{"schemaVersion":"jobsearcher.job.v1","id":"009861058cf358b22aeaeb29","url":"https://jobsearcher.com/jobs/009861058cf358b22aeaeb29","canonicalUrl":"https://jobsearcher.com/jobs/009861058cf358b22aeaeb29","title":"Analytics Engineer","description":"Summary\nThe Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of\ndata engineering and analytics ensuring data quality, designing efficient models, and maintaining data\nassets to enable seamless consumption by business users and analytics tools. Responsible for preparing\nand modeling data in the silver and gold layers of G3’s Databricks-based data lakehouse environment.\nCollaborates across IT and with business stakeholders to define and enforce data standards and\nunderstand data needs.\n\nEssential Functions\nThis job description reflects management’s assignment of essential functions; it does not prescribe or restrict\nthe tasks that may be assigned.\n\nPlans, creates, and maintains data architecture to enable business decisions and recommend\ntechnical solutions to management based on scalability and complexity.\n\nImplements and maintains robust data quality checks and validation processes to ensure high\nlevels of data accuracy, consistency, and integrity across the silver and gold layers.\n\nCollaborates with stakeholders to define and enforce data standards, including master data\nmanagement, develops data lineage understanding, while adhering to privacy and security\npolicies.\n\nPartners with data scientists, analysts, and business stakeholders to understand data needs and\ndesign datasets and referential data that align with organizational goals.\n\nResponsible for executing the implementation of the data strategy related to G3’s data lake goals\nand objectives.\n\nDevelops and maintains clear documentation of data models, entity relationship diagrams\n(ERDs), governance processes, and quality rules to ensure transparency and reproducibility.\n\nMonitors and enhances the performance of data models and queries to ensure efficient use of\nresources and support timely analytics.\n\nWorks with data warehousing teams to understand and recreate data layer structures.\nTranslates business requirements to functional and technical design solutions, specifications, and\nprototypes.\n\nCollaborates with development teams to design high quality data solutions to enable analytics.\nConsults with analytics teams, business users, and decision makers to identify data sources,\nrequired data elements, or data validation standards.\n\nDevelops test plans and facilitates testing prior to promotions.\nPerforms cross-functional analysis and collaborates with stakeholders across departments.\nPartners and presents findings to senior leadership.\n\nResponsible for understanding and complying with applicable quality, environmental and safety\nregulatory considerations.\n\nQualifications\nTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The\nrequirements listed below are representative of the knowledge, skill and ability required. Reasonable\naccommodations may be made to enable individuals with disabilities to perform the essential functions.\n\nMinimum Qualifications\n\nBachelor’s degree plus 3 years of experience in analytics engineering, technical architecture,\ndatabase management, business intelligence, application development, middleware or a related\nrole; OR Bachelor’s degree plus 2 years of G3 experience in analytics engineering, technical\narchitecture, database management, business intelligence, application development, middleware\nor a related role; OR High School diploma or State-issued equivalency certificate plus 7 years of\nexperience in analytics engineering, technical architecture, database management, business\nintelligence, application development, middleware or a related role; OR High School diploma or\nState-issued equivalency certificate plus 6 years of G3 experience in analytics engineering,\ntechnical architecture, database management, business intelligence, application development,\nmiddleware or a related role.\n\nProven experience in designing and maintaining data models for analytics and reporting.\nHands-on experience with data lake modeling concepts and frameworks (e.g., star schema,\nsnowflake schema), implementing data quality and governance practices.\n\nStrong SQL skills for data querying and transformation.\n\nPreferred Qualifications\n\nBachelor's degree in Computer Science, Business Administration, Mathematics, Data Analytics,\nData Science, or Engineering.\n\nExperience with cloud computing and “big data” processing and analytics.\nProficiency in Databricks and the Delta Lake architecture.\nFamiliarity with Databricks SQL and Unity Catalog for data governance.\nExperience with BI tools like MicroStrategy, Power BI, Tableau, or Looker to validate and test\nanalytics-ready data models.\n\nKnowledge of CI/CD processes and tools like Git for managing code and configurations.\nUnderstanding of cloud environments (e.g., Azure, AWS, GCP) and related storage and compute\nservices.\n\nUnderstanding of web servers and applications.\nKnowledge of components of an enterprise systems architecture\nKnowledge of business process re-engineering processes including Lean Six Sigma principles.\nLean Six Sigma Green or Black Belt Certified.\nStrong understanding of network architecture and application development methodologies\nExperience reading, analyzing, and interpreting common scientific and technical journals and\nfinancial reports.\n\nKnowledge of emerging technologies and development platforms.\nExperience applying machine learning or artificial intelligence to BI applications.\nExperience with performance tuning of business intelligence applications.\nStrong knowledge of SQL queries including writing, reading, and debugging.\nExperience working with Enterprise Data Warehousing, specifically SAP Data Warehousing\n(HANA).\n\nPossesses a passion for technology and its impact on the enterprise, customers and consumers\nalong with a breadth of experience that can balance business, application and operational\nrequirements.\n\nStrong understanding of systems and “systems thinking” with the ability to make trade-off\ndecisions to accomplish system-wide goals.\n\nSkilled in navigating complex situations to ensure successful change management and balancing\nlong-term and short-term goals and perspectives.\n\nExcellent written and verbal communication skills, with the ability to document processes and\ntechnical specifications clearly.\n\nExceptional interpersonal skills, including teamwork, facilitation and negotiation.\nExcellent planning and organizational skills.\nExcellent analytical and technical skills. Skilled in applying multiple technical solutions to business\nproblems.\n\nRemains unbiased toward any specific technology or vendor choice.\nDemonstrates strong technical thinking.\n\nPhysical Demands\nThe physical demands described here are representative of those that must be met by an employee to\nsuccessfully perform the essential functions of this job. Reasonable accommodations may be made to enable\nindividuals with disabilities to perform the essential functions.\nWhile performing the duties of this job, the employee is frequently required to sit, use hands to finger,\nhandle, feel, talk and hear. The employee is occasionally required to stand and walk.\n\nWork Environment\nThe work environment characteristics described here are representative of those an employee encounters\nwhile performing the essential functions of this job. Reasonable accommodations may be made to enable\nindividuals with disabilities to perform the essential functions.\nThe noise level in the work environment is usually moderate.\n\nCompensation\nHiring Hourly Rate: $45.10 - $56.35\nActual compensation amount paid may be lower or higher to be determined by factors other than race and gender such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data.\nPerks & Benefits\nThis position includes a competitive benefits package.\n\nG3 is enrolled in the Department of Homeland Security's E-Verifying program and will use the program to verify the employment eligibility of all newly hired employees as required. G3 does not sponsor for employment based visas for this position now or in the future.\n\nE-Verify Notice and Right to Work Notice\nEmployee Polygraph Protection Act\nEqual Opportunity Employer\n\nEEO/AA Vet/Disability","company":"G3enterprises","rawCompany":"g3enterprises","city":"Modesto","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-04T19:14:10.048Z","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":"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":"Analytics Engineer","description":"Summary\nThe Analytics Engineer plays a key role on the Data and Analytics team working at the intersection of\ndata engineering and analytics ensuring data quality, designing efficient models, and maintaining data\nassets to enable seamless consumption by business users and analytics tools. Responsible for preparing\nand modeling data in the silver and gold layers of G3’s Databricks-based data lakehouse environment.\nCollaborates across IT and with business stakeholders to define and enforce data standards and\nunderstand data needs.\n\nEssential Functions\nThis job description reflects management’s assignment of essential functions; it does not prescribe or restrict\nthe tasks that may be assigned.\n\nPlans, creates, and maintains data architecture to enable business decisions and recommend\ntechnical solutions to management based on scalability and complexity.\n\nImplements and maintains robust data quality checks and validation processes to ensure high\nlevels of data accuracy, consistency, and integrity across the silver and gold layers.\n\nCollaborates with stakeholders to define and enforce data standards, including master data\nmanagement, develops data lineage understanding, while adhering to privacy and security\npolicies.\n\nPartners with data scientists, analysts, and business stakeholders to understand data needs and\ndesign datasets and referential data that align with organizational goals.\n\nResponsible for executing the implementation of the data strategy related to G3’s data lake goals\nand objectives.\n\nDevelops and maintains clear documentation of data models, entity relationship diagrams\n(ERDs), governance processes, and quality rules to ensure transparency and reproducibility.\n\nMonitors and enhances the performance of data models and queries to ensure efficient use of\nresources and support timely analytics.\n\nWorks with data warehousing teams to understand and recreate data layer structures.\nTranslates business requirements to functional and technical design solutions, specifications, and\nprototypes.\n\nCollaborates with development teams to design high quality data solutions to enable analytics.\nConsults with analytics teams, business users, and decision makers to identify data sources,\nrequired data elements, or data validation standards.\n\nDevelops test plans and facilitates testing prior to promotions.\nPerforms cross-functional analysis and collaborates with stakeholders across departments.\nPartners and presents findings to senior leadership.\n\nResponsible for understanding and complying with applicable quality, environmental and safety\nregulatory considerations.\n\nQualifications\nTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The\nrequirements listed below are representative of the knowledge, skill and ability required. Reasonable\naccommodations may be made to enable individuals with disabilities to perform the essential functions.\n\nMinimum Qualifications\n\nBachelor’s degree plus 3 years of experience in analytics engineering, technical architecture,\ndatabase management, business intelligence, application development, middleware or a related\nrole; OR Bachelor’s degree plus 2 years of G3 experience in analytics engineering, technical\narchitecture, database management, business intelligence, application development, middleware\nor a related role; OR High School diploma or State-issued equivalency certificate plus 7 years of\nexperience in analytics engineering, technical architecture, database management, business\nintelligence, application development, middleware or a related role; OR High School diploma or\nState-issued equivalency certificate plus 6 years of G3 experience in analytics engineering,\ntechnical architecture, database management, business intelligence, application development,\nmiddleware or a related role.\n\nProven experience in designing and maintaining data models for analytics and reporting.\nHands-on experience with data lake modeling concepts and frameworks (e.g., star schema,\nsnowflake schema), implementing data quality and governance practices.\n\nStrong SQL skills for data querying and transformation.\n\nPreferred Qualifications\n\nBachelor's degree in Computer Science, Business Administration, Mathematics, Data Analytics,\nData Science, or Engineering.\n\nExperience with cloud computing and “big data” processing and analytics.\nProficiency in Databricks and the Delta Lake architecture.\nFamiliarity with Databricks SQL and Unity Catalog for data governance.\nExperience with BI tools like MicroStrategy, Power BI, Tableau, or Looker to validate and test\nanalytics-ready data models.\n\nKnowledge of CI/CD processes and tools like Git for managing code and configurations.\nUnderstanding of cloud environments (e.g., Azure, AWS, GCP) and related storage and compute\nservices.\n\nUnderstanding of web servers and applications.\nKnowledge of components of an enterprise systems architecture\nKnowledge of business process re-engineering processes including Lean Six Sigma principles.\nLean Six Sigma Green or Black Belt Certified.\nStrong understanding of network architecture and application development methodologies\nExperience reading, analyzing, and interpreting common scientific and technical journals and\nfinancial reports.\n\nKnowledge of emerging technologies and development platforms.\nExperience applying machine learning or artificial intelligence to BI applications.\nExperience with performance tuning of business intelligence applications.\nStrong knowledge of SQL queries including writing, reading, and debugging.\nExperience working with Enterprise Data Warehousing, specifically SAP Data Warehousing\n(HANA).\n\nPossesses a passion for technology and its impact on the enterprise, customers and consumers\nalong with a breadth of experience that can balance business, application and operational\nrequirements.\n\nStrong understanding of systems and “systems thinking” with the ability to make trade-off\ndecisions to accomplish system-wide goals.\n\nSkilled in navigating complex situations to ensure successful change management and balancing\nlong-term and short-term goals and perspectives.\n\nExcellent written and verbal communication skills, with the ability to document processes and\ntechnical specifications clearly.\n\nExceptional interpersonal skills, including teamwork, facilitation and negotiation.\nExcellent planning and organizational skills.\nExcellent analytical and technical skills. Skilled in applying multiple technical solutions to business\nproblems.\n\nRemains unbiased toward any specific technology or vendor choice.\nDemonstrates strong technical thinking.\n\nPhysical Demands\nThe physical demands described here are representative of those that must be met by an employee to\nsuccessfully perform the essential functions of this job. Reasonable accommodations may be made to enable\nindividuals with disabilities to perform the essential functions.\nWhile performing the duties of this job, the employee is frequently required to sit, use hands to finger,\nhandle, feel, talk and hear. The employee is occasionally required to stand and walk.\n\nWork Environment\nThe work environment characteristics described here are representative of those an employee encounters\nwhile performing the essential functions of this job. Reasonable accommodations may be made to enable\nindividuals with disabilities to perform the essential functions.\nThe noise level in the work environment is usually moderate.\n\nCompensation\nHiring Hourly Rate: $45.10 - $56.35\nActual compensation amount paid may be lower or higher to be determined by factors other than race and gender such as the education, experience, knowledge, skills and abilities of the applicant, internal equity, and alignment with market data.\nPerks & Benefits\nThis position includes a competitive benefits package.\n\nG3 is enrolled in the Department of Homeland Security's E-Verifying program and will use the program to verify the employment eligibility of all newly hired employees as required. G3 does not sponsor for employment based visas for this position now or in the future.\n\nE-Verify Notice and Right to Work Notice\nEmployee Polygraph Protection Act\nEqual Opportunity Employer\n\nEEO/AA Vet/Disability","datePosted":"2026-08-04T19:14:10.048Z","dateModified":"2026-08-04T19:14:10.048Z","hiringOrganization":{"@type":"Organization","name":"G3enterprises","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Modesto","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"009861058cf358b22aeaeb29"},"url":"https://jobsearcher.com/jobs/009861058cf358b22aeaeb29"}}