Senior Data Engineer: ETL, Airflow & API Integrations

Salesforce.com, inc.; Dublin; Hybrid; EUR 90,000 - 120,000; Full time

Job summary

Salesforce.com, inc. is seeking an experienced data integration specialist in Dublin to design, build, and maintain robust ETL/ELT pipelines and enterprise integrations.

You will work with Python, Snowflake, SQL, and MuleSoft to ensure reliable data delivery, orchestration, and API connections across Salesforce and related systems. The role focuses on production support, RCAs, release activities, and collaborating with data engineering, application, and security teams to resolve complex data

Qualifications

• 3–7 years of experience in ETL/ELT, data integration, and data warehousing.
• Experience designing and supporting production data pipelines.
• Knowledge of production support, incident management, and RCA.

Responsibilities

• Develop, enhance, and support data ingestion and ETL/ELT solutions using Python, Snowflake, SQL, Informatica, or BusinessObjects Data Integrator.
• Design, maintain, and monitor Apache Airflow DAGs for scheduling, workflow orchestration, dependency management, retries, and failure recovery.
• Develop and support MuleSoft APIs and integrations connecting Salesforce, enterprise applications, databases, and data platforms.
• Provide production and agentic support using AI-assisted monitoring, troubleshooting, knowledge retrieval, incident summarization, and resolution recommendations.
• Monitor scheduled jobs, APIs, interfaces, data availability, data quality, and upstream/downstream dependencies to meet operational SLAs.

Skills

SQL development

Python

Snowflake

Airflow

MuleSoft APIs

Salesforce integration

Data validation

Incident management

Tools

Informatica

BusinessObjects Data Integrator

Tableau

Git

MuleSoft

Job description

Salesforce.com, inc. is seeking an experienced data integration specialist in Dublin to design, build, and maintain robust ETL/ELT pipelines and enterprise integrations.

You will work with Python, Snowflake, SQL, and MuleSoft to ensure reliable data delivery, orchestration, and API connections across Salesforce and related systems. The role focuses on production support, RCAs, release activities, and collaborating with data engineering, application, and security teams to resolve complex data