{"id":2561080,"url":"https://alion.io/job/salesforce-data-engineer-senior-2","title":"Data Engineer Senior","company":{"id":70,"name":"Salesforce","domain":"salesforce.com","url":"https://alion.io/company/salesforce","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":84,"open_postings":422,"ghost_share":0.012,"stale_share":0.59,"repost_share":0.057,"time_to_fill_p50_days":22,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":118000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"Snowflake","optional":false},{"name":"CI/CD","optional":true},{"name":"Git","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-14T20:39:45Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-15T06:12:01Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"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.\nJob Category\nSoftware EngineeringJob Details\nAbout Salesforce\nSalesforce 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.\nReady 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.\nData Engineer\nDET TEAM Mexico City\nWe are seeking a Data Engineer with 5-7 years of experience to design, build, and optimize scalable data pipelines and models that power analytics and business insights. You’ll work across modern data platforms and tools-such as dbt, Snowflake, Informatica, and Airflow-to ensure reliable, high-quality data for decision-making. This role is ideal for an engineer who enjoys problem-solving, collaboration, and continuous learning in a fast-paced, data-driven environment.\nKey Responsibilities\nDesign, build, and maintain automated ETL/ELT pipelines using tools like dbt, Snowflake, Informatica, and Airflow.\nDevelop and optimize data models to support analytics, reporting, and machine learning use cases.\nIntegrate data from multiple systems to create unified, high-quality datasets.\nEnsure data accuracy, completeness, and consistency through validation and monitoring.\nCollaborate with data analysts, product managers, and business teams to translate requirements into efficient data solutions.\nSupport data governance and quality initiatives, ensuring compliance with standards and best practices.\nContribute to the continuous improvement of data engineering processes, tools, and documentation.\nTroubleshoot and resolve issues in data pipelines, optimizing for performance and scalability.\nStay current with emerging data technologies and engineering best practices.\nDesired Skills & Experience\n5-7 years of hands-on experience in data engineering or data platform development.\nStrong proficiency in SQL and working knowledge of Python or another scripting language.\nExperience with dbt for data transformation and Snowflake for cloud data warehousing.\nPractical understanding of Informatica and Apache Airflow for data integration and orchestration.\nSolid grasp of data modeling techniques (dimensional, star/snowflake schemas).\nFamiliarity with CI/CD workflows, Git, and modern DevOps practices.\nKnowledge of data quality frameworks and monitoring tools.\nStrong problem-solving skills and attention to detail in ensuring data reliability.\nEffective communicator and team player, able to work in cross-functional environments.\nPassion for data-driven decision-making and improving data infrastructure.\nUnleash Your Potential\nWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando 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.\nAccommodations\nIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.\nPlease 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.\nPosting Statement\nSalesforce 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. 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