{"id":2567473,"url":"https://alion.io/job/aspen-view-tech-data-engineer-salesforce-data-360","title":"Data Engineer Salesforce Data 360","company":{"id":4431613,"name":"AspenView Technology Partners","domain":"aspenviewtech.com","url":"https://alion.io/company/aspen-view-tech","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Enterprise Apps","role_family":"Enterprise Apps","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":88000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1665},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Databricks","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-24T13:57:53Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-11-08T15:27:07Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"Build the Future with AspenView Technology Partners\nAt AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently.\nAs we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries.\nWhy Join AspenView?\nAt AspenView, we’re more than a nearshore IT partner, we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients, and meaningful career paths for our people.\nAbout the Role\n We are seeking a Data Engineer to build the data foundation that Salesforce Data 360 (formerly Data Cloud) and Agentforce depend on. You will ingest and harmonize data from CRM, ERP, warehouse, and event sources into Data 360, resolve identity across them, and make the result trustworthy enough to activate against. Most AI work on Salesforce fails on data, not on models, which makes this role a critical enabler of the program rather than a support function.\nThis is a full-time, contractor agreement, remote nearshore position delivered from AspenView’s Latin American delivery centers, working the client’s core business hours with substantial time-zone overlap. You will be part of the client’s squad under AspenView Delivery Leadership, which holds the employment relationship and delivery accountability. This is a contributor role, not a task-execution role, the team needs someone who questions whether the right thing is being built, and says so.\nWhat You Will Do\nIngestion & Harmonization\nSource Ingestion: Build ingestion from Salesforce CRM, external APIs, object storage, and warehouse sources-including Snowflake, BigQuery, or Databricks via zero-copy where available.\nCanonical Mapping: Map source data to the Data 360 canonical model and maintain the data streams behind it.\nIdentity Resolution: Design and tune identity resolution rulesets, measuring the match rate rather than assuming it.\nModeling & Activatio\nInsights & Segments: Build calculated insights, segments, and activation targets that marketing and service teams can use.\nAgentforce Grounding: Model data for grounding Agentforce agents, including retrieval-ready unstructured content.\nPrivacy by Design: Implement consent, data-retention, and residency handling as part of the model, not after it.\nPipeline Engineering\nTransformation Pipelines: Build and orchestrate transformation pipelines in SQL and Python, with tests and lineage.\nObservability: Monitor freshness, volume, schema drift, and cost, and alert on them.\nCost Optimization: Tune for Data 360 consumption-based cost and report what each pipeline actually costs.\n\nEducation\nBachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field-or equivalent experience.\n\nWhat You Bring\nExperience\n5+ years in data engineering with production pipeline ownership in an Agile environment.\nUnderstanding of the Salesforce CRM data model and how it differs from a warehouse model.\nExperience with data quality, lineage, and observability tooling\n\nTechnical Expertise\nSalesforce Data 360: Data streams, data model objects, identity resolution, calculated insights, segmentation, and activation.\nSQL: Strong proficiency, including window functions and query tuning.\nPython: Transformation, orchestration, and API integration.\nCloud Data Warehouses: Snowflake, BigQuery, Redshift, or Databricks.\nData Modeling: Dimensional and canonical modeling: star schemas, slowly changing dimensions, and surrogate keys.\n\nLanguage Proficiency\nProfessional English, able to run requirement and design conversations directly with North American stakeholders.\nVisa Sponsorship\nAspenView does not sponsor employment visas for this role. Applicants must be permanently authorized to work in their country of residence and must not require visa sponsorship now or in the future.\nEqual Opportunity Employer\nAspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. 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