{"schemaVersion":"jobsearcher.job.v1","id":"2a76c45c8c4e5da7ee08afbf","url":"https://jobsearcher.com/jobs/2a76c45c8c4e5da7ee08afbf","canonicalUrl":"https://jobsearcher.com/jobs/2a76c45c8c4e5da7ee08afbf","title":"Data Engineer","description":"Data Engineer·        Build and scale data pipelines in production environments using a modern data stack. ·        Carry out complex analysis utilizing PostgresSQL.·        Implement data modeling best practices to support analytics and reporting needs.·        Design technical architectures and infrastructure components. ·        Create automated data and code quality checks.·        Implement and enforce data governance policies and best practices to ensure data security and compliance.·        Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions. ·        Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.Desired Skills & Expertise:·        Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.·        3+ years of hands-on experience with Python for data processing in a production environment.·        2+ years of experience with PostgreSQL.·        Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.·        Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.·        Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.·        Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.·        Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus.Please send resumes to Mahesh@M9Consulting.com","company":"M9 Consulting","rawCompany":"m9 consulting","city":"Washington","state":"DC","isRemote":false,"isActive":false,"createdAt":"2026-04-15T08:43:54.401Z","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":"Data Engineer","description":"Data Engineer·        Build and scale data pipelines in production environments using a modern data stack. ·        Carry out complex analysis utilizing PostgresSQL.·        Implement data modeling best practices to support analytics and reporting needs.·        Design technical architectures and infrastructure components. ·        Create automated data and code quality checks.·        Implement and enforce data governance policies and best practices to ensure data security and compliance.·        Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions. ·        Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.Desired Skills & Expertise:·        Bachelor’s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.·        3+ years of hands-on experience with Python for data processing in a production environment.·        2+ years of experience with PostgreSQL.·        Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.·        Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.·        Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.·        Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.·        Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus.Please send resumes to Mahesh@M9Consulting.com","datePosted":"2026-04-15T08:43:54.401Z","dateModified":"2026-04-15T08:43:54.401Z","hiringOrganization":{"@type":"Organization","name":"M9 Consulting","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Washington","addressRegion":"DC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2a76c45c8c4e5da7ee08afbf"},"url":"https://jobsearcher.com/jobs/2a76c45c8c4e5da7ee08afbf"}}