{"id":1967638,"url":"https://alion.io/job/blend360-data-engineer-lead-8","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":37,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","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":["Bogotá, Colombia"],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":98000,"max_usd":220000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":521},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-06T15:11:31Z","employer_posted_date":"2026-10-06","last_verified_at":"2026-10-10T22:50:02Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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 uild, maintain, and optimize scalable data solutions to support Journey Analytics initiatives, focusing on code maintainability, reusable components, and reliable data pipelines. This role is responsible for maintaining and refactoring existing codebases, developing modular components, and ensuring high-quality, performant datasets for analytics and reporting use cases.\nThe ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments.\nResponsibilities\nMaintain, optimize, and automate existing code repositories in GitHub.\nRefactor legacy code to simplify maintenance, updates, and reuse across multiple use cases.\nDesign and build modular, reusable code components to support multiple journeys and reduce duplication.\nDevelop and manage automated data pipelines in Databricks to support Journey Analytics datasets and downstream reporting.\nConsolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views.\nBuild and maintain scalable data models to support current and future journey analytics use cases.\nEnsure data quality, performance, and reliability across data pipelines and analytics datasets.\nCollaborate with analytics and engineering teams to improve data processes and architecture.\nQualifications\nHands-on experience developing and maintaining data pipelines in Databricks.\nStrong hands-on experience with Python for data processing and transformation.\nStrong experience with SQL and working with large-scale datasets.\nProven experience in data validation, data transformation, and normalization.\nExperience building and maintaining ETL pipelines and handling data ingestion workflows.\nStrong attention to detail with a focus on data quality and reliability.\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.\nWhat about languages?\nYou will need excellent written and verbal English for clear and effective communication with the team.\nHow much experience must I have?\nIn order to thrive in this role, you must have at least 5+ years of experience in data engineering or similar roles.\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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