{"id":2513896,"url":"https://alion.io/job/sequoia-global-services-aws-data-engineer","title":"AWS Data Engineer","company":{"id":6343,"name":"Sequoia Connect","domain":"sequoia-connect.com","url":"https://alion.io/company/sequoia-global-services","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"staff","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":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":129000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":691},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub","optional":false},{"name":"IAM","optional":false},{"name":"OneDrive","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-12T13:39:19Z","employer_posted_date":"2026-10-12","last_verified_at":"2026-10-15T11:57:46Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Description\nAt Sequoia Connect, we are a Talent-First Technology Ecosystem that redefines how elite professionals interact with the global digital landscape. We move beyond traditional models to act as a catalyst for the top 1% of global talent, connecting human potential with complex industrial execution. By joining our inner circle, you are not simply taking a position; you are aligning with a strategic partner dedicated to updating your \"Human OS\" and accelerating your growth through world-class, high-impact projects.\nWe are currently partnering with a rapidly growing, automation-led powerhouse that serves 31 Fortune 500 companies across the financial, healthcare, and manufacturing sectors. With a global workforce of over 32,000 employees and a presence in 28 countries, our client is a titan of digital transformation. Their \"Automate Everything, Cloudify Everything\" strategy ensures you will be working at the absolute forefront of AI-driven automation and cloud solutions.\nThis is your chance to thrive in a \"Customer Success, First and Always\" environment that prizes continuous learning and radical ownership. You will collaborate within an international network of expertise across 39 delivery centers worldwide, gaining exposure to complex engineering challenges that redefine industrial standards. If you are a driven professional looking for a dynamic, forward-thinking workplace where your growth is the priority, this is where you belong.\nWe are currently searching for anAWS Data Engineer:\nThe Challenge (Responsibilities)\nDesign, develop, and maintain automated ETL pipelines using Python and Apache Airflow.\nOrchestrate different pipelines to run in sequence or parallel, tracking job pipeline runs to reprocess error records.\nTroubleshoot data pipeline errors and proactively fix issues.\nExport and Import data to/from various formats (CSV, JSON, XML) primarily from S3 or other cloud storage solutions.\nOptimize complex SQL queries for performance within data warehouse technologies, preferably Snowflake.\nGenerate code using configurations with Python and Jinja templates.\nImplement CI/CD processes from scratch using GitHub.\nYour Profile (Requirements)\n10+ years of Total Experience, with a 100% hands-on approach to the required technical stack.\nAdvanced proficiency in Python concepts (Code Structures, Modules, Packages, Class, SubClass, Inheritance, Multi-Threading, and Functional Programming) and experience developing reusable Python packages.\nAdvanced SQL skills, including complex joins, CTEs, and subqueries.\nProficiency in Python unit, integration, and system testing.\nProficiency in implementing DBT tests for data validation and quality checks.\nIn-depth understanding of AWS S3, ECS, and IAM, including best practices for organization and security.\nKnowledge of AWS security best practices (IAM roles, encryption standards, secure coding guidelines, DBT profiles access configurations).\nExperience utilizing AI IDE tools (e.g., Cursor, GitHub Copilot).\nHigh-Performance Mindset: Resilience, emotional intelligence, and a focus on agile delivery.\nTechnologist DNA: A deep understanding of the difference between \"coding\" and \"engineering.\"\nDesired\nExperience with AWS Lambda for serverless data processing tasks.\nProficiency in using Apache Airflow on AWS to design, schedule, and monitor complex data flows, including integration with AWS services and DBT models (e.g., triggering DBT or EMR, reading from S3 to Redshift/Snowflake).\nExperience in API integrations to Salesforce, SFTP, SharePoint, OneDrive, etc.\nExperience creating complex DBT models (full refresh, incremental, snapshots) and custom DBT macros using Jinja and Python.\nFamiliarity with AWS CloudWatch and Datadog for pipeline monitoring and workflow failure alerts.\nFamiliarity with cloud-native foundations or AI coding assistants.\nLanguages\nAdvanced Oral English: For seamless collaboration with global teams.\nAdvanced Spanish.\nWork Arrangement\nWe value flexibility to support your lifestyle. This position is available as:\nRemote.\nIf you meet these qualifications and are pursuing new challenges, start your application on our website to join an award-winning employer. Explore all our job openings | Sequoia Career’s Page: https://www.sequoia-connect.com/careers/\nRequirements\n10+ Years Experience, 100% Hands-on.\nAdvanced Proficiency in Python concepts (Code Structures, Modules, Packages, Class, SubClass, Inheritance, Multi-Threading, Functional Programming).\nExperience developing reusable Python packages.\nAbility to write automated ETL processes and scheduling jobs like Airflow DAG.\nTroubleshoot data pipeline errors and fix issues.\nExport/Import data to/from CSV, JSON, XML from S3.\nExperience using AI IDE tools.\nAdvanced SQL skills (complex joins, CTEs, subqueries).\nExperience optimizing SQL queries for Snowflake.\nProficiency in Python unit, integration, and system tests.\nProficiency in implementing DBT tests for data validation.\nExperience generating code using Python and Jinja templates.\nExperience in GitHub, implementing CI/CD processes from scratch.\nIn-depth understanding of AWS S3, ECS, IAM.\nKnowledge of AWS security best practices, encryption, secure coding.","description_format":"text","description_chars":5198,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Spanish","level":"Advanced (C1)","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-14T09:27:02Z"}],"visa":[],"liveness":{"score":49,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":0.945,"age_days":2,"expected_fill_days":7,"reasons":["conf:2","agency","win:mid"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/sequoia-global-services-aws-data-engineer","json_url":"https://alion.io/job/sequoia-global-services-aws-data-engineer.json","meta":{"generated_at":"2026-10-15T12:30:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":19233,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6343},"rest":"https://alion.io/mcp/rest/get_company?id=6343"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsequoia-global-services-aws-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fsequoia-global-services-aws-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fsequoia-global-services-aws-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/sequoia-global-services-aws-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsequoia-global-services-aws-data-engineer"}]}