{"id":71287,"url":"https://alion.io/job/blend360-data-engineer-manager-6","title":"Data Engineer Manager","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":64,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-10-31T05:58:55Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","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":["Santiago, Chile"],"countries":["CL"],"hiring_countries":["CL"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":53000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-07-21T17:45:40Z","employer_posted_date":"2026-07-21","last_verified_at":"2026-10-31T06:54:56Z","board_verified":true,"closed_at":null,"days_open":101,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":101},"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 Lead, design, and scale data solutions to support Journey Analytics initiatives, with a strong focus on code quality, reusability, and reliable data platforms. This role is responsible for setting the technical direction, overseeing the evolution of data architectures, and leading a team of data engineers to deliver high-quality, performant datasets for analytics and reporting use cases.\nThe ideal candidate combines strong hands-on data engineering expertise with people leadership experience, and has a proven track record of driving scalable solutions in cross-functional environments.\nResponsibilities\nLead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards.\nDefine and drive the technical strategy for Journey Analytics data platforms, ensuring scalability, maintainability, and performance.\nOversee the maintenance, optimization, and automation of code repositories in GitHub, ensuring high-quality and consistent development practices.\nGuide the refactoring of legacy codebases to improve maintainability, scalability, and reusability across multiple use cases.\nDrive the design and implementation of modular, reusable data components to support multiple journeys and reduce duplication.\nOversee the development and management of automated data pipelines in Databricks, ensuring reliability and scalability for downstream consumption.\nEstablish and enforce standards for scalable data modeling to support current and future analytics use cases.\nEnsure data quality, governance, performance, and reliability across all data pipelines and datasets.\nPartner with analytics, product, and engineering stakeholders to align data solutions with business needs and priorities.\nProactively identify risks, bottlenecks, and improvement opportunities, and drive mitigation strategies at a team and platform level.\nPromote continuous improvement of data processes, documentation, and engineering practices.\n 7+ years of experience in Data Engineering.\nStrong experience working with GitHub repositories and version control workflows.\nHands-on experience developing and maintaining data pipelines in Databricks.\nProven experience refactoring and maintaining legacy codebases.\nStrong understanding of data modeling and reusable component design.\nExperience building scalable data models for analytics and reporting use cases.\nStrong focus on data quality, performance, and reliability.\nAbility to work in cross-functional environments and contribute to continuous improvement.\nAbility to work independently and take ownership of initiatives after receiving high-level direction, driving tasks forward with minimal supervision.\nExperience using Genie (Databricks) (Plus).\n Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.\nAccess to AI learning paths to stay up to date with the latest technologies.\nStudy plans, courses, and additional certifications tailored to your role.\nAccess to Udemy Business, offering thousands of courses to boost your technical and soft skills.\nEnglish lessons to support your professional communication.\nTravel opportunities to attend industry conferences and meet clients.\nCareer development plans and mentorship programs to help shape your path.\nSpecial day rewards to celebrate birthdays, work anniversaries, and other personal milestones.\nCompany-provided equipment.\nFlexible working options to help you strike the right balance.\nOther benefits may vary according to your location in LATAM. 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