Contribute to the ongoing maintenance and enhancement of end-to-end data integrations, API orchestration services, Airflow workflows, and batch/real-time data processing pipelines.
Support data quality validation, data stewardship workflows, and third-party data enrichment integrations (e.g., Dun & Bradstreet, Moody's, Leadspace).
Write clean, maintainable Java/Python code, REST APIs, SQL scripts, and automated unit tests following team engineering standards.
Participate actively in operational readiness reviews, code reviews, release deployments, and sprint planning under the guidance of senior engineers.
Maintain clear technical documentation, runbooks, and playbooks to streamline support practices and troubleshooting procedures across the team.
Demonstrate strong ownership, proactive communication, and initiative in managing both planned enhancement tasks and high-priority support issues across globally distributed teams.
Required Skills / Experience
Minimum Qualifications
Bachelor's degree in Computer Science, Information Systems, Software Engineering, or a related technical field (or equivalent practical experience).
4+ years of relevant software engineering, data engineering, enterprise application support, or maintenance experience.
Strong problem-solving, debugging, and analytical skills with a proven track record of troubleshooting complex production data systems and application issues.
Practical experience with object-oriented programming (preferably Java or Python) and RESTful API development/integration.
Solid experience with database management, SQL scripting, data modeling, and diagnosing complex data anomalies.
Experience leveraging modern AI-assisted coding tools (e.g., GitHub Copilot, Cursor, Claude) to accelerate development, code debugging, and test automation.
Solid understanding of core software engineering practices, version control (Git), CI/CD pipelines, and automated testing frameworks.
Hands-on exposure to enterprise integration patterns, cloud platforms (AWS/GCP/Azure), ETL/ELT workflows, or streaming technologies (Kafka).
Strong written and verbal communication skills with a focus on ownership and operational efficiency.
Preferred Qualifications
Hands-on experience with Master Data Management (MDM) platforms (e.g., Informatica SaaS MDM, Reltio, or similar toolsets).
Experience supporting enterprise integration systems such as MuleSoft, Apache Airflow, or Kafka-based data pipelines.
Prior experience in L2/L3 production support, incident management, on-call rotations, and ticketing tools (e.g., Jira, ServiceNow).
Experience writing advanced SQL scripts for data cleanup, validation, and production bug diagnosis.
Exposure to Generative AI concepts, LLMs, prompt engineering, or agentic workflows for software delivery.
Salesforce ecosystem knowledge, Data Cloud, or CRM platform experience.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
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Posting Statement
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