{"id":71256,"url":"https://alion.io/job/blend360-senior-data-engineer-2","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":50,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":15,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","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":60000,"max_usd":154000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Cortex","optional":true},{"name":"Databricks","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-08-13T17:08:19Z","employer_posted_date":"2026-08-13","last_verified_at":"2026-10-18T02:23:40Z","board_verified":true,"closed_at":null,"days_open":65,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":65},"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 act as a key executor in the implementation of data governance and privacy solutions for a high-impact enterprise initiative. This role combines strong hands-on data engineering expertise with a focus on data privacy, governance, and automation.\nYou will play a critical role in developing and implementing scalable solutions for sensitive data handling, ensuring compliance, and improving data quality across modern cloud data platforms.\nWhat will you be doing?\nDevelop and implement Snowflake-based data governance solutions to support secure and scalable data usage.\nBuild and maintain automated data privacy processes, including detection, classification, and remediation workflows.\nExecute PII discovery processes, including confidence scoring and validation of sensitive data identification.\nImplement data masking and obfuscation techniques, including agent-based approaches.\nSupport and execute data cleanup initiatives across multiple datasets and platforms.\nAssist with JSON field privacy remediation, ensuring proper handling of semi-structured sensitive data.\nDesign, build, and maintain ETL/ELT pipelines to support governance and privacy use cases.\nWork with AWS services (S3, Glue, Lambda, AgentCore) to orchestrate and automate data workflows.\nDevelop automation scripts to improve efficiency, scalability, and repeatability of data processes.\nCollaborate with cross-functional teams to align data governance and privacy solutions with business and compliance requirements.\nEnsure data quality, reliability, and performance across all implemented solutions.\nWhat are we looking for?\n4+ years of experience in Data Engineering with a strong hands-on focus.\nStrong experience with Snowflake and SQL (Must).\nProven experience in data engineering, ETL/ELT pipelines, and cloud data platforms.\nHands-on experience with PII discovery and classification, including confidence scoring (Must).\nExperience implementing data masking solutions using agents or automated frameworks (Must).\nStrong experience with JSON data processing and handling semi-structured data.\nExperience with AWS services, including S3, Glue, Lambda, and data pipeline orchestration (Must).\nExperience developing automation scripts (Python or similar).\nStrong understanding of data privacy implementation and best practices.\nAbility to work as a hands-on executor and independently drive solutions end-to-end.\nNice to have\nBackground in Data Governance frameworks and best practices.\nFamiliarity with CoCo and Cortex.\nExperience working in regulated environments or handling sensitive data.\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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