{"schemaVersion":"jobsearcher.job.v1","id":"af005ced0091f01199596aef","url":"https://jobsearcher.com/jobs/af005ced0091f01199596aef","canonicalUrl":"https://jobsearcher.com/jobs/af005ced0091f01199596aef","title":"Junior Data Engineer","description":"At 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 a Junior Data Engineer:\nThe Challenge (Responsibilities)\nAssist in building and maintaining ETL pipelines using Python and PySpark.\nSupport the development of workflows utilizing AWS Glue, Lambda, and Step Functions.\nWork extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.\nWrite complex SQL queries for data extraction, transformation, validation, and reporting.\nHelp implement basic monitoring, logging, and error handling for data pipelines.\nSupport the ingestion and processing of data from APIs and JSON payloads.\nCollaborate with software engineers, data analysts, and business stakeholders to understand requirements.\nContribute to code management, technical documentation, and deployment support activities.\nYour Profile (Requirements)\nDegree holders for the visa application process.\n0 to 4 years of software development or data engineering experience across relevant cloud platforms.\nGood knowledge of Python and SQL.\nSolid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.\nStrong grasp of ETL concepts and data processing fundamentals.\nFamiliarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.\nFamiliarity with PySpark, AWS managed services, data engineering best practices, and code optimization.\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\nExposure to PySpark, Athena, CloudWatch, SNS, and SQS.\nInternship, project, or academic experience specifically in cloud computing, analytics, or data engineering.\nFamiliarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).\nLanguages\nAdvanced Oral English: For seamless collaboration with global teams.\nAdvanced Spanish.\nSpecial Notes\nOur Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.\nWork Arrangement\nWe value flexibility to support your lifestyle. This position is available as:\nRemote\n\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/\n\nRequirements:\n\n0-4 years of software development experience across the appropriate platform.\nGood knowledge on Python and SQL.\nGood understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.\nGood understanding of ETL concepts and data processing fundamentals.\nFamiliarity with GitLab/Terraform and SDLC from development to production.\nFamiliarity to PySpark, AWS managed services, data engineering best practices, and code optimization.\nGood analytical, problem-solving, and communication skills.\n\nKeywords:\nPhyton, SQL, PySpark, AWS Glue, ETL","company":"Sequoiaconnect","rawCompany":"sequoiaconnect","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-12T13:27:38.714Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Junior Data Engineer","description":"At 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 a Junior Data Engineer:\nThe Challenge (Responsibilities)\nAssist in building and maintaining ETL pipelines using Python and PySpark.\nSupport the development of workflows utilizing AWS Glue, Lambda, and Step Functions.\nWork extensively with cloud data storage platforms, including S3, Redshift, RDS, and Oracle.\nWrite complex SQL queries for data extraction, transformation, validation, and reporting.\nHelp implement basic monitoring, logging, and error handling for data pipelines.\nSupport the ingestion and processing of data from APIs and JSON payloads.\nCollaborate with software engineers, data analysts, and business stakeholders to understand requirements.\nContribute to code management, technical documentation, and deployment support activities.\nYour Profile (Requirements)\nDegree holders for the visa application process.\n0 to 4 years of software development or data engineering experience across relevant cloud platforms.\nGood knowledge of Python and SQL.\nSolid understanding of AWS services, specifically S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.\nStrong grasp of ETL concepts and data processing fundamentals.\nFamiliarity with GitLab, Terraform, and the Software Development Life Cycle (SDLC) from development to production.\nFamiliarity with PySpark, AWS managed services, data engineering best practices, and code optimization.\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\nExposure to PySpark, Athena, CloudWatch, SNS, and SQS.\nInternship, project, or academic experience specifically in cloud computing, analytics, or data engineering.\nFamiliarity with cloud-native foundations or AI coding assistants (e.g., GitHub Copilot).\nLanguages\nAdvanced Oral English: For seamless collaboration with global teams.\nAdvanced Spanish.\nSpecial Notes\nOur Client is seeking candidates focused on foundational skill-building in a dynamic cloud environment.\nWork Arrangement\nWe value flexibility to support your lifestyle. This position is available as:\nRemote\n\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/\n\nRequirements:\n\n0-4 years of software development experience across the appropriate platform.\nGood knowledge on Python and SQL.\nGood understanding to AWS services such as S3, SNS/SQS, EMR, Glue, Lambda, Redshift, and Step Functions.\nGood understanding of ETL concepts and data processing fundamentals.\nFamiliarity with GitLab/Terraform and SDLC from development to production.\nFamiliarity to PySpark, AWS managed services, data engineering best practices, and code optimization.\nGood analytical, problem-solving, and communication skills.\n\nKeywords:\nPhyton, SQL, PySpark, AWS Glue, ETL","datePosted":"2026-08-12T13:27:38.714Z","dateModified":"2026-08-12T13:27:38.714Z","hiringOrganization":{"@type":"Organization","name":"Sequoiaconnect","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"af005ced0091f01199596aef"},"url":"https://jobsearcher.com/jobs/af005ced0091f01199596aef"}}