{"id":3073949,"url":"https://alion.io/job/lighthouse-autism-center-data-platform-and-bi-engineer","title":"Data Platform and BI Engineer","company":{"id":3866161,"name":"Lighthouse Autism Center","domain":"lighthouseautismcenter.com","url":"https://alion.io/company/lighthouseautismcenter","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Paylocity","truth_index":{"grade":"A","score":95,"open_postings":83,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":284,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Analytics","role_family":"Analytics","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":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":108000,"max_usd":205000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1251},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Git","optional":false},{"name":"HIPAA","optional":false},{"name":"Least Privilege","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"MS SQL","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T18:24:25Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T08:34:02Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":2},"description":"Description\nJob Summary\nThe Data Platform and BI Engineer will partner with business and technology teams to design, build, and support the data models, semantic layers, and analytics that drive clinical, operational, and financial decisions across the organization. This role owns the path from source data to trusted insight: modeling data correctly, making it performant and governed, and turning it into reporting people actually use.\nEssential Duties and Responsibilities\nDesign and maintain dimensional data models that support enterprise reporting across clinical, operations, and finance domains\nBuild and manage reusable, certified semantic models in Power BI/Microsoft Fabric to serve as a single source of truth\nDefine and maintain conformed dimensions, fact table grain, slowly changing dimensions, and business logic\nPartner with engineering on source ingestion, transformation, and warehouse design\nMaintain a data dictionary, business glossary, and lineage documentation for key data assets\nContribute to data governance standards, including data quality rules, naming conventions, and master data definitions\nWork with stakeholders to gather requirements, define KPIs, and prioritize analytics work\nDevelop dashboards, reports, paginated reports, and alerts primarily in Power BI\nWrite efficient, well-structured DAX and Power Query (M), and optimize model and report performance\nImplement row-level and object-level security aligned to HIPAA and least-privilege access requirements\nApply Agile practices to deliver iteratively and refine solutions with the business\nUse source control and deployment pipelines (Git, Fabric/Power BI deployment pipelines) to manage development, test, and production environments\nBuild monitoring and operational reporting for data freshness, pipeline health, SLAs, and error tracking\nTroubleshoot and resolve BI-related support tickets\nCreate technical, troubleshooting, and end-user documentation\nManage workspace, app, and dataset access in coordination with the infrastructure team\nSupport user adoption through training, office hours, and self-service enablement\nDevelop deep expertise in LAC's data sources, including clinical/practice management, billing, HR, and financial systems\nServe as a trusted advisor to business leaders, making consultative recommendations on data-driven approaches to reporting, process improvement, and decision-making\nSupport, maintain, and enhance existing reports, semantic models, and data structures to ensure accuracy, performance, and continued relevance\nRequirements\nQualifications:\nExpert T-SQL: window functions, set-based loaders, MERGE/upsert patterns, hashing for change detection, index-aware query design, and stored-procedure development on Azure SQL / SQL Server.\nDimensional modeling: star schemas, conformed dimensions, SCD Type 1 and 2, surrogate-key strategy, grain design, and event-sourced versus snapshot tradeoffs.\nAzure Data Factory: incremental and watermark loads, pipeline orchestration, triggers, integration runtimes, and JSON source control.\nPower BI: advanced DAX (context transition, relationship functions, performance), Power Query M, PBIP/TMDL source control, and report design for operational users.\nSSDT / database projects: Schema Compare, disciplined manual deployment, and dev/prod parity.\nGit and documentation discipline.\nStrong data-quality instincts: you reconcile across systems before you trust a number, and you fix problems at the source.\nFamiliarity with HIPAA, healthcare data privacy, access controls, audit readiness, and operational compliance expectations. \nQualifications (Preferred):\nWorking knowledge of predictive analytics techniques, such as forecasting, trend analysis, or statistical modeling, to extend BI beyond historical reporting\nFamiliarity with database administration, including performance tuning, indexing, backups, and security in SQL Server or Azure SQL\nKey Competencies\nDimensional modeling: designs star schemas with clear grain, conformed dimensions, and reusable semantic models\nPower BI & Fabric expertise: writes efficient DAX and Power Query, and tunes model and report performance\nAdvanced SQL: writes complex, performant queries and traces data issues back to the source\nData governance & security: protects PHI through row-level security, clear definitions, and quality standards\nBusiness partnership: turns vague questions into defined KPIs and drives agreement on metric logic\nDisciplined delivery: works iteratively with Agile, source control, and thorough testing\nClear communication: explains technical concepts plainly to clinical, operational, and executive audiences\nOwnership: works independently in a remote setting and takes end-to-end accountability for production solutions \nEducation/Experience Requirements\nBachelor's degree in Computer Science, Information Systems, Data Analytics, or related field, or equivalent experience\n5+ years in data engineering, BI development, or analytics engineering, with at least 2 years owning a production warehouse\nPhysical Requirements\nWhile performing the duties of this job, the employee is regularly required to sit for prolonged periods of time. The team member is occasionally required to stand, walk, and use hands to operate a computer keyboard. The team member may occasionally lift and or move up to 25 pounds. 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