{"id":3394049,"url":"https://alion.io/job/kake-senior-data-engineer-aiml-azure","title":"Senior Data Engineer (AI/ML & Azure)","company":{"id":4454565,"name":"Kake","domain":"kake.co","url":"https://alion.io/company/kake-2","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":32,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-11-02T06:13:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"inferred_payroll_markers","remote_working_hours":{"label":"UTC-8 – UTC-5","utc_offset_min":-8,"utc_offset_max":-5},"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":85000,"max_usd":191000,"period":"year","method":"global_role_seniority_cell","sample_n":2679},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-09-28T20:42:49Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-03T01:04:38Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"We’re looking for a Data Engineer with a strong AI/ML focus to join a data engineering team supporting modern data and AI initiatives. The ideal candidate has hands-on experience with Python, Azure Data Factory, Azure Machine Learning, and Microsoft Fabric, along with a solid understanding of data engineering and AI/ML workflows. This is a client-facing role, so strong communication and the ability to translate technical concepts into clear, practical solutions are essential. The role is well suited for someone who enjoys working across data engineering and emerging AI technologies in a collaborative, fast-paced environment.\nKey Responsibilities\nDesign, build, and maintain scalable data pipelines and data engineering solutions.\nDevelop and manage data workflows using Python and Azure Data Factory.\nWork with Microsoft Fabric to build and support modern data solutions.\nLeverage Azure Machine Learning and related technologies to support AI/ML initiatives.\nPrepare, transform, integrate, and optimize data for analytics, machine learning, and AI use cases.\nCollaborate directly with clients to understand requirements and translate business needs into technical solutions.\nCommunicate technical concepts, architecture decisions, and recommendations clearly to technical and non-technical stakeholders.\nCollaborate with data scientists, engineers, and other stakeholders to deliver data and AI solutions.\nIdentify opportunities to improve data pipelines, processes, and AI/ML workflows.\nCore Requirements\nStrong professional experience in Data Engineering.\nStrong hands-on experience with Python.\nExperience with Azure Data Factory.\nExperience with Azure Machine Learning or similar Azure AI/ML services.\nExperience with Microsoft Fabric.\nSolid understanding of data pipelines, data transformation, and modern data architectures.\nStrong understanding of AI/ML concepts and workflows.\nExperience working directly with clients or other external stakeholders.\nExcellent written and verbal communication skills in English.\nAbility to work independently in a remote, fast-paced environment.\nNice-to-Have\nExperience productionizing machine learning models or AI solutions.\nExperience with additional Azure data and AI services.\nExperience with LLMs, Generative AI, or AI-powered applications.\nExperience in consulting or other client-facing technical environments.\nAdditional\nUS Timezone Overlap: 6-7h with PST.\nStrong client-facing presence 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