below marketmost similar roles pay hereabove market
This role pays less than
90%
of similar roles. Most pay
$139,875–$198,225
— the blue band above.
At the midpoint, this role pays about
$110k
versus about
$169k
for comparable roles.
Based on 240 similar postings.
Employer
About Accenture
Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.
Accenture currently has
174 open roles
on FindRole.
Listed pay typically runs
$94,400–$266,300
across 128 roles with salary data.
The MuleSoft Developer will join the Advanced Technology Centers team to design, develop, and maintain data integration solutions that facilitate seamless data flow across various systems. This role involves building and maintaining robust ETL processes to integrate data from diverse sources into centralized systems like data warehouses and databases. You will write and optimize SQL queries, stored procedures, and scripts while implementing data pipelines using tools such as MuleSoft, Informatica, Apache Nifi, AWS Glue, or Azure Data Factory. Key responsibilities include designing data models, ensuring data integrity through validation checks, and collaborating with Data Engineers to create scalable, secure workflows. The position requires proficiency in SQL, database management systems, and potentially Python or Java to support data manipulation and automation tasks within complex data architectures.
Design, develop, and maintain robust ETL processes to integrate data from various sources into centralized systems.
Write and optimize SQL queries, stored procedures, and scripts to transform and load data.
Build and maintain data pipelines using tools like MuleSoft, Informatica, Apache Nifi, or cloud-native solutions.
Create technical specifications and design data integration workflows for complex systems.
Develop data models to ensure consistency, accuracy, and efficiency across all processing systems.
Implement validation checks, error-handling mechanisms, and data cleansing to ensure data integrity.
Test integration processes to verify performance, scalability, and data accuracy.
Create and maintain clear documentation for all data integration procedures and code.
What we're looking for
Minimum 2 years of experience with MuleSoft data integration tools, ETL development, or data engineering.
Minimum 2 years of experience with SQL and database management systems like MySQL, SQL Server, or Oracle.
Bachelor's degree required, or an Associate Degree with at least 6 years of work experience, or a minimum of 12 years of experience in lieu of a degree.
Experience with tools such as Informatica, Apache Nifi, SSIS, or cloud-native solutions like AWS Glue and Azure Data Factory (preferred).
Familiarity with cloud platforms including AWS, Azure, or Google Cloud (preferred).
Proficiency in programming languages such as Python or Java for data manipulation and automation (preferred).
Knowledge of data warehousing concepts, cloud architecture, and data governance principles (preferred).
Certifications in relevant cloud platforms or MuleSoft/Informatica integration tools (preferred).
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