{"schemaVersion":"jobsearcher.job.v1","id":"982f47cdae934db17d42d95a","url":"https://jobsearcher.com/jobs/982f47cdae934db17d42d95a","canonicalUrl":"https://jobsearcher.com/jobs/982f47cdae934db17d42d95a","title":"Lead data engineer","description":"Maes Solutions is actively recruiting Lead data engineer for full-time roles with direct clients across multiple US locations, emphasizing no C2C arrangements. The positions target candidates with 9 years experience as Data engineer, including consultants willing to relocate who are preferred, and align well with high demand in states like New York and Texas.Job responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDesigns, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and FlinkDevelops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standardsImplements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting and downstream consumptionPartners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutionsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respect.Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 9+ years of applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityDemonstrated professional experience focused on software engineering or data platform developmentAdvanced in one or more programming languages(s); Python, Java and SqlHands-on experience with distributed data processing frameworks such as Apache Spark and FlinkSolid understanding of data modeling techniques (star schema, snowflake) and query optimizationExperience designing and operating data pipelines on Databricks using orchestration tools such as Apache AirflowProficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)Experience engineering production-grade data platforms on Kubernetes with open catalog integration (e.g., Apache Iceberg, Unity Catalog, OpenMetadata) for scalable data discovery, lineage, and governance.Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.","company":"Maes Solutions","rawCompany":"maes solutions","city":"Dallas","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-01T10:06:57.801Z","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":"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":"Lead data engineer","description":"Maes Solutions is actively recruiting Lead data engineer for full-time roles with direct clients across multiple US locations, emphasizing no C2C arrangements. The positions target candidates with 9 years experience as Data engineer, including consultants willing to relocate who are preferred, and align well with high demand in states like New York and Texas.Job responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDesigns, builds, and maintains scalable data pipelines and ETL/ELT workflows for batch and real-time processing using Spark, Airflow, Kafka, and FlinkDevelops data platform components including data cataloging, data quality frameworks, and semantic/metrics layers with embedded governance, lineage, and compliance standardsImplements data modeling strategies (fact and dimensional, wide tables) to support analytics, reporting and downstream consumptionPartners with analytics teams, product managers, and business stakeholders to translate data requirements into production-grade solutionsDevelops secure high-quality production code, and reviews and debugs code written by othersIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesAdds to team culture of diversity, opportunity, inclusion, and respect.Required qualifications, capabilities, and skillsFormal training or certification on software engineering concepts and 9+ years of applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityDemonstrated professional experience focused on software engineering or data platform developmentAdvanced in one or more programming languages(s); Python, Java and SqlHands-on experience with distributed data processing frameworks such as Apache Spark and FlinkSolid understanding of data modeling techniques (star schema, snowflake) and query optimizationExperience designing and operating data pipelines on Databricks using orchestration tools such as Apache AirflowProficiency with cloud data services (AWS S3, Glue, Redshift, Athena, EMR, Lake Formation, or equivalent)Experience engineering production-grade data platforms on Kubernetes with open catalog integration (e.g., Apache Iceberg, Unity Catalog, OpenMetadata) for scalable data discovery, lineage, and governance.Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.","datePosted":"2026-08-01T10:06:57.801Z","dateModified":"2026-08-01T10:06:57.801Z","hiringOrganization":{"@type":"Organization","name":"Maes Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Dallas","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"982f47cdae934db17d42d95a"},"url":"https://jobsearcher.com/jobs/982f47cdae934db17d42d95a"}}