{"schemaVersion":"jobsearcher.job.v1","id":"06f8e9cbde3f75a5d919b239","url":"https://jobsearcher.com/jobs/06f8e9cbde3f75a5d919b239","canonicalUrl":"https://jobsearcher.com/jobs/06f8e9cbde3f75a5d919b239","title":"Data Engineer with Databricks, SQL","description":"Data Engineer With Databricks, SQLOur team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro. We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale. Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting. Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture. Engage business teams to understand their problem space and coordinate technical changes end-to-end. Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes. Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast. Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability. Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead.Experience:2-4 years of data engineering experienceExperience designing & building data pipelines and data lakes in a cloud environmentExperience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into actionComfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipelineExperience managing stakeholder expectations across technical & business teamsTechnical Skills:Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)How You Work:Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystemProduct owner mindset: end-to-end accountability for what you build, not just the ticket in front of youClear communicator: you can explain technical tradeoffs to non-technical partners without losing the substanceBias toward simplicity: you ask whether complexity is necessary before adding itEducation:Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalentRelevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalentTekWissen Group is an equal opportunity employer supporting workforce diversity.","company":"Merican","rawCompany":"merican","city":"Pratt","state":"KS","isRemote":false,"isActive":false,"createdAt":"2026-07-19T00:29:12.780Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer with Databricks, SQL","description":"Data Engineer With Databricks, SQLOur team builds and maintains data products within the Care & Retail domain, delivering reliable, scalable solutions that power easy & actionable insights across Consumer reporting. We support performance management, operational visibility, and business decision-making for millions of customers across Magenta & Metro. We're looking for engineers who operate as product owners. You'll build things that last, improve what exists, and adopt the best available tools, including AI, to do it more effectively. If you think in systems and take end-to-end accountability, you'll fit here.Design, build, and optimize data pipelines and structures that support reliable, efficient data processing & delivery at scale. Contribute to a growing semantic & analytics layer, including dimensional modeling for Care & Retail reporting. Migrate and modernize pipelines to standardized, reusable ingestion patterns and layered data architecture. Engage business teams to understand their problem space and coordinate technical changes end-to-end. Perform impact analysis, diagnose issues, and validate that changes deliver expected outcomes. Conduct root cause analysis on data and process issues, and flex into ad hoc analysis when the business needs answers fast. Identify opportunities to consolidate redundant data objects, reduce support burden, and improve reusability. Adopt and apply AI tools and modern engineering practices to improve throughput and reduce per-unit delivery overhead.Experience:2-4 years of data engineering experienceExperience designing & building data pipelines and data lakes in a cloud environmentExperience with root cause analysis on data and process issues, with the ability to trace problems across systems and translate findings into actionComfortable flexing into an analytical or systems analyst role when the work requires it — this team supports the business, not just the pipelineExperience managing stakeholder expectations across technical & business teamsTechnical Skills:Strong SQL, including performance tuning & optimization in large-scale analytical environments (Required)Familiarity with Microsoft Fabric, Databricks, and the Azure data stack, including Azure Data Lake Storage (Preferred)Familiarity with dimensional modeling, star schema design, and semantic layer concepts (Preferred)Familiarity with medallion architecture (bronze/silver/gold) and data lake design patterns (Preferred)Familiarity with Power BI for understanding downstream analytics consumption; DAX experience a plus (Preferred)Familiarity with Python, Scala, or other scripting languages used in pipeline development (Preferred)Familiarity with common software design principles such as DRY, SRP, and OOP (Preferred)Experience using AI tools, agents, or automation to accelerate engineering workflows (Preferred)How You Work:Systems thinker: you consider how data, tools, processes, and stakeholders interact across a broader ecosystemProduct owner mindset: end-to-end accountability for what you build, not just the ticket in front of youClear communicator: you can explain technical tradeoffs to non-technical partners without losing the substanceBias toward simplicity: you ask whether complexity is necessary before adding itEducation:Bachelor's degree plus 2+ years of related work experience, or a combination of education & experience deemed equivalentRelevant fields include Computer Science, Statistics, Informatics, Information Systems, or a quantitative equivalentTekWissen Group is an equal opportunity employer supporting workforce diversity.","datePosted":"2026-07-19T00:29:12.780Z","dateModified":"2026-07-19T00:29:12.780Z","hiringOrganization":{"@type":"Organization","name":"Merican","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Pratt","addressRegion":"KS","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"06f8e9cbde3f75a5d919b239"},"url":"https://jobsearcher.com/jobs/06f8e9cbde3f75a5d919b239"}}