{"schemaVersion":"jobsearcher.job.v1","id":"fa6d6dd53b9ff2b66bd22a6f","url":"https://jobsearcher.com/jobs/fa6d6dd53b9ff2b66bd22a6f","canonicalUrl":"https://jobsearcher.com/jobs/fa6d6dd53b9ff2b66bd22a6f","title":"Associate Data Engineer","description":"About the Role Insightsoftware is looking for a data professional who brings strong technical fundamentals, a genuine curiosity for AI, and the ability to translate business needs into data solutions. As a Data Engineer on the Enterprise Data team, you will design and maintain scalable data pipelines, build PowerBI solutions that drive decisions, and champion AI-assisted workflows that make the team faster and smarter.\r\nWhat You Will Do Design, build, and maintain ELT/ETL pipelines that move data reliably from source systems into a cloud data warehouse environment.\r\nWrite clean, performant, and well-documented SQL to transform raw data into analyst-ready models and reporting layers.\r\nPartner with the team to define and enforce data modeling standards, naming conventions, and documentation practices.\r\nMonitor pipeline health, troubleshoot failures, and implement proactive alerting to protect data availability.\r\nDevelop and maintain PowerBI dashboards and reports that give business stakeholders clear, trusted views of company performance.\r\nApply best practices in data modeling within PowerBI (star schemas, DAX measures, performance optimization) to ensure reports are fast and maintainable.\r\nWork closely with business partners to understand reporting requirements, translating ambiguous asks into structured analytical deliverables.\r\nChampion self-serve analytics by building reusable semantic layers that reduce ad-hoc request volume.\r\nActively use AI tools (such as LLM assistants, copilots, and agentic workflows) to accelerate development, improve code quality, and generate documentation.\r\nIdentify opportunities to apply AI and automation to repetitive data tasks, from data quality checks to pipeline scaffolding.\r\nStay current on emerging AI/data tooling and share practical learnings with the team.\r\nApply a critical, evidence-based lens to AI outputs, validating results before using them in production.\r\nEngage directly with business stakeholders to understand data needs in context, asking smart questions and pushing back constructively when requirements are unclear.\r\nCommunicate technical concepts and data limitations in plain language, building trust with non-technical partners.\r\nContribute to data governance practices, including metadata documentation, lineage tracking, and data quality standards.\r\nWhat You Bring 3+ years of hands-on data engineering or analytics engineering experience in a professional setting.\r\nStrong SQL skills: complex joins, window functions, query optimization, and data modeling.\r\nDemonstrated PowerBI proficiency, including report development, data modeling, and DAX.\r\nExperience working with cloud data warehouse platforms (Snowflake, BigQuery, Redshift, or similar).\r\nProven, active use of AI tools in daily data work, not just awareness.\r\nAbility to engage with business stakeholders and translate requirements into data solutions.\r\nStrong written and verbal communication skills.\r\nPreferred experience with ELT/ETL orchestration tools such as Fivetran, dbt, or similar.\r\nFamiliarity with Salesforce data structures or CRM-adjacent reporting.\r\nExposure to agentic AI workflows, prompt engineering, or LLM-powered automation.\r\nBackground in financial or ARR/revenue data domains.\r\nExperience with role-based access control and data security practices in cloud platforms.\r\nSalary The salary range in United States of America for this position is $72,000.00 to $90,000.00 USD annually. For non-sales roles, you may be eligible for a bonus. For sales roles, this range includes a commission target. We are committed to pay transparency and fair compensation practices.\r\nEqual Employment Opportunity All your information will be kept confidential according to EEO guidelines. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are a proud equal-opportunity workplace.\r\nJ-18808-Ljbffr","company":"Insightsoftware","rawCompany":"insightsoftware","city":"Wausau","state":"WI","isRemote":false,"isActive":true,"createdAt":"2026-06-25T00:53:35.965Z","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":"Associate Data Engineer","description":"About the Role Insightsoftware is looking for a data professional who brings strong technical fundamentals, a genuine curiosity for AI, and the ability to translate business needs into data solutions. As a Data Engineer on the Enterprise Data team, you will design and maintain scalable data pipelines, build PowerBI solutions that drive decisions, and champion AI-assisted workflows that make the team faster and smarter.\r\nWhat You Will Do Design, build, and maintain ELT/ETL pipelines that move data reliably from source systems into a cloud data warehouse environment.\r\nWrite clean, performant, and well-documented SQL to transform raw data into analyst-ready models and reporting layers.\r\nPartner with the team to define and enforce data modeling standards, naming conventions, and documentation practices.\r\nMonitor pipeline health, troubleshoot failures, and implement proactive alerting to protect data availability.\r\nDevelop and maintain PowerBI dashboards and reports that give business stakeholders clear, trusted views of company performance.\r\nApply best practices in data modeling within PowerBI (star schemas, DAX measures, performance optimization) to ensure reports are fast and maintainable.\r\nWork closely with business partners to understand reporting requirements, translating ambiguous asks into structured analytical deliverables.\r\nChampion self-serve analytics by building reusable semantic layers that reduce ad-hoc request volume.\r\nActively use AI tools (such as LLM assistants, copilots, and agentic workflows) to accelerate development, improve code quality, and generate documentation.\r\nIdentify opportunities to apply AI and automation to repetitive data tasks, from data quality checks to pipeline scaffolding.\r\nStay current on emerging AI/data tooling and share practical learnings with the team.\r\nApply a critical, evidence-based lens to AI outputs, validating results before using them in production.\r\nEngage directly with business stakeholders to understand data needs in context, asking smart questions and pushing back constructively when requirements are unclear.\r\nCommunicate technical concepts and data limitations in plain language, building trust with non-technical partners.\r\nContribute to data governance practices, including metadata documentation, lineage tracking, and data quality standards.\r\nWhat You Bring 3+ years of hands-on data engineering or analytics engineering experience in a professional setting.\r\nStrong SQL skills: complex joins, window functions, query optimization, and data modeling.\r\nDemonstrated PowerBI proficiency, including report development, data modeling, and DAX.\r\nExperience working with cloud data warehouse platforms (Snowflake, BigQuery, Redshift, or similar).\r\nProven, active use of AI tools in daily data work, not just awareness.\r\nAbility to engage with business stakeholders and translate requirements into data solutions.\r\nStrong written and verbal communication skills.\r\nPreferred experience with ELT/ETL orchestration tools such as Fivetran, dbt, or similar.\r\nFamiliarity with Salesforce data structures or CRM-adjacent reporting.\r\nExposure to agentic AI workflows, prompt engineering, or LLM-powered automation.\r\nBackground in financial or ARR/revenue data domains.\r\nExperience with role-based access control and data security practices in cloud platforms.\r\nSalary The salary range in United States of America for this position is $72,000.00 to $90,000.00 USD annually. For non-sales roles, you may be eligible for a bonus. For sales roles, this range includes a commission target. We are committed to pay transparency and fair compensation practices.\r\nEqual Employment Opportunity All your information will be kept confidential according to EEO guidelines. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, national origin, gender, sex, gender identity or expression, sexual orientation, age, citizenship, marital or parental status, disability, veteran status, or other class protected by applicable law. We are a proud equal-opportunity workplace.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:53:35.965Z","dateModified":"2026-06-25T00:53:35.965Z","hiringOrganization":{"@type":"Organization","name":"Insightsoftware","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Wausau","addressRegion":"WI","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fa6d6dd53b9ff2b66bd22a6f"},"url":"https://jobsearcher.com/jobs/fa6d6dd53b9ff2b66bd22a6f"}}