{"id":71308,"url":"https://alion.io/job/blend360-senior-data-engineer-17","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":75,"open_postings":128,"ghost_share":0.5,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-11-05T05:54:30Z"}},"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":["Buenos Aires, Argentina"],"countries":["AR"],"hiring_countries":["AR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":114000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Cortex","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Prometheus","optional":true}],"status":"closed","first_seen_at":"2026-06-05T18:54:37Z","employer_posted_date":"2026-06-05","last_verified_at":"2026-11-05T13:54:27Z","board_verified":false,"closed_at":"2026-11-05T13:54:27Z","days_open":152,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":152},"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.\nFor more information, visit www.blend360.com\n We’re looking for a Senior Data Engineer with strong expertise in Snowflake-based data platforms, AWS, and Airflow, to lead the design and implementation of scalable ingestion and orchestration solutions for a leading enterprise client.\nThis is a client-facing role, ideal for engineers who combine deep technical expertise with strong communication skills and a proactive mindset. You will play a key role in ensuring high-quality, governed, and reliable data pipelines that power critical business and analytics workflows.\nWhat will you be doing?\nLead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.\nOwn the development of end-to-end ELT pipelines integrating multiple data sources.\nDesign and manage workflow orchestration using Airflow, ensuring efficient scheduling, monitoring, and dependency management.\nDesign and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.\nBuild and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.).\nDevelop and enhance data validation and ingestion frameworks.\nAct as a technical leader, guiding best practices in data engineering, orchestration, governance, and pipeline reliability.\nProactively identify risks, bottlenecks, and data quality issues, and implement mitigation strategies before they impact delivery.\nContribute to data governance initiatives, including data definitions, lineage, and stewardship practices.\nDrive documentation and continuous improvement of data platform processes.\n What are we looking for?\n3+ years of experience in Data Engineering\nStrong hands-on experience with Snowflake (Must)\nExperience building and maintaining data pipelines in AWS (Must)\nStrong experience building ELT pipelines and data ingestion solutions\nStrong experience with Airflow for workflow orchestration (Must)\nSolid experience with SQL and large-scale data processing\nExperience with data quality, validation frameworks, and governance practices\nFamiliarity with Snowflake Cortex (Plus)\nExperience with CI/CD pipelines for data workflows (Plus)\nExperience with Iceberg tables and Snowflake data sharing (Plus)\nExperience with tools such as dbt, Glue, Athena, EMR, Lambda, Terraform, or CloudFormation (Plus)\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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