{"id":1028199,"url":"https://alion.io/job/blend360-senior-data-engineer-27","title":"Senior Data Engineer","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":36,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Guadalajara, Mexico"],"countries":["MX"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":44000,"max_usd":115000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":5,"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":"2026-09-16T16:32:52Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-09-28T22:43:32Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"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 Build, maintain, and optimize scalable data solutions to support 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 or Snowflake, 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 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.\n Strong experience working with GitHub repositories and version control workflows.\nHands-on experience developing and maintaining data pipelines in Databricks or Snowflake. \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.\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.\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.\nMentoring and Development:\nCareer development plans and mentorship programs to help shape your path.\nCelebrations & Support:\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. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.\nSo what are the next steps?\nOur team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!","description_format":"text","description_chars":4145,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Recruiting & Staffing","AI Consulting & Integration","Analytics & BI Consulting","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-18T12:40:10Z"}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.291,"p_room":0.9,"age_days":11,"expected_fill_days":17,"reasons":["conf:10","stale_co","evergreen","velocity","win:mid","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/blend360-senior-data-engineer-27","json_url":"https://alion.io/job/blend360-senior-data-engineer-27.json","meta":{"generated_at":"2026-09-28T23:20:59Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":958,"day_limit":5000,"remaining_today":4042,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}