{"schemaVersion":"jobsearcher.job.v1","id":"441dbcaeeb46ca0610db2152","url":"https://jobsearcher.com/jobs/441dbcaeeb46ca0610db2152","canonicalUrl":"https://jobsearcher.com/jobs/441dbcaeeb46ca0610db2152","title":"Senior Data Engineer","description":"Position overview: We are seeking a skilled Data Engineer with experience in Databricks, Snowflake, SQL Server, and cloud technologies. In this role, you will support and manage the organization’s data environment, ensuring reliable data availability and quality. You will serve as a central point of contact for data projects and requests across the organization. The ideal candidate is an independent problem solver with strong communication skills and the ability to work effectively in a rapidly changing environment.\nThe estimated salary range for this position is USD 150,000 to 180,000 per year.\nThis role involves four in-office days per week.\nResponsibilities: Manage Databricks instances, including onboarding datasets, permissions, security, and governance.\nSet up centralized, automated pipelines to import various data sources into the data warehouse.\nSet up automated processes for data refreshes, data validation, and monitoring in the data warehouse.\nManage day-to-day reporting and data requests.\nCollaborate on data policy and governance.\nEnsure data quality and easy data availability for end users.\nBe the central point of contact for organization-wide data requests and projects.\n3+ years of strong experience in Databricks management.\n3+ years of experience working with integrated services on Azure.\n3+ years of experience with object-oriented programming in Python.\n1+ year of experience with agentic coding assistants.\nStrong experience in pipeline creation, security, governance, and Change Data Capture (CDC).\nDemonstrated ability to independently diagnose and resolve pipeline and data quality issues.\nExperience integrating and ingesting data from external APIs.\nExperience deploying production-ready data assets with minimal oversight.\nExperience with Git-based workflows and CI/CD (e.g., GitHub Actions).\nExperience designing data monitoring and validation frameworks.\nProficiency in database design, optimization, and performance tuning.\nExperience in data normalization and compression techniques to optimize data size and performance.\nEnsure data integrity, security, and performance in the modernized database environment.\nShould be comfortable working in a rapidly changing environment with ambiguous requirements.\nFamiliarity with orchestration tools.\nStrong communication and interpersonal skills, with the ability to communicate with business users.\nMust be able to work independently with minimal guidance.\nExperience with financial data, such as trade data, reference data, position data, etc., to build functional calculation modules, reports, and dashboards.\nFamiliarity with reporting tools such as Tableau and Sigma is preferred.","company":"Dataart","rawCompany":"dataart","city":"New York","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-08-22T15:16:59.667Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-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":"Senior Data Engineer","description":"Position overview: We are seeking a skilled Data Engineer with experience in Databricks, Snowflake, SQL Server, and cloud technologies. In this role, you will support and manage the organization’s data environment, ensuring reliable data availability and quality. You will serve as a central point of contact for data projects and requests across the organization. The ideal candidate is an independent problem solver with strong communication skills and the ability to work effectively in a rapidly changing environment.\nThe estimated salary range for this position is USD 150,000 to 180,000 per year.\nThis role involves four in-office days per week.\nResponsibilities: Manage Databricks instances, including onboarding datasets, permissions, security, and governance.\nSet up centralized, automated pipelines to import various data sources into the data warehouse.\nSet up automated processes for data refreshes, data validation, and monitoring in the data warehouse.\nManage day-to-day reporting and data requests.\nCollaborate on data policy and governance.\nEnsure data quality and easy data availability for end users.\nBe the central point of contact for organization-wide data requests and projects.\n3+ years of strong experience in Databricks management.\n3+ years of experience working with integrated services on Azure.\n3+ years of experience with object-oriented programming in Python.\n1+ year of experience with agentic coding assistants.\nStrong experience in pipeline creation, security, governance, and Change Data Capture (CDC).\nDemonstrated ability to independently diagnose and resolve pipeline and data quality issues.\nExperience integrating and ingesting data from external APIs.\nExperience deploying production-ready data assets with minimal oversight.\nExperience with Git-based workflows and CI/CD (e.g., GitHub Actions).\nExperience designing data monitoring and validation frameworks.\nProficiency in database design, optimization, and performance tuning.\nExperience in data normalization and compression techniques to optimize data size and performance.\nEnsure data integrity, security, and performance in the modernized database environment.\nShould be comfortable working in a rapidly changing environment with ambiguous requirements.\nFamiliarity with orchestration tools.\nStrong communication and interpersonal skills, with the ability to communicate with business users.\nMust be able to work independently with minimal guidance.\nExperience with financial data, such as trade data, reference data, position data, etc., to build functional calculation modules, reports, and dashboards.\nFamiliarity with reporting tools such as Tableau and Sigma is preferred.","datePosted":"2026-08-22T15:16:59.667Z","dateModified":"2026-08-22T15:16:59.667Z","hiringOrganization":{"@type":"Organization","name":"Dataart","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"441dbcaeeb46ca0610db2152"},"url":"https://jobsearcher.com/jobs/441dbcaeeb46ca0610db2152"}}