{"id":1578621,"url":"https://alion.io/job/blend360-data-engineer-lead-7","title":"Data Engineer Lead","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":["Guadalajara, Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":113000,"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":"dbt","optional":false},{"name":"SQL","optional":false},{"name":"Amazon S3","optional":true},{"name":"AWS Lambda","optional":true},{"name":"CloudFormation","optional":true},{"name":"Databricks","optional":true},{"name":"ETL/ELT","optional":true},{"name":"Snowflake","optional":true},{"name":"Streamlit","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-09-30T21:16:34Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-09T00:53:56Z","board_verified":true,"closed_at":null,"days_open":8,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":8},"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 expertise in SQL, dbt, and Athena, with experience building modern data transformation and ELT solutions. Experience with AWS data services is a plus, but the primary focus will be on developing and optimizing Athena SQL queries and dbt workflows.\nThis is a client-facing leadership role, ideal for engineers who combine strong technical expertise with excellent communication skills and a proactive mindset. You will play a key role in building reliable, scalable, and high-quality data pipelines that support critical business and analytics workflows.\nWhat will you be doing?\nLead the design and implementation of data ingestion and transformation solutions using SQL and dbt, ensuring scalability, reliability, and maintainability.\n\nOwn the development of end-to-end ELT pipelines using dbt and Athena to transform and process data from multiple sources.\n\nDesign and enforce data quality frameworks, including validation rules, testing strategies, and monitoring.\n\nApply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines.\n\nDevelop and optimize Athena SQL queries and dbt models to support scalable data transformation and analytics workflows.\n\nDevelop and enhance data validation and ingestion frameworks, including UI components (Streamlit-based) when needed.\n\nAct as a technical leader, guiding best practices in SQL, dbt, data engineering, governance, and pipeline reliability.\n\nProactively identify risks, bottlenecks, and data quality issues, and implement mitigation strategies before they impact delivery.\n\nDrive documentation and continuous improvement of data platform processes.\n\nQualifications\nWhat are we looking for?\n5+ years of experience in Data Engineering (strong senior-level or lead mindset expected).\n\nStrong hands-on experience with SQL (Must).\n\nStrong hands-on experience with dbt (Must).\n\nStrong experience building ELT pipelines and data transformation solutions.\n\nStrong experience working with AWS Athena and writing complex SQL queries.\n\nSolid understanding of data modeling and large-scale data processing.\n\nExperience with AWS services and data platforms (Plus)\n\nExperience with tools such as Glue, S3, EMR, Lambda, Terraform, or CloudFormation (Plus).\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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