{"schemaVersion":"jobsearcher.job.v1","id":"d78da49bfe6d1a0976ddd718","url":"https://jobsearcher.com/jobs/d78da49bfe6d1a0976ddd718","canonicalUrl":"https://jobsearcher.com/jobs/d78da49bfe6d1a0976ddd718","title":"Data Engineering II","description":"hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. As a Data Engineer, you will be responsible for transforming raw data from our applications into structured datasets for large-scale analysis and machine learning model training. You will work closely with our development, data science, and business intelligence teams to ensure data integrity, quality, and accessibility.\r\nResponsibilities\r\nData Pipeline Development: Design, develop, and maintain scalable data pipelines to process raw data from various sources.\r\nData Transformation: Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning.\r\nCollaboration: Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions.\r\nData Management: Ensure data accuracy, consistency, and reliability across all datasets.\r\nOptimization: Optimize data processes for performance and scalability.\r\nDocumentation: Maintain comprehensive documentation of data pipelines, processes, and schemas.\r\nWorking Conditions\r\n40 hours per week, with occasional, but rare, overtime\r\nRemote / Hybrid / Flexible Work Options Available\r\nFrequent interaction with developers, test automation engineers, QA, management, and members of other Verisk subsidiaries\r\nSome days we just leave the office and have fun team building activities!\r\nRegular team lunches!\r\nState of the art facility with basketball, volleyball, and gym\r\nPing pong, foosball, fruit bowls, snacks\r\nFun and energetic teams\r\nTime for innovation, Hack-A-Thons, and learning\r\nQualifications\r\nEducational Background: bachelor's degree in computer science, Data Engineering, or a related field.\r\nExperience: 3+ years of experience as a Data Engineer or in a similar role.\r\nTechnical Proficiency\r\nProgramming Languages: Proficiency in Python, SQL, and familiarity with languages such as C# or Java.\r\nData Processing: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT).\r\nBig Data Technologies: Hands-on experience with big data technologies such as Hadoop, Spark, and Kafka.\r\nDatabase Management: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).\r\nCloud Platforms: Experience with cloud services (e.g., AWS, Google Cloud, Azure) and their data processing tools (e.g., AWS Glue, Google BigQuery).\r\nAI: Familiarity and enthusiasm for bleeding-edge analytical enablement using tools such as Large Language Models and Prompt Engineering.\r\nData Warehousing: Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake).\r\nVersion Control: Proficient with version control systems (e.g., Git).\r\nMachine Learning: Understanding of machine learning concepts and experience working with data for ML model training.\r\nAbout Us\r\nFor over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.\r\nAt Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.\r\nFor the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.\r\nWe're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.\r\nVerisk Businesses\r\nUnderwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision\r\nClaims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences\r\nProperty Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient\r\nSpecialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance\r\nCatastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.\r\nMarketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement\r\nLife Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.\r\nVerisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger\r\nVerisk Analytics is an equal opportunity employer.\r\nVerisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.\r\nAll members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.\r\nUnsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.\r\nVerisk Employee Privacy Notice\r\n100,000 – 140,000\r\n1100 W. Traverse Parkway, Lehi, UT, 84043, US\r\nJ-18808-Ljbffr","company":"Hackajob","rawCompany":"hackajob","city":"Lehi","state":"UT","isRemote":false,"isActive":false,"createdAt":"2026-04-11T04:43:42.955Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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 Engineering II","description":"hackajob is collaborating with Verisk to connect them with exceptional professionals for this role. As a Data Engineer, you will be responsible for transforming raw data from our applications into structured datasets for large-scale analysis and machine learning model training. You will work closely with our development, data science, and business intelligence teams to ensure data integrity, quality, and accessibility.\r\nResponsibilities\r\nData Pipeline Development: Design, develop, and maintain scalable data pipelines to process raw data from various sources.\r\nData Transformation: Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning.\r\nCollaboration: Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions.\r\nData Management: Ensure data accuracy, consistency, and reliability across all datasets.\r\nOptimization: Optimize data processes for performance and scalability.\r\nDocumentation: Maintain comprehensive documentation of data pipelines, processes, and schemas.\r\nWorking Conditions\r\n40 hours per week, with occasional, but rare, overtime\r\nRemote / Hybrid / Flexible Work Options Available\r\nFrequent interaction with developers, test automation engineers, QA, management, and members of other Verisk subsidiaries\r\nSome days we just leave the office and have fun team building activities!\r\nRegular team lunches!\r\nState of the art facility with basketball, volleyball, and gym\r\nPing pong, foosball, fruit bowls, snacks\r\nFun and energetic teams\r\nTime for innovation, Hack-A-Thons, and learning\r\nQualifications\r\nEducational Background: bachelor's degree in computer science, Data Engineering, or a related field.\r\nExperience: 3+ years of experience as a Data Engineer or in a similar role.\r\nTechnical Proficiency\r\nProgramming Languages: Proficiency in Python, SQL, and familiarity with languages such as C# or Java.\r\nData Processing: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT).\r\nBig Data Technologies: Hands-on experience with big data technologies such as Hadoop, Spark, and Kafka.\r\nDatabase Management: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).\r\nCloud Platforms: Experience with cloud services (e.g., AWS, Google Cloud, Azure) and their data processing tools (e.g., AWS Glue, Google BigQuery).\r\nAI: Familiarity and enthusiasm for bleeding-edge analytical enablement using tools such as Large Language Models and Prompt Engineering.\r\nData Warehousing: Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake).\r\nVersion Control: Proficient with version control systems (e.g., Git).\r\nMachine Learning: Understanding of machine learning concepts and experience working with data for ML model training.\r\nAbout Us\r\nFor over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.\r\nAt Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.\r\nFor the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.\r\nWe're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.\r\nVerisk Businesses\r\nUnderwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision\r\nClaims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences\r\nProperty Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient\r\nSpecialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance\r\nCatastrophe and Risk Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.\r\nMarketing Solutions — delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement\r\nLife Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.\r\nVerisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger\r\nVerisk Analytics is an equal opportunity employer.\r\nVerisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.\r\nAll members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.\r\nUnsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.\r\nVerisk Employee Privacy Notice\r\n100,000 – 140,000\r\n1100 W. Traverse Parkway, Lehi, UT, 84043, US\r\nJ-18808-Ljbffr","datePosted":"2026-04-11T04:43:42.955Z","dateModified":"2026-04-11T04:43:42.955Z","hiringOrganization":{"@type":"Organization","name":"Hackajob","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Lehi","addressRegion":"UT","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d78da49bfe6d1a0976ddd718"},"url":"https://jobsearcher.com/jobs/d78da49bfe6d1a0976ddd718"}}