{"id":2351988,"url":"https://alion.io/job/blend360-senior-data-engineer-28","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":37,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-13T05:45:00Z"}},"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":["Bogotá, Colombia"],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":159000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:23:42Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-13T04:58:38Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"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 We’re looking for a Senior Data Engineer to support the design, development, and optimization of data solutions for a high-impact enterprise initiative. This role is ideal for someone with strong hands-on experience in data processing, transformation, and validation, who thrives in building reliable and well-structured datasets for analytics and business workflows.\nYou will work closely with cross-functional teams to ensure data is accurate, standardized, and ready for downstream consumption, contributing to scalable and high-quality data pipelines.\nWhat will you be doing?\nDesign, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.\nLead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.\nApply best practices in data validation to ensure accuracy, consistency, and reliability across datasets.\nPerform data transformation and normalization to support analytics and reporting use cases.\nWork with large datasets using SQL and Python to process and analyze data efficiently.\nEnsure data quality by implementing validation rules, checks, and monitoring processes.\nCollaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.\nSupport ETL processes and file handling workflows for structured and semi-structured data.\nContribute to documentation and continuous improvement of data processes and standards.\nWhat are we looking for?\n4+ years of experience in Data Engineering or Data Analytics roles with strong engineering focus.\n Strong hands-on experience with Snowflake (Must).\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.\nAbility to work in cross-functional environments and communicate effectively with stakeholders.\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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