{"schemaVersion":"jobsearcher.job.v1","id":"2e9d711cbbbf371d9d76ec0d","url":"https://jobsearcher.com/jobs/2e9d711cbbbf371d9d76ec0d","canonicalUrl":"https://jobsearcher.com/jobs/2e9d711cbbbf371d9d76ec0d","title":"Data Engineer / QA (SS22)","description":"Data Engineer / QA DETAILS Location: Remote Position Type: 16M+ Contract Hourly / Salary: to $75W2+ (based on experience)JOB SUMMARY Vaco is currently seeking a Data Engineer / QA for a 16M+ Contract opportunity that is remote. The Data Engineer / QA will support a large-scale enterprise data modernization initiative focused on building cloud-native data pipelines, modernizing legacy ETL processes, and delivering trusted, high-quality analytical data within Snowflake. The Data Engineer / QA will develop scalable ingestion pipelines, implement transformation logic, validate enterprise datasets, and support migration efforts while ensuring data quality, reconciliation, and governance throughout the delivery lifecycle. The ideal Data Engineer / QA will possess strong Snowflake engineering experience combined with data validation, testing, and quality assurance expertise. The Data Engineer / QA will be heavily focused on modern cloud data engineering and not traditional database administration or reporting development. Snowflake Data Engineering - Developing Enterprise Data Pipelines / ELT Workflows / Cloud-Native Data Processing Solutions within SnowflakeData Ingestion / ELT Development - Designing / Developing Data Ingestion Pipelines Supporting Batch / Incremental / Near Real-Time Data ProcessingSQL Development / Optimization - Developing Complex SQL Logic / Query Optimization / Transformation Processes Supporting Enterprise AnalyticsPython Data Engineering - Building Python-Based Data Processing / Automation / Validation / Pipeline SupportDBT Development - Developing / Maintaining DBT Models Supporting Modular Data Transformations / Testing / Documentation / Analytics Engineering Best PracticesETL / ELT Modernization - Modernizing Legacy ETL Workloads into Cloud-Native ELT Architectures Leveraging Snowflake / DBTChange Data Capture (CDC) - Developing CDC Pipelines Supporting Incremental Data Loads / Synchronization / Low-Latency Data MovementData Validation / Reconciliation - Performing Source-to-Target Data Validation / Reconciliation / Completeness Verification to Ensure Accurate / Trusted / Consistent DataData Quality / QA - Supporting Data Quality Validation / QA Reviews / Testing Activities Throughout Development / Migration / Production DeploymentMigration Support - Supporting Enterprise Data Migration Initiatives (Legacy Platform Modernization / Data Conversion / Validation Activities)CI/CD Automation - Building Automated Deployment Pipelines Supporting Data Engineering Releases / Testing / Production PromotionDevOps Collaboration - Partnering with Data Engineering / Architecture / QA Teams Using Azure DevOps / Git throughout Agile Delivery JOB REQUIREMENTSSnowflake - Developing Enterprise Data Pipelines / ELT Processes / Cloud Data Warehouse Solutions within SnowflakeSQL - Strong Experience Developing Complex SQL Queries / Stored Procedures / Data Transformations / Performance OptimizationPython - Developing Python-Based Data Engineering Solutions Supporting Automation / Pipeline Development / Data ValidationDBT - Experience Building Modular DBT Models / Transformations / Tests / Documentation Supporting Analytics Engineering Best PracticesETL / ELT Development - Experience Designing / Developing / Modernizing Enterprise Data Integration SolutionsChange Data Capture (CDC) - Experience Implementing CDC Pipelines Supporting Incremental Data Processing / Data SynchronizationData Validation / Reconciliation - Experience Performing Source-to-Target Validation / Data Reconciliation / Quality Verification Across Enterprise Data PipelinesData Quality / QA - Experience Supporting Data Quality Validation / Testing / QA Processes Throughout Enterprise Data DeliveryCI/CD - Experience Building Automated Deployment Pipelines Supporting Data Engineering Development and Production ReleasesAzure DevOps - Experience Managing Agile Delivery / Source Control / Build Pipelines / Release Management within Azure DevOpsGit - Experience Utilizing Git for Source Control / Branching / Code Reviews / Collaborative DevelopmentAnalytical Problem Solving - Investigating Data Quality Issues / Pipeline Failures / Transformation Errors / Root Cause Analysis Supporting Continuous Improvement PREFERRED (not required)Data Vault - Designing / Supporting Data Vault Architectures for Scalable Enterprise Data Warehouse SolutionsKimball Methodology - Designing Dimensional Models (Star Schemas / Fact Tables / Conformed Dimensions) Supporting Enterprise Reporting / Business IntelligenceEnterprise Data Governance - Supporting Enterprise Data Governance / Metadata Management / Business Glossary InitiativesBusiness Intelligence Platforms - Experience Supporting Modern BI / Reporting Platforms Including Power BI / Tableau / LookerAgile Data Delivery -Working in Agile Data Engineering / Analytics Delivery Teams Supporting Iterative Solution Development / DeliveryDetermining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.Equal Opportunity NoticeHighspring LLC (d/b/a Vaco by Highspring) and its parents, affiliates, and subsidiaries (\"we,\" \"our,\" or \"Vaco by Highspring\") are committed to the full inclusion of all qualified individuals and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by applicable law. The company is also committed to ensuring that persons who need them are provided with reasonable accommodations; if an accommodation is needed to participate in the job application or interview process, please contact HR@vaco.com .Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.Representation NoticeBy submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. Additionally, you agree to be included in our talent pool for future hiring for similarly qualified positions. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. Lastly, you agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.For residents of Ontario, Canada only: to the extent the position for employment is not with Highspring or not otherwise noted as vacant above, candidate should be informed that this role is to replace a presently employed person at Vaco by Highspring's client.Privacy NoticeVaco by Highspring respects your privacy and are committed to providing transparent notice of our policies.California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.Virginia residents may access our state specific policies here.Residents of all other states may access our policies here.Canadian residents may access our policies in English here and in French here.Residents of countries governed by GDPR and UK GDPR may access our policies here.Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring.Pay Transparency NoticeDetermining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:· the individual's skill sets, experience and training;· licensure and certification requirements;· office location and other geographic considerations; and· other business and organizational needs.With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses and/or participation in medical, dental, and vision benefits as well as the company's retirement plan (or similar retirement benefits).","company":"Vaco by HighSpring","rawCompany":"vaco by highspring","city":"Addison","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-01T10:38:04.287Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer / QA (SS22)","description":"Data Engineer / QA DETAILS Location: Remote Position Type: 16M+ Contract Hourly / Salary: to $75W2+ (based on experience)JOB SUMMARY Vaco is currently seeking a Data Engineer / QA for a 16M+ Contract opportunity that is remote. The Data Engineer / QA will support a large-scale enterprise data modernization initiative focused on building cloud-native data pipelines, modernizing legacy ETL processes, and delivering trusted, high-quality analytical data within Snowflake. The Data Engineer / QA will develop scalable ingestion pipelines, implement transformation logic, validate enterprise datasets, and support migration efforts while ensuring data quality, reconciliation, and governance throughout the delivery lifecycle. The ideal Data Engineer / QA will possess strong Snowflake engineering experience combined with data validation, testing, and quality assurance expertise. The Data Engineer / QA will be heavily focused on modern cloud data engineering and not traditional database administration or reporting development. Snowflake Data Engineering - Developing Enterprise Data Pipelines / ELT Workflows / Cloud-Native Data Processing Solutions within SnowflakeData Ingestion / ELT Development - Designing / Developing Data Ingestion Pipelines Supporting Batch / Incremental / Near Real-Time Data ProcessingSQL Development / Optimization - Developing Complex SQL Logic / Query Optimization / Transformation Processes Supporting Enterprise AnalyticsPython Data Engineering - Building Python-Based Data Processing / Automation / Validation / Pipeline SupportDBT Development - Developing / Maintaining DBT Models Supporting Modular Data Transformations / Testing / Documentation / Analytics Engineering Best PracticesETL / ELT Modernization - Modernizing Legacy ETL Workloads into Cloud-Native ELT Architectures Leveraging Snowflake / DBTChange Data Capture (CDC) - Developing CDC Pipelines Supporting Incremental Data Loads / Synchronization / Low-Latency Data MovementData Validation / Reconciliation - Performing Source-to-Target Data Validation / Reconciliation / Completeness Verification to Ensure Accurate / Trusted / Consistent DataData Quality / QA - Supporting Data Quality Validation / QA Reviews / Testing Activities Throughout Development / Migration / Production DeploymentMigration Support - Supporting Enterprise Data Migration Initiatives (Legacy Platform Modernization / Data Conversion / Validation Activities)CI/CD Automation - Building Automated Deployment Pipelines Supporting Data Engineering Releases / Testing / Production PromotionDevOps Collaboration - Partnering with Data Engineering / Architecture / QA Teams Using Azure DevOps / Git throughout Agile Delivery JOB REQUIREMENTSSnowflake - Developing Enterprise Data Pipelines / ELT Processes / Cloud Data Warehouse Solutions within SnowflakeSQL - Strong Experience Developing Complex SQL Queries / Stored Procedures / Data Transformations / Performance OptimizationPython - Developing Python-Based Data Engineering Solutions Supporting Automation / Pipeline Development / Data ValidationDBT - Experience Building Modular DBT Models / Transformations / Tests / Documentation Supporting Analytics Engineering Best PracticesETL / ELT Development - Experience Designing / Developing / Modernizing Enterprise Data Integration SolutionsChange Data Capture (CDC) - Experience Implementing CDC Pipelines Supporting Incremental Data Processing / Data SynchronizationData Validation / Reconciliation - Experience Performing Source-to-Target Validation / Data Reconciliation / Quality Verification Across Enterprise Data PipelinesData Quality / QA - Experience Supporting Data Quality Validation / Testing / QA Processes Throughout Enterprise Data DeliveryCI/CD - Experience Building Automated Deployment Pipelines Supporting Data Engineering Development and Production ReleasesAzure DevOps - Experience Managing Agile Delivery / Source Control / Build Pipelines / Release Management within Azure DevOpsGit - Experience Utilizing Git for Source Control / Branching / Code Reviews / Collaborative DevelopmentAnalytical Problem Solving - Investigating Data Quality Issues / Pipeline Failures / Transformation Errors / Root Cause Analysis Supporting Continuous Improvement PREFERRED (not required)Data Vault - Designing / Supporting Data Vault Architectures for Scalable Enterprise Data Warehouse SolutionsKimball Methodology - Designing Dimensional Models (Star Schemas / Fact Tables / Conformed Dimensions) Supporting Enterprise Reporting / Business IntelligenceEnterprise Data Governance - Supporting Enterprise Data Governance / Metadata Management / Business Glossary InitiativesBusiness Intelligence Platforms - Experience Supporting Modern BI / Reporting Platforms Including Power BI / Tableau / LookerAgile Data Delivery -Working in Agile Data Engineering / Analytics Delivery Teams Supporting Iterative Solution Development / DeliveryDetermining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.Equal Opportunity NoticeHighspring LLC (d/b/a Vaco by Highspring) and its parents, affiliates, and subsidiaries (\"we,\" \"our,\" or \"Vaco by Highspring\") are committed to the full inclusion of all qualified individuals and does not discriminate against any employee or applicant for employment because of race (including but not limited to traits historically associated with race such as hair texture and hair style), color, sex (includes pregnancy or related conditions), religion or creed, national origin, citizenship, age, disability, status as a veteran, union membership, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, political affiliation, or any other protected characteristics as required by applicable law. The company is also committed to ensuring that persons who need them are provided with reasonable accommodations; if an accommodation is needed to participate in the job application or interview process, please contact HR@vaco.com .Vaco by Highspring also wants all applicants to know their rights that workplace discrimination is illegal.Representation NoticeBy submitting to this position, you agree that you will be giving Vaco by Highspring the exclusive right to present your as a candidate for the foregoing employment opportunity. Additionally, you agree to be included in our talent pool for future hiring for similarly qualified positions. You further agree that you have represented information about yourself accurately and have not affirmatively misrepresented your qualifications. Lastly, you agree to maintain as confidential, to the fullest extent permitted by law, any information you learn from Vaco by Highspring about the position and you will limit disclosure of information about the position only to the extent necessary to perform any obligations in furtherance of your application. In exchange, Vaco by Highspring agrees to exercise reasonable efforts to represent you through all solicitation, job screening and resume dispersal.For residents of Ontario, Canada only: to the extent the position for employment is not with Highspring or not otherwise noted as vacant above, candidate should be informed that this role is to replace a presently employed person at Vaco by Highspring's client.Privacy NoticeVaco by Highspring respects your privacy and are committed to providing transparent notice of our policies.California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.Virginia residents may access our state specific policies here.Residents of all other states may access our policies here.Canadian residents may access our policies in English here and in French here.Residents of countries governed by GDPR and UK GDPR may access our policies here.Additionally, submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. More details about Vaco by Highspring's use of AI can be found here (https://www.highspring.com/ai-use-notices/). Further assessment of candidates beyond this initial phase will be conducted by recruiters and hiring managers. Vaco by Highspring does not know and cannot opine on if its client's use of AI products in hiring.Pay Transparency NoticeDetermining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:· the individual's skill sets, experience and training;· licensure and certification requirements;· office location and other geographic considerations; and· other business and organizational needs.With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses and/or participation in medical, dental, and vision benefits as well as the company's retirement plan (or similar retirement benefits).","datePosted":"2026-07-01T10:38:04.287Z","dateModified":"2026-07-01T10:38:04.287Z","hiringOrganization":{"@type":"Organization","name":"Vaco by HighSpring","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Addison","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2e9d711cbbbf371d9d76ec0d"},"url":"https://jobsearcher.com/jobs/2e9d711cbbbf371d9d76ec0d"}}