{"schemaVersion":"jobsearcher.job.v1","id":"9e3fc43071a0c87f7f5e5ff3","url":"https://jobsearcher.com/jobs/9e3fc43071a0c87f7f5e5ff3","canonicalUrl":"https://jobsearcher.com/jobs/9e3fc43071a0c87f7f5e5ff3","title":"Data Engineer","description":"Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and building next-generation data platforms, Ascentt offers an exciting opportunity to create real-world impact at scale.We are looking for a passionate and highly motivated Data Engineer to join our growing data team. In this role, you will work on building scalable data platforms, optimizing large-scale data pipelines, and enabling data-driven decision-making across the organization. You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop modern cloud-based data solutions using technologies such as Databricks, Snowflake, PySpark, SQL, and Python. If you enjoy solving complex data challenges and working in a fast-paced, innovative environment, we’d love to connect with you.Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured dataDevelop high-performance data processing solutions using PySpark and distributed computing frameworksBuild, optimize, and manage data platforms on Databricks and/or SnowflakeWrite clean, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analyticsCollaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutionsEnsure data quality, governance, integrity, scalability, and reliability across enterprise data systemsMonitor, troubleshoot, and optimize existing pipelines, workflows, and database performanceImplement best practices around coding standards, testing, CI/CD, version control, and technical documentationRequired Skills & Qualifications2–5 years of experience in Data Engineering or related rolesStrong hands-on experience with Databricks and/or SnowflakeProficiency in SQL and Python programmingPractical experience with PySpark and distributed data processingSolid understanding of Data Warehousing, ETL/ELT concepts, and Data ModelingExperience working with large-scale datasets in cloud-based environmentsBachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical fieldPreferred SkillsExperience with cloud platforms such as AWS, Azure, or GCPFamiliarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)Knowledge of Git, CI/CD pipelines, and DevOps best practicesExposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processingExperience working in Agile/Scrum environments is a plus","company":"Ascentt","rawCompany":"ascentt","city":"Garland","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-18T12:27:15.379Z","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":"Data Engineer","description":"Ascentt is transforming the future of manufacturing through advanced Data Analytics, AI/ML, and Generative AI solutions. We partner with global manufacturing enterprises to convert complex industrial data into actionable, real-time business insights. Our teams work on scalable, high-impact engineering challenges across cloud, data, and intelligent automation ecosystems. If you are passionate about innovation, solving complex problems, and building next-generation data platforms, Ascentt offers an exciting opportunity to create real-world impact at scale.We are looking for a passionate and highly motivated Data Engineer to join our growing data team. In this role, you will work on building scalable data platforms, optimizing large-scale data pipelines, and enabling data-driven decision-making across the organization. You will collaborate closely with Data Scientists, Analysts, and business stakeholders to develop modern cloud-based data solutions using technologies such as Databricks, Snowflake, PySpark, SQL, and Python. If you enjoy solving complex data challenges and working in a fast-paced, innovative environment, we’d love to connect with you.Key ResponsibilitiesDesign, build, and maintain scalable ETL/ELT pipelines for processing large volumes of structured and unstructured dataDevelop high-performance data processing solutions using PySpark and distributed computing frameworksBuild, optimize, and manage data platforms on Databricks and/or SnowflakeWrite clean, efficient, and production-ready SQL queries and Python code for data transformation, automation, and analyticsCollaborate with cross-functional teams including Data Analysts, Data Scientists, Product teams, and Business stakeholders to deliver data-driven solutionsEnsure data quality, governance, integrity, scalability, and reliability across enterprise data systemsMonitor, troubleshoot, and optimize existing pipelines, workflows, and database performanceImplement best practices around coding standards, testing, CI/CD, version control, and technical documentationRequired Skills & Qualifications2–5 years of experience in Data Engineering or related rolesStrong hands-on experience with Databricks and/or SnowflakeProficiency in SQL and Python programmingPractical experience with PySpark and distributed data processingSolid understanding of Data Warehousing, ETL/ELT concepts, and Data ModelingExperience working with large-scale datasets in cloud-based environmentsBachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical fieldPreferred SkillsExperience with cloud platforms such as AWS, Azure, or GCPFamiliarity with orchestration and transformation tools such as Airflow, dbt, or Azure Data Factory (ADF)Knowledge of Git, CI/CD pipelines, and DevOps best practicesExposure to Delta Lake, Lakehouse architecture, Kafka, Spark Streaming, or real-time data processingExperience working in Agile/Scrum environments is a plus","datePosted":"2026-05-18T12:27:15.379Z","dateModified":"2026-05-18T12:27:15.379Z","hiringOrganization":{"@type":"Organization","name":"Ascentt","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Garland","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9e3fc43071a0c87f7f5e5ff3"},"url":"https://jobsearcher.com/jobs/9e3fc43071a0c87f7f5e5ff3"}}