience.
What career paths can follow a Data Integration Specialist role?
Potential next steps include senior data integration positions, data engineering, data architecture, solutions architecture, or data platform leadership. The best path depends on your experience, technical strengths, and career interests.