Data Engineering MTS/SMTS - ETL

Data Engineering MTS/SMTS - ETL

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Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

4+ years of overall experience in developing, maintaining, and supporting ETL/ELT pipelines, enterprise integrations, data warehouse platforms, and production systems.

Primary 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.
• Perform incident triage, restore failed services, coordinate with stakeholders, and track Time to Resolution (TTR).
• Support month-end, quarter-end, and year-end activities by assisting with the SoX process in collaboration with Internal and External Auditors
• Knowledge of Finance and HCM systems is a significant advantage.
• Conduct Root Cause Analysis (RCA) for recurring or critical incidents. Document corrective and preventive actions and track them through closure.
• Support release management activities, including deployment planning, release validation, production verification, rollback readiness, and post-release monitoring.
• Create and maintain operational run lists, production schedules, release checklists, job inventories, dependency details, and escalation contacts.
• Develop and maintain Standard Operating Procedures (SOPs), runbooks, support documentation, knowledge articles, and RCA reports.
• Perform operational activities such as system patching, password and credential rotation, certificate renewal, access management, configuration changes, and environment migrations.
• Support Salesforce-related integrations with an understanding of Salesforce objects, APIs, authentication, batch interfaces, data flows, and integration troubleshooting.
• Perform data validation, source-to-target reconciliation, completeness checks, and failed-job recovery to ensure reliable data delivery.
• Collaborate with data engineering, Salesforce, application, infrastructure, security, database, and business teams to resolve issues and deliver stable solutions.

Required Skills

• Strong SQL development, data analysis, and production troubleshooting skills.
• Hands-on experience with Python and Snowflake.
• Experience with Apache Airflow workflow development, scheduling, and monitoring.
• Experience supporting MuleSoft APIs and enterprise integrations.
• Understanding of ETL/ELT processes, API integrations, job monitoring, incident management, release management, and SLA-based production support.
• Working knowledge of Salesforce platform concepts, objects, APIs, authentication, and integration patterns.
• Knowledge of data warehouse concepts, including fact and dimension tables, star and snowflake schemas, conformed dimensions, and Slowly Changing Dimensions.
• Ability to create clear SOPs, runbooks, RCAs, operational reports, and technical documentation.
• Strong communication, collaboration, analytical, and problem-solving skills.

Desired Skills

• Experience with Informatica or Data Integrator.
• Tableau reporting and dashboard-development experience.
• Familiarity with Salesforce data models and tools such as Bulk API, REST API, Platform Events, or Change Data Capture.
• Experience with AI-assisted or agentic support solutions for monitoring, incident analysis, automated remediation, and knowledge management.
• Knowledge of CI/CD pipelines, Git, automated deployment, release controls, and rollback procedures.
• Experience with cloud platforms, observability tools, service-management platforms, and enterprise alerting solutions.
• Familiarity with Agile delivery, ITIL processes, change management, and problem management.
• A demonstrated, genuine AI-first approach to engineering — using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows.
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.

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

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Experience Level

Mid Level