{"schemaVersion":"jobsearcher.job.v1","id":"abc95b16350516d4bbedcbf7","url":"https://jobsearcher.com/jobs/abc95b16350516d4bbedcbf7","canonicalUrl":"https://jobsearcher.com/jobs/abc95b16350516d4bbedcbf7","title":"Senior Data Engineer (Contract) - Data Quality & Systems Forensics","description":"Senior Data Engineer – Data Quality & Systems Forensics\n\n6-Month Contract / Fixed-Term Role\n\nLocation: Carson, CA (hybrid) or remote with strong Pacific Time overlap\nDuration: 6 months, full-time\nCompensation: $70K to $80K for the six-month engagement\nTeam: Global Data & AI\n\nAbout the Role\n\nDermalogica is looking for a senior, hands-on data engineer to help us strengthen the fundamentals of our global data environment.\n\nThis is not a traditional reporting role, and it is not primarily a greenfield data engineering role. We are looking for someone who is exceptionally good at investigating how complex systems actually work, finding where data has gone wrong, fixing the underlying issue, and putting controls in place so it does not happen again.\n\nYou will inherit a prioritized backlog of known data quality and integration issues across a hybrid environment that includes ERP systems, e-commerce platforms, marketplace data, SQL Server databases, ETL processes, cloud data warehousing, and downstream analytics.\n\nThe right person will be comfortable peeling back the layers of an unfamiliar system: starting with a number that does not make sense, tracing it through databases, views, stored procedures, integration jobs and source systems, determining exactly where and why it broke, and driving the issue through to resolution.\n\nWe are looking for someone with strong technical depth, forensic instincts, practical judgment, and the confidence to operate independently in an environment where documentation is sometimes incomplete and the answer is not always obvious.\n\nWhat You’ll Do\nInvestigate and root-cause data discrepancies across source systems, databases, integrations, data warehouses, and reporting layers.\nTrace data end-to-end to understand where transformations, mappings, filters, jobs, or business rules are producing incorrect results.\nOwn a prioritized backlog of data quality issues from investigation through remediation, validation, backfill, and closure.\nAudit existing SQL jobs, stored procedures, ETL processes, dependencies, and transformation logic to identify fragile or undocumented behavior.\nIdentify and eliminate hardcoded business rules, silent failures, incomplete loads, duplicate data, and other recurring sources of data quality problems.\nCorrect issues at the appropriate architectural layer rather than applying downstream patches.\nRecover and backfill missing or incorrect historical data and reconcile results back to source systems.\nImprove customer, channel, product, and other master-data mappings where inconsistent logic is affecting reporting.\nReplace fragile manual data processes with governed, scheduled, and monitored pipelines where appropriate.\nBuild automated reconciliation, feed-health checks, and alerting so data failures are detected quickly rather than discovered through manual review.\nImprove dependency management, reload processes, and change controls so upstream changes do not create unexpected downstream issues.\nDocument critical data lineage, system dependencies, transformation logic, and ownership as the environment is cleaned up.\nWork closely with internal IT, Finance, market teams, external development partners, and vendors to drive issues to resolution.\nCommunicate technical findings clearly to both technical and non-technical stakeholders.\nWhat We’re Looking For\nMust Have\n7+ years of hands-on data engineering, database engineering, or closely related experience in production environments.\nDeep experience with Microsoft SQL Server and T-SQL, including complex queries, views, stored procedures, scheduled jobs, and production troubleshooting.\nStrong understanding of ETL/ELT pipelines, system integrations, database dependencies, and data warehouse architecture.\nDemonstrated experience diagnosing and resolving data integrity or data quality incidents, not only building new pipelines.\nAbility to take an ambiguous problem — for example, “these numbers do not reconcile” — and independently determine where, when, and why the problem occurred.\nExperience tracing data across multiple systems and determining the appropriate source of truth.\nStrong analytical and forensic problem-solving skills. You are comfortable digging through unfamiliar systems, testing assumptions, and following evidence until you understand the root cause.\nStrong practical judgment and common sense. You know when something technically works but does not make sense from a business or data perspective.\nAbility to make safe changes in shared production environments and understand downstream impacts before implementing them.\nAbility to work independently with limited direction and drive issues across multiple teams through completion.\nClear written and verbal communication skills.\nNice to Have\nExperience with BigQuery or another modern cloud data warehouse.\nExperience with SSIS, SQL Agent, or similar scheduling/orchestration technologies.\nExperience working with ERP data such as JD Edwards, Microsoft Dynamics NAV, or Business Central.\nFamiliarity with commerce platforms such as Shopify or Amazon marketplace data.\nExperience working with financial or commercial datasets, including invoices, transactions, sales, returns, tax, accruals, or general-ledger data.\nExperience reconciling data between operational systems, financial systems, warehouses, and BI/reporting tools.\nExperience with data observability, automated reconciliation, data-quality monitoring, or building similar controls.\nExperience working with legacy systems, offshore development teams, external vendors, or environments where system knowledge is distributed across multiple groups.\nThe Person Who Will Succeed in This Role\n\nYou are naturally skeptical of data that does not make sense.\n\nWhen you find a discrepancy, you do not stop when you find a workaround. You want to understand what created it, what else it may have affected, whether it has happened before, and how to prevent it from happening again.\n\nYou are comfortable opening an unfamiliar stored procedure, examining job history, comparing source tables, talking to Finance about what a transaction should represent, and challenging assumptions made by other technical teams.\n\nYou are methodical without being bureaucratic, technically rigorous without losing sight of the business problem, and comfortable working in systems that are not perfectly documented.\n\nMost importantly, you know how to peel back the onion until you get to the real answer.\n\nWhat Success Looks Like\n\nOver the six-month engagement, you will:\n\nBuild a clear understanding of the critical data flows, jobs, dependencies, and transformation logic behind global reporting.\nResolve and close the highest-priority data quality and integration issues.\nCorrect historical data where necessary and establish confidence that key datasets reconcile back to their source systems.\nReduce reliance on fragile manual processes and undocumented logic.\nIntroduce automated reconciliation, monitoring, and alerting for critical data flows.\nImprove documentation, lineage, ownership, and change controls.\nLeave behind a substantially cleaner, more reliable, and easier-to-operate data environment with a clear process for managing any remaining issues.\n\nThe total expected compensation for this 6 month contract will range from $70K to $80K. The exact amount is determined by various factors including experience, skills, education, location, and budget.\n\nApply now and complete your online application. All applications will be reviewed, and our HR team will contact you if your skills and experiences align with the position.\n\nDermalogica is an equal opportunity employer committed to fostering an inclusive culture where all employees are valued, supported, and empowered to succeed.","company":"Dermalogica","rawCompany":"dermalogica","city":"Carson","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-09-14T04:58:39.535Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"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":"Senior Data Engineer (Contract) - Data Quality & Systems Forensics","description":"Senior Data Engineer – Data Quality & Systems Forensics\n\n6-Month Contract / Fixed-Term Role\n\nLocation: Carson, CA (hybrid) or remote with strong Pacific Time overlap\nDuration: 6 months, full-time\nCompensation: $70K to $80K for the six-month engagement\nTeam: Global Data & AI\n\nAbout the Role\n\nDermalogica is looking for a senior, hands-on data engineer to help us strengthen the fundamentals of our global data environment.\n\nThis is not a traditional reporting role, and it is not primarily a greenfield data engineering role. We are looking for someone who is exceptionally good at investigating how complex systems actually work, finding where data has gone wrong, fixing the underlying issue, and putting controls in place so it does not happen again.\n\nYou will inherit a prioritized backlog of known data quality and integration issues across a hybrid environment that includes ERP systems, e-commerce platforms, marketplace data, SQL Server databases, ETL processes, cloud data warehousing, and downstream analytics.\n\nThe right person will be comfortable peeling back the layers of an unfamiliar system: starting with a number that does not make sense, tracing it through databases, views, stored procedures, integration jobs and source systems, determining exactly where and why it broke, and driving the issue through to resolution.\n\nWe are looking for someone with strong technical depth, forensic instincts, practical judgment, and the confidence to operate independently in an environment where documentation is sometimes incomplete and the answer is not always obvious.\n\nWhat You’ll Do\nInvestigate and root-cause data discrepancies across source systems, databases, integrations, data warehouses, and reporting layers.\nTrace data end-to-end to understand where transformations, mappings, filters, jobs, or business rules are producing incorrect results.\nOwn a prioritized backlog of data quality issues from investigation through remediation, validation, backfill, and closure.\nAudit existing SQL jobs, stored procedures, ETL processes, dependencies, and transformation logic to identify fragile or undocumented behavior.\nIdentify and eliminate hardcoded business rules, silent failures, incomplete loads, duplicate data, and other recurring sources of data quality problems.\nCorrect issues at the appropriate architectural layer rather than applying downstream patches.\nRecover and backfill missing or incorrect historical data and reconcile results back to source systems.\nImprove customer, channel, product, and other master-data mappings where inconsistent logic is affecting reporting.\nReplace fragile manual data processes with governed, scheduled, and monitored pipelines where appropriate.\nBuild automated reconciliation, feed-health checks, and alerting so data failures are detected quickly rather than discovered through manual review.\nImprove dependency management, reload processes, and change controls so upstream changes do not create unexpected downstream issues.\nDocument critical data lineage, system dependencies, transformation logic, and ownership as the environment is cleaned up.\nWork closely with internal IT, Finance, market teams, external development partners, and vendors to drive issues to resolution.\nCommunicate technical findings clearly to both technical and non-technical stakeholders.\nWhat We’re Looking For\nMust Have\n7+ years of hands-on data engineering, database engineering, or closely related experience in production environments.\nDeep experience with Microsoft SQL Server and T-SQL, including complex queries, views, stored procedures, scheduled jobs, and production troubleshooting.\nStrong understanding of ETL/ELT pipelines, system integrations, database dependencies, and data warehouse architecture.\nDemonstrated experience diagnosing and resolving data integrity or data quality incidents, not only building new pipelines.\nAbility to take an ambiguous problem — for example, “these numbers do not reconcile” — and independently determine where, when, and why the problem occurred.\nExperience tracing data across multiple systems and determining the appropriate source of truth.\nStrong analytical and forensic problem-solving skills. You are comfortable digging through unfamiliar systems, testing assumptions, and following evidence until you understand the root cause.\nStrong practical judgment and common sense. You know when something technically works but does not make sense from a business or data perspective.\nAbility to make safe changes in shared production environments and understand downstream impacts before implementing them.\nAbility to work independently with limited direction and drive issues across multiple teams through completion.\nClear written and verbal communication skills.\nNice to Have\nExperience with BigQuery or another modern cloud data warehouse.\nExperience with SSIS, SQL Agent, or similar scheduling/orchestration technologies.\nExperience working with ERP data such as JD Edwards, Microsoft Dynamics NAV, or Business Central.\nFamiliarity with commerce platforms such as Shopify or Amazon marketplace data.\nExperience working with financial or commercial datasets, including invoices, transactions, sales, returns, tax, accruals, or general-ledger data.\nExperience reconciling data between operational systems, financial systems, warehouses, and BI/reporting tools.\nExperience with data observability, automated reconciliation, data-quality monitoring, or building similar controls.\nExperience working with legacy systems, offshore development teams, external vendors, or environments where system knowledge is distributed across multiple groups.\nThe Person Who Will Succeed in This Role\n\nYou are naturally skeptical of data that does not make sense.\n\nWhen you find a discrepancy, you do not stop when you find a workaround. You want to understand what created it, what else it may have affected, whether it has happened before, and how to prevent it from happening again.\n\nYou are comfortable opening an unfamiliar stored procedure, examining job history, comparing source tables, talking to Finance about what a transaction should represent, and challenging assumptions made by other technical teams.\n\nYou are methodical without being bureaucratic, technically rigorous without losing sight of the business problem, and comfortable working in systems that are not perfectly documented.\n\nMost importantly, you know how to peel back the onion until you get to the real answer.\n\nWhat Success Looks Like\n\nOver the six-month engagement, you will:\n\nBuild a clear understanding of the critical data flows, jobs, dependencies, and transformation logic behind global reporting.\nResolve and close the highest-priority data quality and integration issues.\nCorrect historical data where necessary and establish confidence that key datasets reconcile back to their source systems.\nReduce reliance on fragile manual processes and undocumented logic.\nIntroduce automated reconciliation, monitoring, and alerting for critical data flows.\nImprove documentation, lineage, ownership, and change controls.\nLeave behind a substantially cleaner, more reliable, and easier-to-operate data environment with a clear process for managing any remaining issues.\n\nThe total expected compensation for this 6 month contract will range from $70K to $80K. The exact amount is determined by various factors including experience, skills, education, location, and budget.\n\nApply now and complete your online application. All applications will be reviewed, and our HR team will contact you if your skills and experiences align with the position.\n\nDermalogica is an equal opportunity employer committed to fostering an inclusive culture where all employees are valued, supported, and empowered to succeed.","datePosted":"2026-09-14T04:58:39.535Z","dateModified":"2026-09-14T04:58:39.535Z","hiringOrganization":{"@type":"Organization","name":"Dermalogica","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Carson","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"abc95b16350516d4bbedcbf7"},"url":"https://jobsearcher.com/jobs/abc95b16350516d4bbedcbf7"}}