Oracle Data Integrator information
See Virginia salary details
$47.43 - $50.89
18% of jobs
$53.49 is the 25th percentile. Wages below this are outliers.
$50.89 - $54.36
9% of jobs
$54.36 - $57.83
5% of jobs
The median wage is $59.81 / hr.
$57.83 - $61.29
30% of jobs
$64.47 is the 75th percentile. Wages above this are outliers.
$61.29 - $64.76
13% of jobs
$64.76 - $68.23
8% of jobs
$68.23 - $71.69
3% of jobs
$71.69 - $75.16
3% of jobs
$75.16 - $78.62
3% of jobs
$78.62 - $82.09
3% of jobs
$82.09 - $85.56
3% of jobs
How much do oracle data integrator jobs pay per hour?
As of Aug 17, 2026, the average hourly pay for oracle data integrator in Virginia is $62.56, according to ZipRecruiter salary data. Most workers in this role earn between $57.21 and $66.73 per hour, depending on experience, location, and employer.
Oracle Data Integrator (ODI) is a comprehensive data integration platform by Oracle that enables organizations to design, implement, and maintain data movement and transformation processes between different systems. It supports high-performance data movement and transformation among enterprise platforms and databases. ODI provides an easy-to-use graphical interface, supports both batch and real-time data integration, and is widely used for data warehousing, business intelligence, and big data projects.
To thrive as an Oracle Data Integrator, you need expertise in data integration concepts, ETL processes, and a solid understanding of databases, often supported by a degree in computer science or a related field. Familiarity with Oracle Data Integrator (ODI) tools, SQL, and related certifications such as Oracle Certified Expert are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help professionals stand out in this role. These skills are crucial to ensure seamless data workflows, accurate data migration, and successful collaboration with technical and business teams.
A frequent challenge for Oracle Data Integrator (ODI) professionals is managing data consistency and quality when consolidating information from diverse sources, such as databases, flat files, and cloud platforms. Each source may have different data formats, structures, and update frequencies, which requires careful mapping and transformation logic. Additionally, ensuring performance optimization and troubleshooting integration errors can be demanding, especially in large-scale or real-time environments. Collaboration with database administrators, business analysts, and application developers is essential to address these challenges and deliver reliable, scalable integration solutions.
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