Etl Informatica Developer
Showing salary data for 160 Etl Informatica Developer positions
In-depth H-1B visa salary data for Etl Informatica Developer positions across the United States. Explore compensation trends, top employers, and geographic distribution for this specialty occupation. Compare wages across different companies and cities.
Job Title Stats
Total Positions
160
Average Salary
$89,424.52
About Etl Informatica Developer
The role of an ETL Informatica Developer is crucial in the data management landscape, focusing on extracting, transforming, and loading data to support business intelligence and analytics. Typical responsibilities include designing ETL processes, optimizing data workflows, and ensuring data integrity across systems. Required skills often encompass proficiency in Informatica tools, SQL, data warehousing concepts, and strong analytical abilities. With an average salary of approximately $99K and 8 H-1B positions available in 2024, this role presents significant opportunities for international professionals seeking visa sponsorship. The demand for skilled ETL developers is on the rise, driven by the increasing need for data-driven decision-making in organizations, making this a promising career path with substantial growth potential.
Monthly H-1B Job Count & Salaries
Top Locations for Etl Informatica Developer
* Dominance shows what proportion of all H-1B jobs in each city are for the Etl Informatica Developer role.
💰 Salary Trends & Insights
The salary trends for ETL Informatica Developer positions show a significant increase over time, with an overall average salary of $89,425. Notably, the average salary rose from $64,355 in 2013 to $93,066 in 2023, indicating a positive trajectory. The peak hiring year was 2020, with 46 job postings and an average salary of $86,684. Recent months, particularly from July 2023 to January 2024, saw salaries ranging from $90,307 to $114,026, reflecting strong demand and competitive compensation. This role's compensation has evolved considerably, especially in the last two years, highlighting its growing importance in the data management landscape.