{"id":2513932,"url":"https://alion.io/job/sequoia-global-services-data-engineer-sr","title":"Data Engineer Sr","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":"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":["Mexico City, Mexico"],"countries":["MX"],"hiring_countries":["MX"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":138000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Airflow","optional":false},{"name":"Apache NiFi","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-10-05T19:36:51Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-10-14T23:54:34Z","board_verified":true,"closed_at":null,"days_open":9,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":9},"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 global IT powerhouse that represents the connected world through innovative, customer-centric experiences. As a USD 6 billion organization and one of the top 7 IT service providers globally, our client empowers over 1,200 global customers-including several Fortune 500 companies-to \"Rise™.\" With a massive network of 163,000+ professionals across 90 countries, they are at the absolute forefront of digital transformation, leveraging next-generation technologies such as 5G, AI, Blockchain, and Quantum Computing.\nThis is your chance to thrive in a workplace recognized as one of the most sustainable corporations in the world. You will join an environment that values innovation and societal impact, working on end-to-end digital transformation projects for global leaders. If you are a driven professional looking for global career opportunities and exposure to high-impact projects within an international network of expertise, this is where you belong.\nWe are currently searching for a Senior Data Engineer:\nThe Challenge (Responsibilities)\nWork with cutting-edge big data platforms (e.g., Databricks, Apache Spark) at a large scale, pushing the boundaries of data processing and model enablement.\nBuild and maintain robust ETL/ELT pipelines for the ingestion, transformation, and aggregation of large-scale datasets on Hadoop and enterprise data platforms.\nDevelop high-performance data processing jobs using PySpark/Spark and Python on data platforms such as Cloudera and Databricks.\nOptimize pipeline performance and cost through partitioning, file formats, compute tuning, and efficient query patterns.\nContribute to CI/CD for data workflows (testing, code reviews, deployment automation), promoting engineering best practices and maintainable codebases.\nPartner with Product Managers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features.\nYour Profile (Requirements)\nStrong hands-on experience in data engineering, building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms, specifically Databricks).\nHigh proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), and SQL to build Big Data products.\nHands-on experience with cloud data platforms such as Databricks and Snowflake (Databricks preferred).\nExperience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.\nWorking knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.\nStrong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.\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 developing Java-based applications is an added advantage.\nFamiliarity with cloud-native foundations or AI coding assistants.\nLanguages\nAdvanced Oral English: For seamless collaboration with global teams.\nAdvanced Spanish.\nSpecial Notes\nOur Client is seeking proactive engineers ready to push the boundaries of large-scale data processing.\nWork Arrangement We 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\nStrong hands-on experience in data engineering building production-grade pipelines on big data platforms (Hadoop ecosystem and cloud data platforms - databricks).\nHigh proficiency in using Python, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi), SQL to build Big Data products.\nHands-on experience with cloud data platforms such as databricks, snowflake (databricks preferred)\nExperience with orchestration/integration tools such as Apache Airflow, Apache NiFi, or Talend.\nWorking knowledge of DevOps/CI-CD practices: version control (Git), automated testing, release pipelines, and observability.\nStrong problem-solving skills with the ability to debug complex data issues and communicate clearly with technical and non-technical stakeholders.\nExperience developing Java based applications is an added advantage.","description_format":"text","description_chars":5014,"description_truncated":false,"requirements":{"experience_years_min":null,"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":[],"hiring_locations":[{"name":"Mexico","iso":"MX","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Blockchain & Crypto"],"lifecycle":[{"event":"open","at":"2026-10-14T09:27:02Z"}],"visa":[],"liveness":{"score":14,"band":"cold","label":"Long shot","p_open":1,"p_active":0.249,"p_room":0.578,"age_days":9,"expected_fill_days":7,"reasons":["conf:2","agency","win:tail"],"computed_at":"2026-10-15T02:37:12Z"},"pay":null,"html_url":"https://alion.io/job/sequoia-global-services-data-engineer-sr","json_url":"https://alion.io/job/sequoia-global-services-data-engineer-sr.json","meta":{"generated_at":"2026-10-15T02:37:12Z","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":3859,"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-data-engineer-sr"},{"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-data-engineer-sr"},{"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-data-engineer-sr"},{"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-data-engineer-sr\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsequoia-global-services-data-engineer-sr"}]}