{"id":3878877,"url":"https://alion.io/job/inclusion-cloud-ai-data-engineer","title":"AI Data Engineer","company":{"id":3875981,"name":"Inclusion Cloud","domain":"inclusioncloud.com","url":"https://alion.io/company/inclusion-cloud","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Manatal","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"CloudFormation","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"IAM","optional":false}],"status":"live","first_seen_at":"2026-11-06T17:32:12Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T12:04:01Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Position: AI Data Engineer\nLocation: Remote\nLanguage Requirements: Advanced English (required), Intermediate Spanish (desired)\nAbout the Role\nWe are looking for an AI Data Engineer to support several initiatives within our Data Management team, focused on Artificial Intelligence, data processing, and cloud integration across our Amazon Web Services environments.\nIn addition, this role will help design and implement a new enterprise data platform to support multiple business units, focused on building scalable capabilities for data ingestion, storage, and processing. The ideal candidate will have solid experience designing and deploying cloud-based data and AI architectures, as well as developing robust data pipelines and supporting modern analytics and AI workloads.\nResponsibilities\nDesign and implement cloud data and AI architecture solutions on AWS.\nDevelop and maintain data integration, ingestion, and transformation pipelines.\nSupport the design and implementation of a new centralized data platform for enterprise data ingestion, storage, and processing.\nManage structured and unstructured data, including vector and graph data administration.\nCollaborate with cross-functional teams to ensure data quality, security, and availability.\nOptimize data workflows and ensure scalability of deployed solutions.\nMain Technologies\nAWS Services: CloudFormation, S3, IAM, Glue, Athena, Synapse, Redshift, Lake Formation, SageMaker\nData Processing: ETL/ELT frameworks, data pipelines, data lake management\nAI/ML Integration: vector databases, graph data models\nAdditional ecosystem experience is highly valued, especially with tools such as Lake Formation, SageMaker, and platforms like Databricks.\nRequirements\nProven experience in AWS Cloud data architecture and AI solutions.\nStrong knowledge of data integration, ingestion, and transformation tools.\nExperience building scalable data platforms for enterprise ingestion, storage, and processing use cases.\nExperience handling structured/unstructured, vector, and graph data.\nFamiliarity with data governance and security best practices in AWS.\nFluent in English (written and spoken).\nSpanish at an intermediate level is a plus.","description_format":"text","description_chars":2188,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Spanish","level":"Intermediate 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