{"schemaVersion":"jobsearcher.job.v1","id":"c9d3f45ff5b7e75d8bb0fc0e","url":"https://jobsearcher.com/jobs/c9d3f45ff5b7e75d8bb0fc0e","canonicalUrl":"https://jobsearcher.com/jobs/c9d3f45ff5b7e75d8bb0fc0e","title":"Data Engineer","description":"Location\nUS Remote\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nResearch & Development\nCompensation\n$95K – $120K\nMeridianLink runs a comprehensive background check, credit check, and drug test as part of our offer process.\nIt is not typical for offers to be made at or near the top of the salary range. The actual salary will be determined based on experience and other job-related factors permitted by law including geographical location.\nMeridianlink offers:\nInsurance coverage (medical, dental, vision, life, and disability)\nFlexible paid time off\nPaid holidays\n401(k) plan with company match\nRemote work\nAll compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated, or superseded from time to time.\n#LI-REMOTE\n\nWe are seeking an accomplished Data Engineer to join our rapidly growing team. This role is responsible for designing, building, and evolving scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization. The ideal candidate is a hands-on engineer with strong experience building and maintaining data pipelines, and a passion for delivering robust data solutions that enable analytics and business decision-making.\nThe Data Engineer will partner with data architects, data analysts, data scientists, and cross-functional stakeholders to deliver trusted data assets supporting a wide range of business initiatives. They will ensure efficient and reliable data delivery across multiple teams, systems, and products in a dynamic environment. This role offers the opportunity to evolve and enhance a modern data platform by improving existing pipelines or redesigning them for greater scalability, performance, and maintainability. The successful candidate will apply modern software engineering practices, including AI-assisted development tools, to improve productivity, code quality, and delivery speed while maintaining strong engineering standards.\nRESPONSIBILITIES\nDesign, develop, and maintain scalable data pipelines and data products for\ninternal and external consumers.\nBuild and optimize batch and near real-time data ingestion, transformation, and\ndelivery processes.\nIntegrate data from internal and external sources to support business, reporting,\nand analytics requirements.\nCollaborate with data architects, analysts, data scientists, and business\nstakeholders to deliver scalable data solutions and support Sisense dashboards\nand analytics assets.\nDesign and implement data models that support reporting, analytics, and\noperational use cases.\nEnsure data quality, reliability, and performance through monitoring, validation,\nautomated testing, and troubleshooting.\nWrite maintainable, well-documented, and testable code; participate in code\nreviews; and leverage AI-assisted development tools to improve quality and\nefficiency.\nSupport CI/CD, infrastructure automation, technical documentation, and\ncontinuous improvements to data architecture, tooling, and engineering practices\nQUALIFICATIONS\n2–4 years of professional experience in Data Engineering, Data Warehousing, or\nrelated roles.\nStrong hands-on experience with Python and SQL for building scalable data\npipelines and transformation logic.\nExperience with Apache Spark, Parquet, and Azure Databricks, including\nDatabricks workflows, Delta Lake, Delta Sharing, and Unity Catalog.\nStrong SQL expertise including performance tuning, indexing, partitioning, query\noptimization, and stored procedure development.\nSolid understanding of ETL/ELT methodologies, data warehousing principles,\nand modern data engineering best practices.\nExperience designing and implementing data models to support analytics,\nreporting, and operational use cases.\nExperience supporting or working with BI tools such as Sisense (or similar\nplatforms).\nExperience with CI/CD pipelines and version control practices (e.g., GitLab,\nJenkins, or equivalent).\nExperience working in fast-paced product environments with an emphasis on\ndelivery, maintainability, and minimizing technical debt.\nStrong communication skills with the ability to collaborate across technical and\nnon-technical stakeholders\nBONUS QUALIFICATIONS\nExperience building lightweight data applications or internal tools using any of\nthe following frameworks such as Streamlit, Dash, Flask, Gradio, Shiny, or\nNode.js.\nAbility to navigate ambiguity, prioritize effectively, and adapt to changing\nbusiness needs.\nPrior experience in financial services or regulated environments is a plus\nCompensation Range: $95K - $120K\nApply for this Job","company":"Meridianlink","rawCompany":"meridianlink","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T17:42:14.755Z","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","description":"Location\nUS Remote\nEmployment Type\nFull time\nLocation Type\nRemote\nDepartment\nResearch & Development\nCompensation\n$95K – $120K\nMeridianLink runs a comprehensive background check, credit check, and drug test as part of our offer process.\nIt is not typical for offers to be made at or near the top of the salary range. The actual salary will be determined based on experience and other job-related factors permitted by law including geographical location.\nMeridianlink offers:\nInsurance coverage (medical, dental, vision, life, and disability)\nFlexible paid time off\nPaid holidays\n401(k) plan with company match\nRemote work\nAll compensation and benefits are subject to the terms and conditions of the underlying plans or programs, as applicable and as may be amended, terminated, or superseded from time to time.\n#LI-REMOTE\n\nWe are seeking an accomplished Data Engineer to join our rapidly growing team. This role is responsible for designing, building, and evolving scalable data pipeline architecture to ensure reliable, high-quality data delivery across the organization. The ideal candidate is a hands-on engineer with strong experience building and maintaining data pipelines, and a passion for delivering robust data solutions that enable analytics and business decision-making.\nThe Data Engineer will partner with data architects, data analysts, data scientists, and cross-functional stakeholders to deliver trusted data assets supporting a wide range of business initiatives. They will ensure efficient and reliable data delivery across multiple teams, systems, and products in a dynamic environment. This role offers the opportunity to evolve and enhance a modern data platform by improving existing pipelines or redesigning them for greater scalability, performance, and maintainability. The successful candidate will apply modern software engineering practices, including AI-assisted development tools, to improve productivity, code quality, and delivery speed while maintaining strong engineering standards.\nRESPONSIBILITIES\nDesign, develop, and maintain scalable data pipelines and data products for\ninternal and external consumers.\nBuild and optimize batch and near real-time data ingestion, transformation, and\ndelivery processes.\nIntegrate data from internal and external sources to support business, reporting,\nand analytics requirements.\nCollaborate with data architects, analysts, data scientists, and business\nstakeholders to deliver scalable data solutions and support Sisense dashboards\nand analytics assets.\nDesign and implement data models that support reporting, analytics, and\noperational use cases.\nEnsure data quality, reliability, and performance through monitoring, validation,\nautomated testing, and troubleshooting.\nWrite maintainable, well-documented, and testable code; participate in code\nreviews; and leverage AI-assisted development tools to improve quality and\nefficiency.\nSupport CI/CD, infrastructure automation, technical documentation, and\ncontinuous improvements to data architecture, tooling, and engineering practices\nQUALIFICATIONS\n2–4 years of professional experience in Data Engineering, Data Warehousing, or\nrelated roles.\nStrong hands-on experience with Python and SQL for building scalable data\npipelines and transformation logic.\nExperience with Apache Spark, Parquet, and Azure Databricks, including\nDatabricks workflows, Delta Lake, Delta Sharing, and Unity Catalog.\nStrong SQL expertise including performance tuning, indexing, partitioning, query\noptimization, and stored procedure development.\nSolid understanding of ETL/ELT methodologies, data warehousing principles,\nand modern data engineering best practices.\nExperience designing and implementing data models to support analytics,\nreporting, and operational use cases.\nExperience supporting or working with BI tools such as Sisense (or similar\nplatforms).\nExperience with CI/CD pipelines and version control practices (e.g., GitLab,\nJenkins, or equivalent).\nExperience working in fast-paced product environments with an emphasis on\ndelivery, maintainability, and minimizing technical debt.\nStrong communication skills with the ability to collaborate across technical and\nnon-technical stakeholders\nBONUS QUALIFICATIONS\nExperience building lightweight data applications or internal tools using any of\nthe following frameworks such as Streamlit, Dash, Flask, Gradio, Shiny, or\nNode.js.\nAbility to navigate ambiguity, prioritize effectively, and adapt to changing\nbusiness needs.\nPrior experience in financial services or regulated environments is a plus\nCompensation Range: $95K - $120K\nApply for this Job","datePosted":"2026-08-03T17:42:14.755Z","dateModified":"2026-08-03T17:42:14.755Z","hiringOrganization":{"@type":"Organization","name":"Meridianlink","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c9d3f45ff5b7e75d8bb0fc0e"},"url":"https://jobsearcher.com/jobs/c9d3f45ff5b7e75d8bb0fc0e"}}