A person working as a Data Integration Engineer in United States of America will on average earn $96371 per year (pre-tax value). Salary is provided in USD ($/dollar) value.
Below is a break-down of yearly, monthly, weekly and hourly rate.
| Rate Type | Amount (USD) |
|---|---|
| Yearly salary | $96,371.00 |
| Weekly salary | $1,853.29 |
| Daily salary | $264.03 |
| Hourly salary | $33.00 |
This means data integration engineer salary is above average!
Job Industry: technology
Description: A data integration engineer is responsible for designing, developing, and maintaining efficient data integration processes within an organization. They work closely with various stakeholders to understand their data integration requirements and ensure seamless data flow across different systems and platforms. This involves extracting data from multiple sources, transforming and cleaning it, and loading it into a target system or database. They also perform data validation and quality checks to ensure accuracy and consistency. The role requires strong technical skills in data integration tools and technologies such as ETL (Extract, Transform, Load) processes, data warehousing, APIs, and data modeling. Data integration engineers should have a solid understanding of databases, SQL, and programming languages. They need to be detail-oriented, analytical, and possess problem-solving skills to troubleshoot and resolve data integration issues. Effective communication and collaboration skills are essential as they often work with cross-functional teams.
Tagged with: Data Integration Engineer, ETL, Data Warehousing, Data Modeling, SQL, API