{"id":2041106,"url":"https://alion.io/job/blend360-lead-data-engineer-7","title":"Lead 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":16,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","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":49000,"max_usd":111000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":521},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-07T17:56:49Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-09T00:53:56Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"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 Lead Data Engineer with strong experience designing, developing, and maintaining enterprise data solutions. This role will be responsible for the design, structure, integration, and maintenance of data across data warehouses, operational data stores, and other enterprise data infrastructures.\nThe ideal candidate combines strong technical expertise in SQL, data engineering, ETL, data integration, and data architecture with strong analytical and problem-solving skills. This person will work closely with technical and business stakeholders to design reliable data solutions, optimize high-volume workloads, and ensure data is accurate, accessible, and fit for business needs.\nWhat will you be doing?\nOwn the middle layer of the data pipeline, combining Quantum interaction data with account, device, and other operational data sources.\nBuild and maintain ETL workflows that transform data on daily, weekly, and monthly schedules.\nDevelop and manage AWS processing resources, validate outputs, and prepare reliable datasets for Tableau.\nDesign and maintain application data structures that minimize compute requirements and support efficient dashboard performance.\nInvestigate data discrepancies, troubleshoot pipeline issues, and adapt workflows as application features and reporting needs evolve.\nCollaborate with the engineering lead, fellow data engineers, application developers, and data product owners as pipelines grow in complexity.\n What are we looking for?\n+ 5 years of experience in Data Engineering, Data Architecture, or a related field.\n\nStrong hands-on AWS experience, including managing resources for data processing.\nProficiency in SQL and experience with Spark.\nExperience building ETL pipelines, integrating multiple data sources, and organizing data for analytics.\nAn investigative mindset and the ability to independently work through ambiguous technical problems.\nA collaborative approach, with the ability to take ownership of assigned work within an established team.\nAdvanced English (B2+)\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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