{"id":3877113,"url":"https://alion.io/job/crosscountry-consulting-business-intelligence-engineer","title":"Business Intelligence Engineer","company":{"id":59653,"name":"CrossCountry Consulting","domain":"crosscountry-consulting.com","url":"https://alion.io/company/crosscountry-consulting","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":78,"open_postings":93,"ghost_share":0.28,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":97,"computed_at":"2026-11-11T05:49:22Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Cortex","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"Power BI","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Dagster","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Fivetran","optional":true},{"name":"Prometheus","optional":true},{"name":"Python","optional":true},{"name":"Tableau","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-05T21:44:03Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-11T15:47:26Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":5},"description":"We’rebuilding a modern enterprise data warehouse on Snowflake and need a BI Engineer who will serve as our in-house data engineering expert for the BI platform. You’llbuild and maintainthe transformation layer, data models, and Snowflake environment behind our reporting, working alongside the integrations team that handles sourcing and landing. You’llpartner with finance, sales, and operations leaders to define metrics and deliver trusted reporting end to end. And, as a member of the Data and Business Intelligence team, you’llalso help build the Power BI dashboards when the work calls for it.\nWhat You'll Do:\nMaintain the BI Snowflake environment: schemas, roles and access, performance tuning, warehouse sizing, and cost monitoring\n\nBuild and optimizePower BI semantic models and dashboards (star schemas, DAX measures, row-level security), tuning DirectQueryand Import models against Snowflake\n\nTranslate business requirements, KPIs, and metric definitions into technical designs.\n\nSet engineering standards for naming, code review, CI/CD, and documentation\n\nPartner with the integrations team to define what the BI platform needs from landed data and resolve upstream issues\n\nOwn data quality in the transformation layer: testing, monitoring, reconciliation, and root-cause analysis\n\nWrite complex, performant SQL to model, transform, and validatedata\n\nDevelop and maintain dbtmodels (staging, intermediate, marts) with tests, documentation, and version control\n\nSet up and tune Snowflake Cortex Analyst and Semantic Views so natural-language questions return accurateanswers\n\nEvaluate, test, and pilot AI-enabled analytics, such as natural language querying over semantic models, AI-generated commentary, and automated variance explanation.\n\nMentor analysts and stakeholders on data models and self-service\n\nPitch in with PowerBIreport and dashboard buildswhen needed.\n\nWhat You'll Bring:\n5+ years in data engineering, analytics engineering, or BI engineering\n\nBachelor’s degree in Finance, IT, Information Systems, Engineering, or a related field (or equivalent experience)\n\nAdvanced SQL and dbt, with a solid grasp of dimensional modeling and data warehousing concepts\n\nDeep hands-on Snowflake experience, including performance tuning, access control, and cost management\n\nStrong Power BI skills, including DAX, data modeling, and publishing and managing workspaces\n\nGit and CI/CD experience for analytics code\n\nWorking fluency with AI tools in analytics or engineering work, with sound judgment about their limits, including inaccurate or ungrounded answers\n\nClear communication with technical and non-technical audiences, and the ability to translate business needs into technical requirements and carry them through to deployment with strong attention to detail\n\nPreferred Qualifications:\nExperience building ELT pipelines and data ingestion (Fivetran or similar, including API-based sources)\n\nPython for scripting and automation\n\nExperience with orchestration tools (Airflow, Dagster, or similar)\n\nInfrastructure-as-code experience (Terraform or similar) for Snowflake\n\nHands-on experience with Snowflake Cortex Analyst, semantic views, or similar natural-language-to-SQL tools\n\nFamiliarity with data governance, cataloging, and lineage tooling\n\nBackground in finance, FP&A, or sales analytics\n\nExposure to Tableau or other BI 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