{"schemaVersion":"jobsearcher.job.v1","id":"92f6412234bd1a81613ad032","url":"https://jobsearcher.com/jobs/92f6412234bd1a81613ad032","canonicalUrl":"https://jobsearcher.com/jobs/92f6412234bd1a81613ad032","title":"Associate Data Engineer","description":"About Us:\n\ninsightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.\n\nJob Description:\n\nAbout the Role\n\ninsightsoftware 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 Power BI solutions that drive decisions, and champion AI-assisted workflows that make the team faster and smarter. This role sits at the intersection of engineering precision and business partnership .\n\nWhat You Will Do\n\nData Engineering\n\nDesign, build, and maintain ELT/ETL pipelines that move data reliably from source systems into a cloud data warehouse environment.\n\nWrite clean, performant, and well-documented SQL to transform raw data into analyst-ready models and reporting layers.\n\nPartner with the team to define and enforce data modeling standards, naming conventions, and documentation practices.\n\nMonitor pipeline health, troubleshoot failures, and implement proactive alerting to protect data availability.\n\nBusiness Intelligence & Reporting\n\nDevelop and maintain Power BI dashboards and reports that give business stakeholders clear, trusted views of company performance.\n\nApply best practices in data modeling within Power BI (star schemas, DAX measures, performance optimization) to ensure reports are fast and maintainable.\n\nWork closely with business partners to understand reporting requirements, translating ambiguous asks into structured analytical deliverables.\n\nChampion self-serve analytics by building reusable semantic layers that reduce ad hoc request volume.\n\nAI-First Ways of Working\n\nActively use AI tools (such as LLM assistants, copilots, and agentic workflows) to accelerate development, improve code quality, and generate documentation.\n\nIdentify opportunities to apply AI and automation to repetitive data tasks, from data quality checks to pipeline scaffolding.\n\nStay current on emerging AI/data tooling and share practical learnings with the team.\n\nApply a critical, evidence-based lens to AI outputs, validating results before using them in production.\n\nBusiness Partnership\n\nEngage directly with business stakeholders to understand data needs in context, asking smart questions and pushing back constructively when requirements are unclear.\n\nCommunicate technical concepts and data limitations in plain language, building trust with non-technical partners.\n\nContribute to data governance practices, including metadata documentation, lineage tracking, and data quality standards.\n\nWhat You Bring\n\nRequired\n\n3+ years of hands-on data engineering or analytics engineering experience in a professional setting.\n\nStrong SQL skills: complex joins, window functions, query optimization, and data modeling.\n\nDemonstrated Power BI proficiency , including report development, data modeling, and DAX.\n\nExperience working with cloud data warehouse platforms (Snowflake, BigQuery , Redshift, or similar).\n\nProven, active use of AI tools in daily data work, not just awareness.\n\nAbility to engage with business stakeholders and translate requirements into data solutions.\n\nStrong written and verbal communication skills .\n\nPreferred\n\nExperience with ELT/ETL orchestration tools such as Fivetran , dbt , or similar.\n\nFamiliarity with Salesforce data structures or CRM-adjacent reporting.\n\nExposure to agentic AI workflows, prompt engineering, or LLM-powered automation.\n\nBackground in financial or ARR/revenue data domains.\n\nExperience with role-based access control and data security practices in cloud platforms.\n\nThe salary range in United States of America for this position is 72,000.00 to 90,000.00 USD Annual.\n\nYour specific offer within this range will be determined by your skills, experience, and qualifications. For non-sales roles, you may be eligible for a bonus. For sales roles, this range includes a commission target.\n\nWe are committed to pay transparency and fair compensation practices. If you have questions about our compensation approach, please don't hesitate to ask during the interview process.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.\n\nLearn more about our high-energy, high-performance global team: Work With Us\n\ninsightsoftware About Us: Hear From Our Team\n\nBackground checks are required for employment with insightsoftware, where permitted by country, state/province.\n\nAt insightsoftware, 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 proud to be an equal opportunity workplace.","company":"Insightsoftware","rawCompany":"insightsoftware","city":"Myrtle Point","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-09-28T11:09:44.952Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Associate Data Engineer","description":"About Us:\n\ninsightsoftware is a global provider of reporting, analytics, and performance management solutions that unlock the potential of business data and transform the way finance and data teams operate. We empower leaders from over 32,000 organizations to make timely and intelligent decisions. Our comprehensive solutions span Financial Planning and Analysis (FP&A), Controllership, and Data and Analytics. We deliver finance teams the insights required to navigate any economic climate and drive greater financial intelligence, while increasing productivity, visibility, accuracy, and compliance. Learn more at insightsoftware.com.\n\nJob Description:\n\nAbout the Role\n\ninsightsoftware 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 Power BI solutions that drive decisions, and champion AI-assisted workflows that make the team faster and smarter. This role sits at the intersection of engineering precision and business partnership .\n\nWhat You Will Do\n\nData Engineering\n\nDesign, build, and maintain ELT/ETL pipelines that move data reliably from source systems into a cloud data warehouse environment.\n\nWrite clean, performant, and well-documented SQL to transform raw data into analyst-ready models and reporting layers.\n\nPartner with the team to define and enforce data modeling standards, naming conventions, and documentation practices.\n\nMonitor pipeline health, troubleshoot failures, and implement proactive alerting to protect data availability.\n\nBusiness Intelligence & Reporting\n\nDevelop and maintain Power BI dashboards and reports that give business stakeholders clear, trusted views of company performance.\n\nApply best practices in data modeling within Power BI (star schemas, DAX measures, performance optimization) to ensure reports are fast and maintainable.\n\nWork closely with business partners to understand reporting requirements, translating ambiguous asks into structured analytical deliverables.\n\nChampion self-serve analytics by building reusable semantic layers that reduce ad hoc request volume.\n\nAI-First Ways of Working\n\nActively use AI tools (such as LLM assistants, copilots, and agentic workflows) to accelerate development, improve code quality, and generate documentation.\n\nIdentify opportunities to apply AI and automation to repetitive data tasks, from data quality checks to pipeline scaffolding.\n\nStay current on emerging AI/data tooling and share practical learnings with the team.\n\nApply a critical, evidence-based lens to AI outputs, validating results before using them in production.\n\nBusiness Partnership\n\nEngage directly with business stakeholders to understand data needs in context, asking smart questions and pushing back constructively when requirements are unclear.\n\nCommunicate technical concepts and data limitations in plain language, building trust with non-technical partners.\n\nContribute to data governance practices, including metadata documentation, lineage tracking, and data quality standards.\n\nWhat You Bring\n\nRequired\n\n3+ years of hands-on data engineering or analytics engineering experience in a professional setting.\n\nStrong SQL skills: complex joins, window functions, query optimization, and data modeling.\n\nDemonstrated Power BI proficiency , including report development, data modeling, and DAX.\n\nExperience working with cloud data warehouse platforms (Snowflake, BigQuery , Redshift, or similar).\n\nProven, active use of AI tools in daily data work, not just awareness.\n\nAbility to engage with business stakeholders and translate requirements into data solutions.\n\nStrong written and verbal communication skills .\n\nPreferred\n\nExperience with ELT/ETL orchestration tools such as Fivetran , dbt , or similar.\n\nFamiliarity with Salesforce data structures or CRM-adjacent reporting.\n\nExposure to agentic AI workflows, prompt engineering, or LLM-powered automation.\n\nBackground in financial or ARR/revenue data domains.\n\nExperience with role-based access control and data security practices in cloud platforms.\n\nThe salary range in United States of America for this position is 72,000.00 to 90,000.00 USD Annual.\n\nYour specific offer within this range will be determined by your skills, experience, and qualifications. For non-sales roles, you may be eligible for a bonus. For sales roles, this range includes a commission target.\n\nWe are committed to pay transparency and fair compensation practices. If you have questions about our compensation approach, please don't hesitate to ask during the interview process.\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.\n\nLearn more about our high-energy, high-performance global team: Work With Us\n\ninsightsoftware About Us: Hear From Our Team\n\nBackground checks are required for employment with insightsoftware, where permitted by country, state/province.\n\nAt insightsoftware, 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 proud to be an equal opportunity workplace.","datePosted":"2026-09-28T11:09:44.952Z","dateModified":"2026-09-28T11:09:44.952Z","hiringOrganization":{"@type":"Organization","name":"Insightsoftware","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Myrtle Point","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"92f6412234bd1a81613ad032"},"url":"https://jobsearcher.com/jobs/92f6412234bd1a81613ad032"}}