{"schemaVersion":"jobsearcher.job.v1","id":"8ee38f36760825da4a699919","url":"https://jobsearcher.com/jobs/8ee38f36760825da4a699919","canonicalUrl":"https://jobsearcher.com/jobs/8ee38f36760825da4a699919","title":"Data Engineer","description":"Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.\n\nRecruiting for this role ends on Sep, 30th 2026.\n\nWork you'll do/Responsibilities\n\nAs part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.\n\nKey responsibilities include:\n\nArchitect, build, and operate scalable batch and near-real-time data pipelines on AWS.\nDesign robust ingestion patterns from source systems into S3 and into Snowflake.\nDevelop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.\nImplement orchestration and workflow automation on AWS with retries, backfills, and idempotency.\nBuild reusable Python components for ingestion, validation, and transformations; enforce standards via code reviews and testing.\nOptimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.\nPartner with stakeholders to translate requirements into well-defined datasets and data contracts.\nCommunicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management\nIndependently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes\n\nThe Team\n\nAI& Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.\n\nQualifications\n\nRequired\n\n7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.\n7+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.\n7+ years of experience designing, building, and operating batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).\nExperience with data integration frameworks and orchestration tools.\nProficiency in designing and implementing Lakehouse/warehouse architectures and ELT patterns.\nKnowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code.\nAbility to optimize data storage, partitioning, file formats (Delta, Parquet), and performance.\nUnderstanding of data quality, data governance, and metadata management.\nBachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.\nLimited immigration sponsorship may be available.\nAbility to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.\n\nPreferred\n\nAgile delivery experience (5-10 years).\nAnalytical ability to manage multiple projects and prioritize tasks into manageable work products.\nCan operate independently or with minimum supervision.\nExcellent written and communication skills.\nAbility to deliver technical demonstrations.\n\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,750 to $171,250.\n\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.","company":"Deloitte","rawCompany":"deloitte","city":"Jericho","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-08T07:57:52.968Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Delivery Talent Model. Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite client service delivery.\n\nRecruiting for this role ends on Sep, 30th 2026.\n\nWork you'll do/Responsibilities\n\nAs part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.\n\nKey responsibilities include:\n\nArchitect, build, and operate scalable batch and near-real-time data pipelines on AWS.\nDesign robust ingestion patterns from source systems into S3 and into Snowflake.\nDevelop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.\nImplement orchestration and workflow automation on AWS with retries, backfills, and idempotency.\nBuild reusable Python components for ingestion, validation, and transformations; enforce standards via code reviews and testing.\nOptimize Snowflake performance and cost warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.\nPartner with stakeholders to translate requirements into well-defined datasets and data contracts.\nCommunicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management\nIndependently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes\n\nThe Team\n\nAI& Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.\n\nQualifications\n\nRequired\n\n7+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.\n7+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.\n7+ years of experience designing, building, and operating batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).\nExperience with data integration frameworks and orchestration tools.\nProficiency in designing and implementing Lakehouse/warehouse architectures and ELT patterns.\nKnowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code.\nAbility to optimize data storage, partitioning, file formats (Delta, Parquet), and performance.\nUnderstanding of data quality, data governance, and metadata management.\nBachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.\nLimited immigration sponsorship may be available.\nAbility to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.\n\nPreferred\n\nAgile delivery experience (5-10 years).\nAnalytical ability to manage multiple projects and prioritize tasks into manageable work products.\nCan operate independently or with minimum supervision.\nExcellent written and communication skills.\nAbility to deliver technical demonstrations.\n\nThe wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,750 to $171,250.\n\nYou may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.","datePosted":"2026-09-08T07:57:52.968Z","dateModified":"2026-09-08T07:57:52.968Z","hiringOrganization":{"@type":"Organization","name":"Deloitte","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jericho","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8ee38f36760825da4a699919"},"url":"https://jobsearcher.com/jobs/8ee38f36760825da4a699919"}}