{"schemaVersion":"jobsearcher.job.v1","id":"130789d082a112b264d7747a","url":"https://jobsearcher.com/jobs/130789d082a112b264d7747a","canonicalUrl":"https://jobsearcher.com/jobs/130789d082a112b264d7747a","title":"Data Engineer Manager","description":"Job Description Develops or modifies program logic for new applications or software which may include coding, testing, debugging, documenting, implementing and maintaining software applications. Analyzes requirements, and maintains, tests and integrates application components. Programmer Analyst roles should be assigned to this job family.\r\nAccountabilities\r\nDesign and implement scalable data pipelines for structured and unstructured data.\r\nDevelop and maintain data models, integration frameworks, and storage solutions (cloud/on-prem/hybrid).\r\nCreate scalable and reliable ETL/ELT processes to extract, transform, and load data from various sources into data warehouses or data lakes.\r\nEnsure adherence to data governance, security, and compliance standards (GDPR, HIPAA, SOX).\r\nImplement best practices for data quality, lineage, and metadata management.\r\nDefine and maintain the overall data solution architecture, including integration patterns, data models, and governance frameworks.\r\nCollaborate with business stakeholders to translate requirements into technical designs that meet performance, security, and compliance standards.\r\nOversee implementation of data platforms (e.g., cloud, on-premise, hybrid) ensuring scalability and interoperability.\r\nEstablish and enforce architecture principles, standards, and best practices across development teams.\r\nProvide technical leadership during project lifecycle: design reviews, solution validation, and deployment strategies.\r\nPartner with IT security and compliance teams to embed security controls and regulatory adherence into all solutions.\r\nEvaluate emerging technologies and recommend adoption strategies aligned with enterprise goals.\r\nClean, transform, and organize raw data from multiple sources into usable formats.\r\nImplement and enforce data quality, security, and governance policies, and ensure data is backed up and accessible.\r\nWork with data scientists, analysts, and stakeholders to understand business needs and provide data for analytics and decision-making.\r\nEvaluate and optimize existing data systems for improved performance, reliability, and speed.\r\nCreate analytical tools and programs to help with data analysis and reporting.\r\nPartner with IT, BI, and business teams to translate requirements into technical solutions.\r\nSupport advanced analytics initiatives by enabling reliable and accessible data infrastructure.\r\nJob Requirements\r\nKnowledge, Skills, and Experience\r\nBachelor's or Master's degree in Computer Science, Information Systems, or related field.\r\n5+ years of experience in data engineering.\r\nProven experience with ETL tools, cloud platforms (such as Azure, AWS, GCP), and big data technologies.\r\nStrong understanding of enterprise data architecture, data modeling, and integration frameworks.\r\nKnowledge of cloud platforms (e.g., Azure, AWS, GCP) and data services (e.g., Snowflake, Databricks).\r\nFamiliarity with compliance standards (GDPR, HIPAA, SOX) and security best practices.\r\nCritical Skills / Technical Know-How\r\nExpertise in designing scalable data solutions using modern architectures (microservices, event-driven, API-first).\r\nProficiency in ETL/ELT tools, data warehousing, and big data technologies.\r\nProficiency in programming languages such as SQL and Python, experience with database systems, and familiarity with big data technologies.\r\nAbility to lead architecture reviews and communicate complex technical concepts to non-technical stakeholders.\r\nStrong problem-solving and analytical skills with experience in performance tuning and optimization.\r\nAbility to communicate requirements and results with both technical and non-technical team members.\r\nCompetencies\r\nStrategic Thinking – Aligns architecture decisions with long-term business objectives.\r\nTechnical Expertise – Demonstrates mastery of data architecture and emerging technologies.\r\nCollaboration & Influence – Builds strong relationships across IT and business teams.\r\nDecision Making – Makes informed, timely decisions under uncertainty.\r\nInnovation – Identifies and applies innovative solutions to complex problems.\r\nChange Agility – Adapts quickly to evolving technologies and business needs.\r\nCritical Success Factors & Key Challenges\r\nDelivering robust, secure, and scalable data solutions that meet business needs.\r\nDriving standardization and governance across diverse systems and teams.\r\nMaintaining strong stakeholder engagement and clear communication throughout projects.\r\nKey Challenges\r\nBalancing innovation with compliance and security requirements.\r\nManaging complexity in multi-cloud and hybrid environments.\r\nEnsuring interoperability and data quality across global systems.\r\nIND123\r\nTarget Market Salary Range\r\nActual compensation packages take into account a wide range of factors that are unique to each candidate, including but not limited to geographic location; skill sets; relevant education and certifications; depth of experience; performance; and other business and organizational needs. The disclosed reasonable estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Envista, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The total compensation package for this position may also include an annual performance bonus, medical/dental/vision benefits, 401K match, and/or other applicable compensation plans.\r\n$107,400 - $153,400\r\nOperating Company\r\nCorporate\r\nEnvista is a global family of more than 30 trusted dental brands, united by a shared purpose: to partner with professionals to improve lives. Envista helps its partners deliver the best possible patient care through industry-leading products, solutions, and technology. Our comprehensive portfolio, including dental implants and treatment options, orthodontics, and digital imaging technologies, covers an estimated 90% of dentists' clinical needs for diagnosing, treating, and preventing dental conditions as well as improving the aesthetics of the human smile.\r\nEnvista and all Envista Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The \"EEO is the Law\" poster is available at: http://www.dol.gov/ofccp/regs/ compliance/posters/pdf/eeopost.pdf.\r\nEnvista and its family of companies (Envista) will not accept unsolicited resumes from any source other than directly from a candidate. Envista will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (Agency) to have been referred by the Agency free of charge and Envista will not pay a fee for any placement resulting from the receipt such unsolicited resumes. An Agency must obtain advance written approval from Envista\\'s internal Talent Acquisition or Human Resources team to submit resumes, and then only in conjunction with a valid fully-executed contract approved by the Global Talent Acquisition leader and in response to a specific job opening. Envista will not pay a fee to any Agency that does not have such agreement and written approval in place.\r\nJ-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Brea","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-08T01:53:08.590Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-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":"Data Engineer Manager","description":"Job Description Develops or modifies program logic for new applications or software which may include coding, testing, debugging, documenting, implementing and maintaining software applications. Analyzes requirements, and maintains, tests and integrates application components. Programmer Analyst roles should be assigned to this job family.\r\nAccountabilities\r\nDesign and implement scalable data pipelines for structured and unstructured data.\r\nDevelop and maintain data models, integration frameworks, and storage solutions (cloud/on-prem/hybrid).\r\nCreate scalable and reliable ETL/ELT processes to extract, transform, and load data from various sources into data warehouses or data lakes.\r\nEnsure adherence to data governance, security, and compliance standards (GDPR, HIPAA, SOX).\r\nImplement best practices for data quality, lineage, and metadata management.\r\nDefine and maintain the overall data solution architecture, including integration patterns, data models, and governance frameworks.\r\nCollaborate with business stakeholders to translate requirements into technical designs that meet performance, security, and compliance standards.\r\nOversee implementation of data platforms (e.g., cloud, on-premise, hybrid) ensuring scalability and interoperability.\r\nEstablish and enforce architecture principles, standards, and best practices across development teams.\r\nProvide technical leadership during project lifecycle: design reviews, solution validation, and deployment strategies.\r\nPartner with IT security and compliance teams to embed security controls and regulatory adherence into all solutions.\r\nEvaluate emerging technologies and recommend adoption strategies aligned with enterprise goals.\r\nClean, transform, and organize raw data from multiple sources into usable formats.\r\nImplement and enforce data quality, security, and governance policies, and ensure data is backed up and accessible.\r\nWork with data scientists, analysts, and stakeholders to understand business needs and provide data for analytics and decision-making.\r\nEvaluate and optimize existing data systems for improved performance, reliability, and speed.\r\nCreate analytical tools and programs to help with data analysis and reporting.\r\nPartner with IT, BI, and business teams to translate requirements into technical solutions.\r\nSupport advanced analytics initiatives by enabling reliable and accessible data infrastructure.\r\nJob Requirements\r\nKnowledge, Skills, and Experience\r\nBachelor's or Master's degree in Computer Science, Information Systems, or related field.\r\n5+ years of experience in data engineering.\r\nProven experience with ETL tools, cloud platforms (such as Azure, AWS, GCP), and big data technologies.\r\nStrong understanding of enterprise data architecture, data modeling, and integration frameworks.\r\nKnowledge of cloud platforms (e.g., Azure, AWS, GCP) and data services (e.g., Snowflake, Databricks).\r\nFamiliarity with compliance standards (GDPR, HIPAA, SOX) and security best practices.\r\nCritical Skills / Technical Know-How\r\nExpertise in designing scalable data solutions using modern architectures (microservices, event-driven, API-first).\r\nProficiency in ETL/ELT tools, data warehousing, and big data technologies.\r\nProficiency in programming languages such as SQL and Python, experience with database systems, and familiarity with big data technologies.\r\nAbility to lead architecture reviews and communicate complex technical concepts to non-technical stakeholders.\r\nStrong problem-solving and analytical skills with experience in performance tuning and optimization.\r\nAbility to communicate requirements and results with both technical and non-technical team members.\r\nCompetencies\r\nStrategic Thinking – Aligns architecture decisions with long-term business objectives.\r\nTechnical Expertise – Demonstrates mastery of data architecture and emerging technologies.\r\nCollaboration & Influence – Builds strong relationships across IT and business teams.\r\nDecision Making – Makes informed, timely decisions under uncertainty.\r\nInnovation – Identifies and applies innovative solutions to complex problems.\r\nChange Agility – Adapts quickly to evolving technologies and business needs.\r\nCritical Success Factors & Key Challenges\r\nDelivering robust, secure, and scalable data solutions that meet business needs.\r\nDriving standardization and governance across diverse systems and teams.\r\nMaintaining strong stakeholder engagement and clear communication throughout projects.\r\nKey Challenges\r\nBalancing innovation with compliance and security requirements.\r\nManaging complexity in multi-cloud and hybrid environments.\r\nEnsuring interoperability and data quality across global systems.\r\nIND123\r\nTarget Market Salary Range\r\nActual compensation packages take into account a wide range of factors that are unique to each candidate, including but not limited to geographic location; skill sets; relevant education and certifications; depth of experience; performance; and other business and organizational needs. The disclosed reasonable estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Envista, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. The total compensation package for this position may also include an annual performance bonus, medical/dental/vision benefits, 401K match, and/or other applicable compensation plans.\r\n$107,400 - $153,400\r\nOperating Company\r\nCorporate\r\nEnvista is a global family of more than 30 trusted dental brands, united by a shared purpose: to partner with professionals to improve lives. Envista helps its partners deliver the best possible patient care through industry-leading products, solutions, and technology. Our comprehensive portfolio, including dental implants and treatment options, orthodontics, and digital imaging technologies, covers an estimated 90% of dentists' clinical needs for diagnosing, treating, and preventing dental conditions as well as improving the aesthetics of the human smile.\r\nEnvista and all Envista Companies are equal opportunity employers that evaluate qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. The \"EEO is the Law\" poster is available at: http://www.dol.gov/ofccp/regs/ compliance/posters/pdf/eeopost.pdf.\r\nEnvista and its family of companies (Envista) will not accept unsolicited resumes from any source other than directly from a candidate. Envista will consider unsolicited referrals and/or resumes submitted by vendors such as search firms, staffing agencies, professional recruiters, fee-based referral services and recruiting agencies (Agency) to have been referred by the Agency free of charge and Envista will not pay a fee for any placement resulting from the receipt such unsolicited resumes. An Agency must obtain advance written approval from Envista\\'s internal Talent Acquisition or Human Resources team to submit resumes, and then only in conjunction with a valid fully-executed contract approved by the Global Talent Acquisition leader and in response to a specific job opening. Envista will not pay a fee to any Agency that does not have such agreement and written approval in place.\r\nJ-18808-Ljbffr","datePosted":"2026-08-08T01:53:08.590Z","dateModified":"2026-08-08T01:53:08.590Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Brea","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"130789d082a112b264d7747a"},"url":"https://jobsearcher.com/jobs/130789d082a112b264d7747a"}}