{"schemaVersion":"jobsearcher.job.v1","id":"6f27d2b8d0cf07b99770cc51","url":"https://jobsearcher.com/jobs/6f27d2b8d0cf07b99770cc51","canonicalUrl":"https://jobsearcher.com/jobs/6f27d2b8d0cf07b99770cc51","title":"Informatica Cloud Data Engineer","description":"Get AI-powered advice on this job and more exclusive features.\r\nThis range is provided by Avenue 45. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.\r\nBase pay range $125,000.00/yr - $135,000.00/yr\r\nAdditional compensation types Annual Bonus\r\nDirect message the job poster from Avenue 45\r\nOur direct client is seeking an Informatica Cloud Data Engineer for a full-time, direct-hire position.\r\nThis role follows a hybrid schedule, requiring 3 days per week onsite at the Cypress, CA (90630) office\r\nFull Time Direct Hire\r\n3 days week Hybrid in the Office\r\nLocation: Cypress, CA 90630\r\nSalary $125k - $135k\r\nPlus up to 10% annual bonus.\r\nMerit increase eligibility, 401K matching, and a comprehensive benefits package.\r\nLocal candidates Only, No relocation. Onsite Interview is required.\r\nU.S. Citizens and those authorized to work in the U.S. without sponsorship are encouraged to apply.\r\nThe Data Engineer II will be an integral member of the IT Data Integration team and will be expected to clean, prepare, and optimize data for consumption. The Data Engineer II will work with the team to create high end data and analytics driven ETL solutions leveraging IDMC , Amazon Web Services (AWS), Big Data tools and technologies. The Data Engineer II will collect and curate data from disparate sources to perform data interrogation, develop analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics.\r\nShould have experience with\r\nProven ability in ETL/ELT workflows and SQL development.\r\nHands-on experience with cloud platforms (AWS, Azure, or GCP).\r\nFamiliarity with real-time data streaming tools (e.g., Kafka, Spark) a plus.\r\nStrong background in building and maintaining data pipelines that enable reporting/analytics.\r\nSolid problem-solving, communication, and collaboration skills for working across teams.\r\nThe Data Engineer II will communicate with stakeholders and conduct research to develop a comprehensive understanding of relevant business needs and requirements. The role will identify and collect structured and unstructured data from various sources, evaluate the data to ensure that they meet analytic needs, and prepare the data for analysis. The role will require business and technical requirements gathering and documentation (BRD, PRD) experience, as well as data workflow design and presentations.\r\nQualifications\r\nBachelor's degree in computer science, Data Science, Mathematics, or equivalent work experience in a related field required.\r\n4+ years of relevant experience in design, execution, and the use of a wide array of data analysis techniques and tools in designing solutions required.\r\nAdvanced experience in Informatica Data Management Cloud (IDMC) required.\r\nExperience with programming languages such as Python, R, etc. required.\r\nExperience with relational SQL and NoSQL databases required.\r\nExperience with AWS GLUE ETL and AWS Analytics Services: Lambda, Step Functions, EMR, Athena preferred.\r\nMust be self-motivated and able to work independently, with minimal supervision and as part of a team.\r\nDetail oriented with excellent interpersonal communication skills (verbal and written), with the ability to interact with all levels of an organization.\r\nExcellent analytical skills: expertise in statistical and data science principles and methods.\r\nAdvanced experience in data quality, data wrangling, cleansing, and standardization required.\r\nExperience implementing and working with on-premise and cloud infrastructure required.\r\nStrong project management and organizational skills. Experience using a version control system is a plus (GitHub, Subversion, Azure Dev Ops).\r\nProven history of delivering analytic solutions to solve complex problems using a data-driven approach and technical innovation. Demonstrated success in interpreting analytic output and providing strategic recommendations.\r\nResponsibilities\r\nTechnical Design - Able to identify, analyze, specify, design, and translate functional design to technical design. Create and document technical designs for medium to high complexity solutions that may include integration with external systems.\r\nCreate and document technical designs for medium to high complexity solutions that may include integrations with external systems.\r\nDesign systems that span multiple technologies/platforms\r\nDefine and documents work processes/standards.\r\nCreate and apply design standards across all applications.\r\nDesign solutions to meet performance requirements and scalability expectations.\r\nConduct data analysis and modeling to design medium to complex systems utilizing multiple technologies (may have a specific area of expertise), including integrations with external systems.\r\nCollect and curate data from disparate sources to perform data wrangling to clean, prepare, and standardize data for consumption.\r\nDesign and create framework, program controls and services that can be utilized by other developers in creation of applications.\r\nApply mathematical principles or statistical approaches to solve complex problems in scientific or applied fields.\r\nData Modeling - Able to write, test, debug, and maintain data workflows for end-user adoption, productivity improvement and efficiency.\r\nAnalyze data to discover and interpret patterns, trends, and variances.\r\nAssist with technical design.\r\nTroubleshoot and resolve technical issues.\r\nDevelop knowledge of the company's applications.\r\nResearch, analyze, and identify data requirements and business processes.\r\nDevelop data science models to automate manual processes and to scale pipelines.\r\nDerive insight driven outcomes while utilizing the latest technologies and programming languages.\r\nExtract and transform data through normalization, field mapping, merging, and other techniques to standardize and prepare data for analysis.\r\nCollaborate with cross functional teams to identify and solve business intelligence and data issues.\r\nProactively enhances systems for stability, efficiency, scalability, and robustness.\r\nDevelops, sponsors, and supports the introduction of new and improved methods, products, procedures, and technologies.\r\nDevise, makes recommendations, and guide implementation of corrective and/or preventive actions.\r\nSuggest better alternatives and solutions to given requirements based on experience.\r\nConstruct new data assets by combining data from multiple sources, which may be ambiguous, incomplete, or inconsistently formatted.\r\nAdvanced knowledge of mathematical and statistical algorithms to apply toward decision analytic modeling.\r\nRequirements Elicitation – Ability to identify a desired future state that addresses a business problem.\r\nRequirements Management and Analysis – Ability to define, document, and manage business requirements to the smallest set that will provide the biggest impact in advancing business objectives.\r\nProvide Accurate Project Effort Estimates - Ability to quantify and meet individual and project phase level efforts.\r\nAdherence to Standards - Ability to create solutions that adhere to and incorporate RTS standards.\r\nThis position qualifies for\r\nAnnual Merit Increase opportunity\r\nAnnual bonus opportunity Up-to 10% annually\r\nPaid Sick & Vacation/Health/Dental/401K & Other Benefits\r\nSalary plus bonus and great benefits, the client offers a comprehensive benefits package.\r\nLocal candidates Only, No relocation. Onsite Interview is required.\r\nU.S. Citizens and those authorized work in the U.S without sponsorship are encouraged to apply.\r\nIf you are interested, please send me your updated Word Resume, along with your direct phone number and email.\r\nNotes Seniority level: Mid-Senior level\r\nEmployment type: Full-time\r\nJob function: Information Technology\r\nIndustries: Manufacturing and Staffing and Recruiting\r\nThis job description is provided for informational purposes and reflects current information; postings may be updated without notice.\r\nJ-18808-Ljbffr","company":"Avenue 45","rawCompany":"avenue 45","city":"Cypress","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T13:19:49.420Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"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":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Informatica Cloud Data Engineer","description":"Get AI-powered advice on this job and more exclusive features.\r\nThis range is provided by Avenue 45. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.\r\nBase pay range $125,000.00/yr - $135,000.00/yr\r\nAdditional compensation types Annual Bonus\r\nDirect message the job poster from Avenue 45\r\nOur direct client is seeking an Informatica Cloud Data Engineer for a full-time, direct-hire position.\r\nThis role follows a hybrid schedule, requiring 3 days per week onsite at the Cypress, CA (90630) office\r\nFull Time Direct Hire\r\n3 days week Hybrid in the Office\r\nLocation: Cypress, CA 90630\r\nSalary $125k - $135k\r\nPlus up to 10% annual bonus.\r\nMerit increase eligibility, 401K matching, and a comprehensive benefits package.\r\nLocal candidates Only, No relocation. Onsite Interview is required.\r\nU.S. Citizens and those authorized to work in the U.S. without sponsorship are encouraged to apply.\r\nThe Data Engineer II will be an integral member of the IT Data Integration team and will be expected to clean, prepare, and optimize data for consumption. The Data Engineer II will work with the team to create high end data and analytics driven ETL solutions leveraging IDMC , Amazon Web Services (AWS), Big Data tools and technologies. The Data Engineer II will collect and curate data from disparate sources to perform data interrogation, develop analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics.\r\nShould have experience with\r\nProven ability in ETL/ELT workflows and SQL development.\r\nHands-on experience with cloud platforms (AWS, Azure, or GCP).\r\nFamiliarity with real-time data streaming tools (e.g., Kafka, Spark) a plus.\r\nStrong background in building and maintaining data pipelines that enable reporting/analytics.\r\nSolid problem-solving, communication, and collaboration skills for working across teams.\r\nThe Data Engineer II will communicate with stakeholders and conduct research to develop a comprehensive understanding of relevant business needs and requirements. The role will identify and collect structured and unstructured data from various sources, evaluate the data to ensure that they meet analytic needs, and prepare the data for analysis. The role will require business and technical requirements gathering and documentation (BRD, PRD) experience, as well as data workflow design and presentations.\r\nQualifications\r\nBachelor's degree in computer science, Data Science, Mathematics, or equivalent work experience in a related field required.\r\n4+ years of relevant experience in design, execution, and the use of a wide array of data analysis techniques and tools in designing solutions required.\r\nAdvanced experience in Informatica Data Management Cloud (IDMC) required.\r\nExperience with programming languages such as Python, R, etc. required.\r\nExperience with relational SQL and NoSQL databases required.\r\nExperience with AWS GLUE ETL and AWS Analytics Services: Lambda, Step Functions, EMR, Athena preferred.\r\nMust be self-motivated and able to work independently, with minimal supervision and as part of a team.\r\nDetail oriented with excellent interpersonal communication skills (verbal and written), with the ability to interact with all levels of an organization.\r\nExcellent analytical skills: expertise in statistical and data science principles and methods.\r\nAdvanced experience in data quality, data wrangling, cleansing, and standardization required.\r\nExperience implementing and working with on-premise and cloud infrastructure required.\r\nStrong project management and organizational skills. Experience using a version control system is a plus (GitHub, Subversion, Azure Dev Ops).\r\nProven history of delivering analytic solutions to solve complex problems using a data-driven approach and technical innovation. Demonstrated success in interpreting analytic output and providing strategic recommendations.\r\nResponsibilities\r\nTechnical Design - Able to identify, analyze, specify, design, and translate functional design to technical design. Create and document technical designs for medium to high complexity solutions that may include integration with external systems.\r\nCreate and document technical designs for medium to high complexity solutions that may include integrations with external systems.\r\nDesign systems that span multiple technologies/platforms\r\nDefine and documents work processes/standards.\r\nCreate and apply design standards across all applications.\r\nDesign solutions to meet performance requirements and scalability expectations.\r\nConduct data analysis and modeling to design medium to complex systems utilizing multiple technologies (may have a specific area of expertise), including integrations with external systems.\r\nCollect and curate data from disparate sources to perform data wrangling to clean, prepare, and standardize data for consumption.\r\nDesign and create framework, program controls and services that can be utilized by other developers in creation of applications.\r\nApply mathematical principles or statistical approaches to solve complex problems in scientific or applied fields.\r\nData Modeling - Able to write, test, debug, and maintain data workflows for end-user adoption, productivity improvement and efficiency.\r\nAnalyze data to discover and interpret patterns, trends, and variances.\r\nAssist with technical design.\r\nTroubleshoot and resolve technical issues.\r\nDevelop knowledge of the company's applications.\r\nResearch, analyze, and identify data requirements and business processes.\r\nDevelop data science models to automate manual processes and to scale pipelines.\r\nDerive insight driven outcomes while utilizing the latest technologies and programming languages.\r\nExtract and transform data through normalization, field mapping, merging, and other techniques to standardize and prepare data for analysis.\r\nCollaborate with cross functional teams to identify and solve business intelligence and data issues.\r\nProactively enhances systems for stability, efficiency, scalability, and robustness.\r\nDevelops, sponsors, and supports the introduction of new and improved methods, products, procedures, and technologies.\r\nDevise, makes recommendations, and guide implementation of corrective and/or preventive actions.\r\nSuggest better alternatives and solutions to given requirements based on experience.\r\nConstruct new data assets by combining data from multiple sources, which may be ambiguous, incomplete, or inconsistently formatted.\r\nAdvanced knowledge of mathematical and statistical algorithms to apply toward decision analytic modeling.\r\nRequirements Elicitation – Ability to identify a desired future state that addresses a business problem.\r\nRequirements Management and Analysis – Ability to define, document, and manage business requirements to the smallest set that will provide the biggest impact in advancing business objectives.\r\nProvide Accurate Project Effort Estimates - Ability to quantify and meet individual and project phase level efforts.\r\nAdherence to Standards - Ability to create solutions that adhere to and incorporate RTS standards.\r\nThis position qualifies for\r\nAnnual Merit Increase opportunity\r\nAnnual bonus opportunity Up-to 10% annually\r\nPaid Sick & Vacation/Health/Dental/401K & Other Benefits\r\nSalary plus bonus and great benefits, the client offers a comprehensive benefits package.\r\nLocal candidates Only, No relocation. Onsite Interview is required.\r\nU.S. Citizens and those authorized work in the U.S without sponsorship are encouraged to apply.\r\nIf you are interested, please send me your updated Word Resume, along with your direct phone number and email.\r\nNotes Seniority level: Mid-Senior level\r\nEmployment type: Full-time\r\nJob function: Information Technology\r\nIndustries: Manufacturing and Staffing and Recruiting\r\nThis job description is provided for informational purposes and reflects current information; postings may be updated without notice.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T13:19:49.420Z","dateModified":"2026-04-09T13:19:49.420Z","hiringOrganization":{"@type":"Organization","name":"Avenue 45","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Cypress","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6f27d2b8d0cf07b99770cc51"},"url":"https://jobsearcher.com/jobs/6f27d2b8d0cf07b99770cc51"}}