{"schemaVersion":"jobsearcher.job.v1","id":"351d012c3e3387a63cc93ce1","url":"https://jobsearcher.com/jobs/351d012c3e3387a63cc93ce1","canonicalUrl":"https://jobsearcher.com/jobs/351d012c3e3387a63cc93ce1","title":"Sr. Data Engineer","description":"Sr. Data EngineerWe are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines that support the organization's growing data infrastructure needs. This role is focused on the engineering and optimization of data pipelines and will play a key part in ensuring data flows efficiently, reliably, and securely across systems. The successful candidate will work closely with cross-functional teams to streamline data pipeline architecture and improve overall data delivery performance.Responsibilities:Design, develop, and maintain robust, scalable data pipelines to support ingestion, transformation, and delivery of data across the organizationOptimize existing data pipeline architecture for performance, reliability, and cost-efficiencyBuild and maintain ETL/ELT processes using Databricks as the primary platformMonitor pipeline health, troubleshoot data flow issues, and implement fixes to minimize downtime and data lossCollaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into scalable technical solutionsImplement and enforce data quality, validation, and governance best practices across pipelinesPartner with infrastructure/platform teams to ensure pipelines are secure, well-documented, and maintainableIdentify opportunities to automate manual data processes and improve pipeline efficiencySupport data migration and integration efforts as the organization's data ecosystem evolvesDocument pipeline architecture, data flows, and technical processes for internal knowledge sharingRequirements:Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experienceDemonstrated professional experience as a Data Engineer, with a strong focus on building and optimizing data pipelinesRequired Skills:Hands-on experience with Databricks (required)Strong proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala)Solid understanding of ETL/ELT design patterns, data warehousing concepts, and pipeline orchestrationExperience working with large-scale, distributed data processing frameworks (e.g., Apache Spark)Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP)Strong problem-solving skills and the ability to troubleshoot complex data pipeline issues independentlyExcellent communication skills, with the ability to work cross-functionally with both technical and non-technical stakeholdersPreferred Skills:Experience with pipeline orchestration tools (e.g., Airflow, Databricks Workflows)Familiarity with CI/CD practices as applied to data engineeringExperience implementing data quality monitoring or observability frameworksPrior experience supporting data infrastructure in a growing or scaling organization","company":"Atech Placement","rawCompany":"atech placement","city":"Boonton","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-09-11T04:19:48.832Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"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":"Sr. Data Engineer","description":"Sr. Data EngineerWe are seeking an experienced Data Engineer to design, build, and optimize scalable data pipelines that support the organization's growing data infrastructure needs. This role is focused on the engineering and optimization of data pipelines and will play a key part in ensuring data flows efficiently, reliably, and securely across systems. The successful candidate will work closely with cross-functional teams to streamline data pipeline architecture and improve overall data delivery performance.Responsibilities:Design, develop, and maintain robust, scalable data pipelines to support ingestion, transformation, and delivery of data across the organizationOptimize existing data pipeline architecture for performance, reliability, and cost-efficiencyBuild and maintain ETL/ELT processes using Databricks as the primary platformMonitor pipeline health, troubleshoot data flow issues, and implement fixes to minimize downtime and data lossCollaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into scalable technical solutionsImplement and enforce data quality, validation, and governance best practices across pipelinesPartner with infrastructure/platform teams to ensure pipelines are secure, well-documented, and maintainableIdentify opportunities to automate manual data processes and improve pipeline efficiencySupport data migration and integration efforts as the organization's data ecosystem evolvesDocument pipeline architecture, data flows, and technical processes for internal knowledge sharingRequirements:Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experienceDemonstrated professional experience as a Data Engineer, with a strong focus on building and optimizing data pipelinesRequired Skills:Hands-on experience with Databricks (required)Strong proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python, Scala)Solid understanding of ETL/ELT design patterns, data warehousing concepts, and pipeline orchestrationExperience working with large-scale, distributed data processing frameworks (e.g., Apache Spark)Familiarity with cloud data platforms and services (e.g., AWS, Azure, or GCP)Strong problem-solving skills and the ability to troubleshoot complex data pipeline issues independentlyExcellent communication skills, with the ability to work cross-functionally with both technical and non-technical stakeholdersPreferred Skills:Experience with pipeline orchestration tools (e.g., Airflow, Databricks Workflows)Familiarity with CI/CD practices as applied to data engineeringExperience implementing data quality monitoring or observability frameworksPrior experience supporting data infrastructure in a growing or scaling organization","datePosted":"2026-09-11T04:19:48.832Z","dateModified":"2026-09-11T04:19:48.832Z","hiringOrganization":{"@type":"Organization","name":"Atech Placement","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Boonton","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"351d012c3e3387a63cc93ce1"},"url":"https://jobsearcher.com/jobs/351d012c3e3387a63cc93ce1"}}