{"id":1492678,"url":"https://alion.io/job/salesforce-senior-data-engineer-3","title":"Senior Data Engineer","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":"A","score":89,"open_postings":297,"ghost_share":0.003,"stale_share":0.616,"repost_share":0.03,"time_to_fill_p50_days":21,"computed_at":"2026-09-30T05:45:00Z"}},"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":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":23000,"max_usd":47000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Hadoop","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-09-30T22:06:12Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"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\nDataJob 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.\nSenior Data Engineer - Marketing Operations\nAbout the Role\nAs a Senior Data Engineer on the Marketing Operations team, you'll work cross-functionally with business domain experts, analytics, and engineering teams to design and implement our Data Warehouse model. You'll partner with the Business Analytics Data Engineering function to build a data foundation and processes that scale with company growth - architecting, designing, and implementing data pipelines that deliver insights from Product and Corporate Systems to key partners, data scientists, and decision-makers across Sales, Customer Success, Marketing, and Finance at Slack.\nThis role suits problem solvers who anticipate issues before they surface and look beyond immediate fixes. We're looking for self-starters who take pride in their craft, are detail- and quality-oriented, and are passionate about making a real impact at Slack.\nResponsibilities\nDesign, implement, and build pipelines that deliver data with measurable quality under SLA.\nAssemble complex, large data sets that meet functional requirements.\nPartner with data architects, domain experts, data analysts, and other teams to build trusted, well-understood foundations aligned with business strategy that enable self-service.\nChampion the overall strategy for data governance, security, privacy, quality, and retention in line with business policies.\nOwn and document data pipelines and data lineage.\nIdentify, document, and promote best practices.\nSupport and maintain the analytics tech ecosystem (data warehouse, ETL, and BI tools).\nRequirements\n8+ years of experience in data management - data integration, modeling, optimization, data quality, or related data engineering areas.\n4+ years working in cross-functional teams, collaborating with business stakeholders in Sales or Finance on departmental/multi-departmental data management and analytics initiatives involving product and business system data.\nSolid experience working with Sales, Finance, and product usage data.\nExpertise in dimensional modeling, data warehouse scaling/optimization, performance tuning, and ETL pipelines.\nDeep understanding of both relational and big data systems.\nStrong problem-solving and interpersonal skills, with the ability to make sound, complex decisions in a fast-paced technical environment.\nAbility to work across multiple areas: pipeline ETL, data modeling & design, and complex SQL.\nExcellent written and verbal communication, able to collaborate with both technical and business partners.\nStrong grasp of trade-offs and the ability to navigate between big-picture strategy and implementation detail.\n Preferred\nPrior experience with Airflow.\nHands-on experience with data warehouse technologies (Snowflake, Redshift) and big data technologies (Hadoop, Hive, Spark).\nProficiency in Python or similar programming languages.\nPassion for data technologies broadly - SQL, NoSQL, MPP databases, etc.\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. 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.","description_format":"text","description_chars":6102,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketing Automation","AI Agents","Team Communication & Collaboration","Customer Support & Help Desk Software"],"lifecycle":[{"event":"open","at":"2026-09-30T01:07:31Z"}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:4","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/salesforce-senior-data-engineer-3","json_url":"https://alion.io/job/salesforce-senior-data-engineer-3.json","meta":{"generated_at":"2026-10-01T01:59:48Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1594,"day_limit":5000,"remaining_today":3406,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}