{"schemaVersion":"jobsearcher.job.v1","id":"8c6b15077600042ebf74cbc4","url":"https://jobsearcher.com/jobs/8c6b15077600042ebf74cbc4","canonicalUrl":"https://jobsearcher.com/jobs/8c6b15077600042ebf74cbc4","title":"Data Engineer","description":"Working model: Hybrid | Type: Full-time Accepted is a software and digital transformation services firm helping clients accelerate innovation in Finance, Energy, Gaming, Telco, and beyond . With 20+ years of engineering excellence, we're known for building outcome-driven solutions and high-performing teams that feel like part of your own. We're looking for a Data Engineer to strengthen our hybrid delivery teams.What You'll DoPipeline Development: Design, develop, and maintain data pipelines to ensure efficient and reliable data processing; Data Modeling: Implement and optimize data models, data storage, and data integration solutions; Data Transformation : Perform data profiling, data cleansing, and data transformation activities; Monitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.What You'll Bring Proficiency in programming languages with a focus on data analytics (ideally Python & PySpark); Minimum 3 years of professional development experience in SQL, ETL & DW; Expertise in modern data warehousing techniques (Kimbal/Inmon data modeling, Data Vault 2.0); Practical knowledge with a Cloud Platform (e.g. Azure, Databricks); Solid understanding of Microsoft Business Intelligence solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI); Experience with a workflow/orchestration engine (e.g. Airflow, Prefect, Dagster); Familiar with Git or other version control tools; A degree in Computer Science or related field.Why Accepted Competitive compensation aligned with your experience and skills; Annual bonus scheme linked to company performance; Private medical, dental, and life insurance coverage; Ongoing professional development through training and certifications; Structured mentoring to support your growth and advancement. All applications are confidential. We are proud to be an Equal Opportunity Employer.","company":"Accepted","rawCompany":"accepted","city":"Brooklyn","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-09-04T04:52:38.609Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Data Engineer","description":"Working model: Hybrid | Type: Full-time Accepted is a software and digital transformation services firm helping clients accelerate innovation in Finance, Energy, Gaming, Telco, and beyond . With 20+ years of engineering excellence, we're known for building outcome-driven solutions and high-performing teams that feel like part of your own. We're looking for a Data Engineer to strengthen our hybrid delivery teams.What You'll DoPipeline Development: Design, develop, and maintain data pipelines to ensure efficient and reliable data processing; Data Modeling: Implement and optimize data models, data storage, and data integration solutions; Data Transformation : Perform data profiling, data cleansing, and data transformation activities; Monitoring & Troubleshooting: Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.What You'll Bring Proficiency in programming languages with a focus on data analytics (ideally Python & PySpark); Minimum 3 years of professional development experience in SQL, ETL & DW; Expertise in modern data warehousing techniques (Kimbal/Inmon data modeling, Data Vault 2.0); Practical knowledge with a Cloud Platform (e.g. Azure, Databricks); Solid understanding of Microsoft Business Intelligence solutions (SQL Server, SSIS, SSAS, Azure Data Factory, Power BI); Experience with a workflow/orchestration engine (e.g. Airflow, Prefect, Dagster); Familiar with Git or other version control tools; A degree in Computer Science or related field.Why Accepted Competitive compensation aligned with your experience and skills; Annual bonus scheme linked to company performance; Private medical, dental, and life insurance coverage; Ongoing professional development through training and certifications; Structured mentoring to support your growth and advancement. All applications are confidential. We are proud to be an Equal Opportunity Employer.","datePosted":"2026-09-04T04:52:38.609Z","dateModified":"2026-09-04T04:52:38.609Z","hiringOrganization":{"@type":"Organization","name":"Accepted","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brooklyn","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8c6b15077600042ebf74cbc4"},"url":"https://jobsearcher.com/jobs/8c6b15077600042ebf74cbc4"}}