{"schemaVersion":"jobsearcher.job.v1","id":"f93c8006f718514c730b746d","url":"https://jobsearcher.com/jobs/f93c8006f718514c730b746d","canonicalUrl":"https://jobsearcher.com/jobs/f93c8006f718514c730b746d","title":"Lead Data Engineer","description":"About Egen:\nEgen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.\nWant to learn more about life at Egen? Check out these resources in addition to the job description.\n> Meet Egen\n> Life at Egen\n> Culture and Values at Egen\n> Career Development at Egen\nRole Overview:\nWe're looking for a Lead Data Engineer to architect and build modern, cloud-native data platforms on Google Cloud. You'll lead the design of unified batch and streaming pipelines, drive data quality and governance practices, and set the technical direction for open, interoperable data architectures. This is a hands-on leadership role for someone who enjoys solving complex data problems and mentoring engineers along the way.\nWhat You'll Do:\nArchitect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical backbone\nDesign and build unified batch and streaming pipelines that handle high-volume, mission-critical workloads\nLead infrastructure-as-code practices, ensuring environments are repeatable, secure, and version-controlled\nImplement open table formats to enable cross-cloud and cross-engine data interoperability\nEstablish automated data quality, metadata, and lineage practices across the data estate\nPartner with data scientists, analysts, and product teams to translate business needs into reliable data products\nMentor engineers, review designs, and raise the bar on engineering standards\nMust-Have Skills:\n7+ years in data engineering, with at least 2 years in a lead or senior individual contributor capacity on Google Cloud-based platforms\nBigQuery (Advanced): Deep knowledge of BigQuery architecture, including partitioning, clustering, slot management, storage optimization, and query execution tuning\nStreaming & Batch Pipelines: Strong hands-on experience building unified pipelines using Dataflow (Apache Beam), Dataproc, and Pub/Sub\nInfrastructure as Code: Production experience developing and managing cloud infrastructure with Terraform\nOpen Table Formats: Working knowledge of Apache Iceberg, including its role in enabling cloud and engine interoperability (e.g., across BigQuery, Spark, Snowflake)\nData Governance: Experience with Dataplex and Data Catalog for automated data quality checks, metadata tagging, and column-level lineage from source to destination\nNice-to-Have Skills:\nExperience leading or mentoring data engineering teams\nFamiliarity with CI/CD for data pipelines (Cloud Build, GitHub Actions)\nExposure to multi-cloud or hybrid data architectures\nBackground in regulated industries (healthcare, financial services) where governance and lineage are critical\n$143,400 - $168,650 a year\nCompensation & Benefits:\nThis role is eligible for our competitive salary and comprehensive benefits package to support your well-being:\nComprehensive Health Insurance\nPaid Leave (Vacation/PTO)\nPaid Holidays\nSick Leave\nParental Leave\nBereavement Leave\n401 (k) Employer Match\nEmployee Referral Bonuses\nCheck out our complete list of benefits here - >https://egen.ai/people/#benefits\nImportant: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.\nEEO and Accommodations:\nEgen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","company":"Egen Solutions","rawCompany":"egen solutions","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-05T12:59:10.036Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Engineer","description":"About Egen:\nEgen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.\nWant to learn more about life at Egen? Check out these resources in addition to the job description.\n> Meet Egen\n> Life at Egen\n> Culture and Values at Egen\n> Career Development at Egen\nRole Overview:\nWe're looking for a Lead Data Engineer to architect and build modern, cloud-native data platforms on Google Cloud. You'll lead the design of unified batch and streaming pipelines, drive data quality and governance practices, and set the technical direction for open, interoperable data architectures. This is a hands-on leadership role for someone who enjoys solving complex data problems and mentoring engineers along the way.\nWhat You'll Do:\nArchitect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical backbone\nDesign and build unified batch and streaming pipelines that handle high-volume, mission-critical workloads\nLead infrastructure-as-code practices, ensuring environments are repeatable, secure, and version-controlled\nImplement open table formats to enable cross-cloud and cross-engine data interoperability\nEstablish automated data quality, metadata, and lineage practices across the data estate\nPartner with data scientists, analysts, and product teams to translate business needs into reliable data products\nMentor engineers, review designs, and raise the bar on engineering standards\nMust-Have Skills:\n7+ years in data engineering, with at least 2 years in a lead or senior individual contributor capacity on Google Cloud-based platforms\nBigQuery (Advanced): Deep knowledge of BigQuery architecture, including partitioning, clustering, slot management, storage optimization, and query execution tuning\nStreaming & Batch Pipelines: Strong hands-on experience building unified pipelines using Dataflow (Apache Beam), Dataproc, and Pub/Sub\nInfrastructure as Code: Production experience developing and managing cloud infrastructure with Terraform\nOpen Table Formats: Working knowledge of Apache Iceberg, including its role in enabling cloud and engine interoperability (e.g., across BigQuery, Spark, Snowflake)\nData Governance: Experience with Dataplex and Data Catalog for automated data quality checks, metadata tagging, and column-level lineage from source to destination\nNice-to-Have Skills:\nExperience leading or mentoring data engineering teams\nFamiliarity with CI/CD for data pipelines (Cloud Build, GitHub Actions)\nExposure to multi-cloud or hybrid data architectures\nBackground in regulated industries (healthcare, financial services) where governance and lineage are critical\n$143,400 - $168,650 a year\nCompensation & Benefits:\nThis role is eligible for our competitive salary and comprehensive benefits package to support your well-being:\nComprehensive Health Insurance\nPaid Leave (Vacation/PTO)\nPaid Holidays\nSick Leave\nParental Leave\nBereavement Leave\n401 (k) Employer Match\nEmployee Referral Bonuses\nCheck out our complete list of benefits here - >https://egen.ai/people/#benefits\nImportant: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.\nEEO and Accommodations:\nEgen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.\nWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.","datePosted":"2026-08-05T12:59:10.036Z","dateModified":"2026-08-05T12:59:10.036Z","hiringOrganization":{"@type":"Organization","name":"Egen Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f93c8006f718514c730b746d"},"url":"https://jobsearcher.com/jobs/f93c8006f718514c730b746d"}}