{"id":2425077,"url":"https://alion.io/job/fresh-consulting-data-engineer-fresh-consulting","title":"Data Engineer - Fresh Consulting","company":{"id":1964609,"name":"Fresh Consulting","domain":"freshconsulting.com","url":"https://alion.io/company/freshconsulting-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"JazzHR","truth_index":null},"role":"Data Science","role_family":"Data 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BigQuery","optional":false},{"name":"LLM","optional":false},{"name":"Looker","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-13T07:20:15Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T16:30:53Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Fresh Consulting is seeking a Senior Data Engineer (Individual Contributor) to technically lead the design and implementation of cloud-native data platforms for international clients in the US.\nThe successful candidate will not only maintain existing data flows but also design, build, and implement a modern data warehouse from the ground up, laying the foundation for future AI/LLM integrations and automated workflows.\nLocation: Remote (Mexico - Preferred: Monterrey, Mexico City, Guadalajara)\nLanguage Requirement: Fluent professional English (Minimum CEFR C1)\nTravel: Availability to travel to the U.S. quarterly (approximately 1 week per trip)\nKey Responsibilities\nDesign and Construction: Design, build, and operate modern, end-to-end, cloud-native data warehouses.\nPipeline Development: Develop and maintain robust ELT/ETL pipelines that integrate multiple internal systems (servicing, origination, CRM) and third-party data feeds.\nData Modeling: Create scalable data models for reporting, BI (semantic layer), and future AI/ML initiatives.\nGovernance and Security: Implement data quality, governance, and security practices aligned with stringent U.S. financial regulations.\nExecutive Collaboration: Work closely with C-suite stakeholders and directors in the U.S. to translate business requirements into technical data architecture.\nOptimization: Optimize the performance of queries, pipelines, and workflows to ensure efficiency and cost control.\nRequired Skills Microsoft Fabric (highly preferred) OR portable stacks (BigQuery, Snowflake, Databricks).\n4 to 7 years of verifiable experience building end-to-end cloud data warehouses (real projects taken from zero to production), not just maintaining existing systems.\n Cloud Infrastructure: Azure data stack (Data Factory, Synapse, Fabric) or equivalent on AWS/GCP.\n Core Languages: Advanced SQL (dimensional modeling, performance optimization) and Python (transformation, orchestration, scripting).\n BI Tools: Power BI or equivalent (Looker, Tableau, Mode).\nOrchestration and Transformation: Azure Data Factory, Airflow, dbt, Dagster, or similar tools.\nDirect Exposure to Stakeholders: Experience working directly with executives in the U.S.\n Valid US Visa (Minimum B1/B2): Confirmed availability to travel to the US 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