{"id":749976,"url":"https://alion.io/job/gocollectiv-data-analytics-engineer","title":"Data & Analytics Engineer","company":{"id":692787,"name":"Collectiv","domain":"gocollectiv.com","url":"https://alion.io/company/gocollectiv","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Breezy","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":105000,"max_usd":228000,"period":"year","method":"role_country_seniority_unknown","sample_n":3203},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Power BI","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true}],"status":"live","first_seen_at":"2026-09-04T15:51:50Z","employer_posted_date":"2026-09-04","last_verified_at":"2026-10-15T12:44:56Z","board_verified":true,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"Role Overview\nThe Data & Analytics Engineer is Collectiv’s most versatile technical consultant, combining deep data engineering expertise with advanced Power BI and analytics delivery capabilities. This role closes the gap between backend data platform work and front-end analytics, enabling a single consultant to take a client from raw data ingestion through to polished, insight-ready dashboards.\nYou design and implement modern lakehouse architectures on Microsoft Fabric and Databricks, build performant ELT/ETL pipelines, develop rich semantic models, and deliver complex Power BI reports, all while acting as a trusted technical advisor to enterprise clients. You thrive on translating ambiguous business requirements into scalable, well-documented technical solutions and are equally comfortable deep in Spark transformations or fine-tuning DAX formulas.\nThis role sits at the intersection of Collectiv’s Data Engineering and Senior Power BI Consultant practices and is designed for experienced professionals who refuse to choose a lane.\nKey Responsibilities\nData Platform & Lakehouse Engineering\nDesign and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory) and Databricks (Spark, Delta Lake, SQL Warehouses) \nBuild and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices \nDevelop scalable lakehouse architectures that support analytics, reporting, and downstream data products \nTranslate business and analytical requirements into technical data models (star schemas, semantic models, lakehouse patterns) \nWrite, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads \nApply version control, CI/CD concepts, and code review standards to all data engineering workflows \nPower BI & Analytics Delivery\nDesign and implement complex data models utilizing Power BI, including enterprise-grade semantic layer development \nCreate visually compelling, interactive reports and dashboards that drive measurable client decisions \nDevelop, optimize, and peer-review DAX formulas for accuracy and performance at scale \nIntegrate data from diverse sources into Power BI, leveraging SQL skills for efficient extraction and transformation \nEnsure data quality, reliability, and usability across the analytics platform \nEnable self-service analytics by partnering with client business teams to deliver trusted datasets and dashboards \nClient Consulting & Advisory\nWork directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations \nProvide expert guidance on Power BI solutions and data platform decisions; ensure precision in all data discussions \nConduct in-depth research on emerging tools and trends to keep clients ahead of the curve \nAct as a core technical asset in Collectiv’s marketing and business development efforts \nFacilitate training sessions and support client teams through platform adoption and change \nBuild strong client relationships through clear communication, confidence with stakeholders, and a warm, personable presence \nTake a proactive approach to delivery and client relationships by anticipating needs, following through on commitments, and looking for opportunities to add value \nEngineering Excellence & Collaboration\nCollaborate with project managers, architects, and fellow consultants to align technical delivery with project goals \nEnsure solutions meet quality criteria related to performance, scalability, security, and maintainability \nContribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv \nParticipate in post-project retrospectives and contribute to Collectiv’s data platform standards \nRequired Qualifications\nBachelor’s degree from an accredited university \n5+ years of combined experience in data engineering, analytics engineering, and/or BI consulting \nHands-on production experience with Microsoft Fabric and/or Databricks (both strongly preferred) \nAdvanced proficiency in Power BI, including complex data modeling, DAX authoring, and performance optimization \nPower BI dataset modeling at enterprise scale and embedding/API scenarios \nStrong SQL skills, including performance tuning and analytical query design \nExperience designing analytics data models (star schemas, semantic models, lakehouse patterns) \nDemonstrated ability to integrate data from diverse sources into both data platforms and BI tools \nProven track record in a client-facing consulting role, working independently and managing stakeholder expectations \nStrong written and verbal communication style; data-filled, precise, and client-ready \nPreferred Qualifications\nExperience migrating or modernizing legacy data warehouses to lakehouse architectures \nExperience integrating data platforms with downstream applications or external APIs \nConsulting experience spanning multiple clients, industries, or verticals \nRelevant certifications: Azure Solutions Architect, Azure Data Engineer, Microsoft Fabric (DP-600/DP-700), Databricks certifications \nExposure to advanced analytics use cases: AI/ML model integration, predictive dashboards, or advanced statistical analysis \nWhat Success Looks Like\nClients trust you as their go-to technical advisor across both data platform and analytics decisions \nDelivered solutions are scalable, well-documented, secure, and aligned to best practices \nConsistently maintain a minimum 75% utilization rate by balancing high-quality client delivery, internal collaboration, and business priorities. \nBusiness users are fully enabled through reliable semantic models and analytics-ready datasets \nPower BI reports you build are cited by clients as transformative to their decision-making process \nYou actively contribute to Collectiv’s data platform standards and continuously raise the bar for consulting excellence \nYou serve as a force multiplier; unblocking teammates and elevating the quality of every engagement you touch \nWhy Collectiv\nJoin Collectiv for a rewarding career in a fully remote work environment with quarterly in-person team experiences and competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.\nCollectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.\nOur mission at Collectiv is simple: We help enterprises make better decisions.\nOur Core Values\nGrowth Mindset - Bring solutions, not problems.\nExcel with Humility - Be humbly brilliant.\nCommunicate Actively and Empathetically - Listen, ask, understand, help.\nWork Hard, Play Hard - Results are proportional to effort.\nKeep Calm and Carry On - Stay cool, calm and Collectiv.\nCollectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning, and AI with Power BI and the Microsoft Data Stack. Our mission: We help enterprises make better decisions.","description_format":"text","description_chars":7531,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Health insurance","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-11T15:26:41Z"}],"visa":[],"liveness":{"score":34,"band":"fade","label":"Fading","p_open":1,"p_active":0.616,"p_room":0.55,"age_days":40,"expected_fill_days":39,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/gocollectiv-data-analytics-engineer","json_url":"https://alion.io/job/gocollectiv-data-analytics-engineer.json","meta":{"generated_at":"2026-10-15T13:57:35Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":21378,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":692787},"rest":"https://alion.io/mcp/rest/get_company?id=692787"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgocollectiv-data-analytics-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgocollectiv-data-analytics-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgocollectiv-data-analytics-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gocollectiv-data-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgocollectiv-data-analytics-engineer"}]}