{"id":71260,"url":"https://alion.io/job/blend360-data-engineer-lead-3","title":"Data Engineer Lead","company":{"id":4305,"name":"Blend360","domain":"blend360.com","url":"https://alion.io/company/blend360","size_band":null,"is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":63,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Montevideo, Uruguay"],"countries":["UY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":42000,"max_usd":97000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":771},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","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":"2026-08-10T21:46:04Z","employer_posted_date":"2026-08-10","last_verified_at":"2026-10-29T01:05:15Z","board_verified":true,"closed_at":null,"days_open":79,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":79},"description":"Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com\n The Data Engineer Lead is responsible for designing, developing, and supporting data solutions that enable reporting, business intelligence, and predictive analytics across the organization. The role includes modernizing recurring manual reports by converting Excel workbooks, manual data pulls, and repetitive processes into automated data pipelines and scalable BI solutions. In addition, the role is responsible for supporting the team's predictive model production processes, including model scoring, production data preparation, and ensuring reliable operational execution of analytical models.\nResponsibilities\nDesign, develop, and maintain automated data pipelines and analytics solutions.\nAutomate manual reporting processes and repetitive data workflows.\nOptimize SQL queries, data models, and processing performance.\nSupport production data preparation and model scoring for predictive analytics.\nMonitor data quality, troubleshoot pipeline issues, and improve reliability.\nCollaborate with business and technical stakeholders to deliver scalable data solutions.\nPromote data engineering best practices and drive continuous improvements.\n Required:\nStrong experience as a Data Engineer, Analytical Data Engineer, Analytics Engineer, BI Developer, Reporting Engineer, or similar role, with a proven track record of designing, automating, and delivering production reporting and analytics solutions.\nSQL Server and database expertise. Strong SQL Server development and database management skills, including writing complex queries, optimizing performance, and supporting production reporting and analytical workloads. Ability to translate ambiguous business questions into efficient SQL solutions using joins, window functions, CTEs, and sound data modeling principles.\nProgramming and modern data platforms. Proficiency in Python for automation, data processing, and analytical workflows. Experience working with Databricks to develop, maintain, and support production data pipelines and analytics solutions.\nBusiness Intelligence development. Demonstrated experience developing reports and dashboards using Tableau or comparable BI tools. Ability to design reporting solutions that are actively used by the business and clearly communicate the purpose and value of each report.\nEnd to end automation. Experience taking recurring reporting processes from manual execution to automated production solutions. Comfortable determining when logic belongs in SQL, Python, or another appropriate technology to build scalable and maintainable data workflows.\nPredictive model production. Experience supporting predictive model production processes, including model scoring, production data preparation, workflow scheduling, monitoring, troubleshooting, and ensuring reliable operational execution of analytical models.\nReverse engineering and reconciliation. Ability to interpret an undocumented Excel report, including its filters, joins, date logic, and business rules, and accurately reproduce it. A disciplined approach to reconciling output against a baseline until every discrepancy is explained.\nCommunication with nontechnical stakeholders. Ability to elicit requirements and business rules from report owners who understand what they need but not how it is built.\nPreferred:\nDeep Tableau experience (strong report design in Power BI, Looker, or similar accepted)\nSQL Server or other Microsoft data platforms\nDimensional modeling, including reporting marts, conformed dimensions, and shared fact tables\nExperience modernizing a portfolio of legacy Excel reports\nExperience supporting predictive model production or machine learning operations in a production environment\nExperience in hospitality, vacation ownership, or operational reporting\n Our Perks and Benefits:\nLearning Opportunities:\nCertifications in AWS (we are AWS Partners), Databricks, and Snowflake.\n\nAccess to AI learning paths to stay up to date with the latest technologies.\n\nStudy plans, courses, and additional certifications tailored to your role.\n\nAccess to Udemy Business, offering thousands of courses to boost your technical and soft skills.\n\nEnglish lessons to support your professional communication.\n\nTravel opportunities to attend industry conferences and meet clients.\nMentoring and Development:\nCareer development plans and mentorship programs to help shape your path.\n\nCelebrations & Support:\nSpecial day rewards to celebrate birthdays, work anniversaries, and other personal milestones.\n\nCompany-provided equipment.\n\nFlexible working options to help you strike the right balance.\nOther benefits may vary according to your location in LATAM. 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