Level

Salesforce

ETL Informatica/IICS Engineer | Data 

AI in this role

Build and maintain ETL pipelines and data integration workflows using Informatica, MuleSoft, Snowflake, and Python scripts.

informaticaiicsmulesoftsnowflakeairflowpythonsalesforce-data-cloudtableaugithubpandasnumpypyspark
ai-agentsetldata-integrationdata-pipelinessqlapi-management

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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.

ETL Software Engineer | Data 
Mexico City | Hybrid

About the role

We're looking for an ETL Engineer to build and maintain data integration pipelines that keep our analytics and reporting systems accurate and reliable. You'll work closely with data analysts, platform teams, and business stakeholders to develop ETL mappings, troubleshoot pipeline issues, and support the systems that move data between Salesforce, Snowflake, and other enterprise sources. You will also utilize your technical knowledge to build integrations using Informatica and Mulesolft products.

Responsibilities

Tools & Technologies: Informatica/IICS, MuleSoft, Snowflake, Airflow, Python (Pandas, NumPy, PySpark), Salesforce Data Cloud, Tableau, GitHub

  • Design, build, and maintain ETL mappings and workflows using Informatica/IICS to move and transform data across source and target systems
  • Develop and support Python-based ETL scripts (Pandas, NumPy, PySpark) for custom data transformation and automation needs
  • Monitor and troubleshoot scheduled data pipeline jobs (e.g., Airflow DAGs), diagnosing failures and coordinating fixes with platform/infrastructure teams
  • Manage and validate API user connections and credentials across environments (DEV, QA, STG, PRD) for integrated systems
  • Create and maintain Snowflake database objects, roles, and access requests (RBAC) needed to support pipeline read/write operations
  • Perform data quality checks — validating, tagging, and reconciling records (e.g., flagging "VALID"/"INVALID" status) across source systems
  • Submit and shepherd change requests and deployment pull requests through DEV → QA → STG → PRD promotion, coordinating approvals with release/support teams
  • Partner with business and analytics stakeholders to resolve data mapping discrepancies and ensure clean handoffs
  • Maintain clear documentation of ETL jobs, connections, and operational runbooks for team knowledge continuity
  • Respond to and resolve production support tickets related to ETL job failures, connection issues, or data discrepancies

Required Qualifications

  • 3–5 years of experience in ETL development or data engineering
  • Hands-on experience with an ETL/integration tool (MuleSoft, Informatica/IICS strongly preferred)
  • Working knowledge of SQL and a scripting language such as Python for data transformation
  • Experience with cloud data warehouses such as Snowflake
  • Familiarity with workflow orchestration tools (e.g., Airflow) for monitoring scheduled jobs
  • Understanding of environment promotion practices (DEV/QA/STG/PRD) and basic version control (GitHub)
  • Strong troubleshooting skills and comfort working directly with cross-functional platform/support teams
  • Clear written communication for documenting issues, requesting approvals, and coordinating across teams
  • Experience deploying changes via CI/CD deployment pipelines

Preferred Qualifications

Salesforce ecosystem:

  • Experience supporting Salesforce-adjacent data environments
  • MuleSoft integration experience preferred
  • Salesforce Data Cloud experience preferred

Analytics:

  • Tableau development and visualization experience desired

Process:

  • Exposure to change management processes (e.g., formal change request/approval workflows)
  • Experience with data validation/reconciliation across multiple source systems

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.

How we score this

ETL Informatica/IICS Engineer | Data  at Salesforce scores 25 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsEtlData IntegrationData PipelinesSqlApi ManagementInformaticaIics

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where data integration was part of your work. What did you do?
  4. Tell me about a project where data pipelines was part of your work. What did you do?
  5. Tell me about a project where sql was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Agents, Etl, Data Integration, Data Pipelines, and Sql. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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