{"id":2639861,"url":"https://alion.io/job/blend360-data-engineer-senior","title":"Data Engineer Senior","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":49,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-16T05:45:00Z"}},"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":["Bogotá, Colombia"],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":80000,"max_usd":206000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true},{"name":"Databricks","optional":true}],"status":"live","first_seen_at":"2026-10-15T18:33:37Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-16T05:38:19Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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 Job Description\nWe’re looking for a Lead Data Engineer to support the design, development, and optimization of data solutions for a high-impact enterprise initiative. This role will focus on preparing and enabling the Snowflake data required for a Dataiku PO agent Proof of Concept (POC).\nThe ideal candidate has strong hands-on experience with Snowflake, SQL, data modeling, and data quality validation. You will be responsible for ensuring that data is properly ingested, transformed, standardized, and structured to support the POC and its downstream analytical workflows.\nYou will work closely with technical and business stakeholders to deliver reliable, high-quality datasets and scalable data pipelines that meet the initiative’s requirements.\nWhat will you be doing?\nPrepare, structure, and enable the Snowflake data required to support the Dataiku PO agent POC.\n\nDesign, develop, and maintain data pipelines to ingest, transform, normalize, and prepare data from multiple sources.\n\nDesign and implement data ingestion workflows in Snowflake, ensuring scalability, reliability, and maintainability.\n\nDevelop and maintain data models that support analytical use cases and the requirements of the POC.\n\nImplement data quality checks and validation rules to ensure data accuracy, consistency, completeness, and reliability.\n\nUse SQL and Python to process, transform, and validate large datasets efficiently.\n\nIdentify and resolve data inconsistencies, anomalies, and structural issues that could affect downstream consumption.\n\nSupport ETL processes and file-handling workflows for structured and semi-structured data.\n\nCollaborate with business and technical stakeholders to understand data requirements and translate them into reliable data solutions.\n\nContribute to technical documentation and continuously improve data processes, standards, and validation practices.\n\n What are we looking for?\n5+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus.\n\nStrong hands-on experience with Snowflake (must-have).\n\nStrong SQL skills, including data transformation, querying, and validation.\n\nExperience with data modeling and preparing datasets for analytical and downstream applications.\n\nProven experience in data quality validation, including implementing checks to ensure accuracy, consistency, and completeness.\n\nExperience building and maintaining ETL pipelines and data ingestion workflows.\n\nHands-on experience with Python for data processing and transformation.\n\nStrong attention to detail and a focus on data reliability and quality.\n\nAbility to collaborate effectively with technical and business stakeholders.\n\nNice to have:\nExperience integrating or connecting Snowflake with Dataiku.\n\nFamiliarity with AI-driven or agent-based proof-of-concept initiatives.\n\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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