{"schemaVersion":"jobsearcher.job.v1","id":"81297a32235bc059f20a3178","url":"https://jobsearcher.com/jobs/81297a32235bc059f20a3178","canonicalUrl":"https://jobsearcher.com/jobs/81297a32235bc059f20a3178","title":"Data Engineering Supervisor","description":"Data Engineering SupervisorBeusa The Woodlands Corporate Office - The Woodlands, TX 77380\r\nOverview\r\nLevel: Experienced\r\nPosition Type: Full Time\r\nJob Shift: Day\r\nEducation Level: 4 Year Degree\r\nTravel Percentage: up to 10%\r\nDescription\r\nEngineering Supervisor - Data & Applications\r\nDepartment: Data Technology\r\nJob Status: Full-Time\r\nFLSA Status: Salary - Exempt\r\nReports To: Data Governance & Delivery Manager\r\nLocation: The Woodlands, TX\r\nAmount of Travel Required: Less than 5%\r\nWork Schedule: Monday - Friday, 8 a.m. 5 p.m.\r\nPositions Supervised: n/a\r\nAIP: Level 6\r\nPosition Summary:\r\nThe Data Engineering Supervisor is a hands-on player-coach responsible for leading a team of data engineers to deliver high-quality, maintainable data solutions on our Azure Databricks-centered data platform. This role is accountable for day-to-day team execution, sprint planning, workload management, and delivery quality across ingestion, transformation, and data product development.\r\nThe Data Engineering Supervisor does not own platform architecture or technical standards. Instead, they execute within the patterns and guardrails defined by the Principal ArchitectData Platforms and within the governance and delivery framework led by the Data Governance & Delivery Manager. Success in this role means turning architectural designs and delivery plans into robust, repeatable implementations, developing the team's skills, and ensuring predictable delivery against business and analytics needs.\r\nEssential Functions:\r\nTeam Leadership & Delivery Management:\r\nLead, coach, and develop a team of data engineers responsible for ingestion, transformation, and data product development.\r\nPartner closely with the Data Governance & Delivery Manager on sprint planning, backlog grooming, and aligning the team's work to overall delivery priorities and timelines.\r\nManage task assignment and day-to-day execution for the Data Engineering team, escalating delivery risks and capacity constraints to the Data Governance & Delivery Manager promptly.\r\nEnsure work is estimated, prioritized, and delivered on time and with high quality, in alignment with business priorities and data product roadmaps.\r\nProvide regular status updates and delivery risk visibility to the Data Governance & Delivery Manager and relevant stakeholders.\r\nExecution of Data Platform Designs:\r\nTranslate solution designs, patterns, and technical standards from the Principal Architect Data Platforms into executable work items and implementation plans.\r\nEnsure the team adheres to approved architectures, coding standards, data modeling patterns, and security/compliance requirements.\r\nEnforce best practices in code quality, testing, deployment, observability, and documentation for all data engineering work.\r\nData Products & Analytics Support:\r\nPartner with BI/Analytics, AI/ML, and business stakeholders to understand data requirements and translate them into engineering tasks, coordinating prioritization with the Data Governance & Delivery Manager.\r\nEnsure data pipelines and models are built to reliably support downstream consumption (dashboards, self-service analytics, AI/ML workloads).\r\nSupport incident response and root-cause analysis for data quality, performance, or reliability issues affecting data products, coordinating communication and remediation plans with the Data Governance & Delivery Manager.\r\nPeople Management & Growth:\r\nConduct regular 1:1s, performance feedback, and career development conversations with data engineering team members.\r\nIdentify skills gaps and training needs; champion continuous improvement in Databricks, Spark, SQL, and modern data engineering practices.\r\nFoster a culture of ownership, accountability, and collaboration within the team.\r\nGovernance, Compliance, and Standards Enforcement:\r\nEnsure the team's work complies with data governance policies, access controls, and security/privacy requirements.\r\nMonitor adherence to data quality standards and operational SLAs, escalating risks or systemic issues to Data Governance & Delivery Manager and Principal Data Architect as needed.\r\nProvide practical feedback to the Data Governance & Delivery Manager and the Principal Data Architect on where standards or patterns need refinement based on real-world usage.\r\nContinuous Improvement:\r\nContinuously seek opportunities to improve data engineering practices, team workflows, delivery methodologies, and stakeholder communication, and provide feedback to the Data Governance & Delivery Manager on how governance processes are working in practice.\r\nStay informed on industry best practices in data engineering\r\nPerform other related duties as assigned to assist with successful operations and business continuity.\r\nQualifications\r\nPosition Requirements:\r\nSuccessfully passes all applicable general pre-employment testing including but not limited to: background check, pre-employment drug screening, pre-employment fit tests, pre-employment aptitude and/or competency assessment(s).\r\nProficiency in the spoken English language.\r\nPosition requires daily in-person, predictable attendance.\r\nValid U.S. Driver's License required. Employment is contingent upon meeting company driving standards, including an acceptable Motor Vehicle Record (MVR) in accordance with Company policy.\r\nEducation/Experience Level:\r\nBachelor's degree in Engineering, Information Systems, Computer Science, or a related field, or equivalent practical experience. An equivalent combination of education, specialized training, and relevant professional experience may be considered in lieu of a formal degree.\r\n5+ years of professional experience in data engineering or software engineering with a strong data focus.\r\n3+ years of experience managing data engineering or BI teams.\r\n1+ years of experience in a team lead, senior engineer, or supervisor role (formal or informal), with demonstrated coaching and delegation.\r\nHands-on experience with:\r\nCloud-based data platforms (preferably Azure).\r\nDatabricks, Spark, SQL, and data pipeline orchestration.\r\nBuilding and maintaining production data pipelines and data models.\r\nDemonstrated ability to plan and manage team workloads, align delivery to priorities, and communicate status and risks clearly.\r\nOil & Gas industry experience is a plus.\r\nQualifications, Skills, Competencies, and Abilities:\r\nPreferred Qualifications:\r\nExperience working on an Azure Databricks-centered modern data platform.\r\nFamiliarity with data modeling techniques (e.g., dimensional modeling, data vault) and BI/analytics consumption patterns.\r\nExperience working in a matrixed environment with product, BI/analytics, and architecture stakeholders.\r\nProven ability to improve engineering practices (code review, CI/CD, testing, observability).\r\nData Platform & Delivery Expertise:\r\nStrong understanding of modern data engineering concepts, including ELT/ETL, data modeling, and data pipeline operations.\r\nExperience implementing solutions within an established data platform architecture and standards framework.\r\nKnowledge of data quality, metadata, and lineage concepts and how they are operationalized in pipelines and models.\r\nAbility to collaborate with technical architects and engineering leaders, recognizing that final technical design and platform decisions are owned by the Principal ArchitectData Platforms and Principal ArchitectApplications Engineering, while delivery planning and governance are led by the Data Governance & Delivery Manager.\r\nBusiness & Communication Skills:\r\nExcellent verbal and written communication skills, with the ability to articulate complex data concepts to both technical and non-technical audiences, including executives.\r\nStrong stakeholder management skills, with the ability to build trust and maintain alignment across BI/Analytics, AI/ML, IT, and business partners.\r\nProven ability to collaborate effectively with cross-functional teams (Architecture, AI/ML, IT, Security, Business).\r\nAbility to translate business needs into clear, prioritized delivery plans for the Data Engineering team in partnership with the Data Governance & Delivery Manager.\r\nProblem Solving & Analytical Skills:\r\nStrong analytical and problem-solving abilities, particularly in identifying and resolving data-related issues and delivery bottlenecks.\r\nAbility to make data-driven decisions and recommendations.\r\nCuriosity & Growth Mindset:","company":"Evolution Well Services Operating L","rawCompany":"evolution well services operating l","city":"Shenandoah","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:18:33.825Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"11-3021.00","title":"Computer and Information Systems Managers","slug":"computer-and-information-systems-managers"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"}],"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 Engineering Supervisor","description":"Data Engineering SupervisorBeusa The Woodlands Corporate Office - The Woodlands, TX 77380\r\nOverview\r\nLevel: Experienced\r\nPosition Type: Full Time\r\nJob Shift: Day\r\nEducation Level: 4 Year Degree\r\nTravel Percentage: up to 10%\r\nDescription\r\nEngineering Supervisor - Data & Applications\r\nDepartment: Data Technology\r\nJob Status: Full-Time\r\nFLSA Status: Salary - Exempt\r\nReports To: Data Governance & Delivery Manager\r\nLocation: The Woodlands, TX\r\nAmount of Travel Required: Less than 5%\r\nWork Schedule: Monday - Friday, 8 a.m. 5 p.m.\r\nPositions Supervised: n/a\r\nAIP: Level 6\r\nPosition Summary:\r\nThe Data Engineering Supervisor is a hands-on player-coach responsible for leading a team of data engineers to deliver high-quality, maintainable data solutions on our Azure Databricks-centered data platform. This role is accountable for day-to-day team execution, sprint planning, workload management, and delivery quality across ingestion, transformation, and data product development.\r\nThe Data Engineering Supervisor does not own platform architecture or technical standards. Instead, they execute within the patterns and guardrails defined by the Principal ArchitectData Platforms and within the governance and delivery framework led by the Data Governance & Delivery Manager. Success in this role means turning architectural designs and delivery plans into robust, repeatable implementations, developing the team's skills, and ensuring predictable delivery against business and analytics needs.\r\nEssential Functions:\r\nTeam Leadership & Delivery Management:\r\nLead, coach, and develop a team of data engineers responsible for ingestion, transformation, and data product development.\r\nPartner closely with the Data Governance & Delivery Manager on sprint planning, backlog grooming, and aligning the team's work to overall delivery priorities and timelines.\r\nManage task assignment and day-to-day execution for the Data Engineering team, escalating delivery risks and capacity constraints to the Data Governance & Delivery Manager promptly.\r\nEnsure work is estimated, prioritized, and delivered on time and with high quality, in alignment with business priorities and data product roadmaps.\r\nProvide regular status updates and delivery risk visibility to the Data Governance & Delivery Manager and relevant stakeholders.\r\nExecution of Data Platform Designs:\r\nTranslate solution designs, patterns, and technical standards from the Principal Architect Data Platforms into executable work items and implementation plans.\r\nEnsure the team adheres to approved architectures, coding standards, data modeling patterns, and security/compliance requirements.\r\nEnforce best practices in code quality, testing, deployment, observability, and documentation for all data engineering work.\r\nData Products & Analytics Support:\r\nPartner with BI/Analytics, AI/ML, and business stakeholders to understand data requirements and translate them into engineering tasks, coordinating prioritization with the Data Governance & Delivery Manager.\r\nEnsure data pipelines and models are built to reliably support downstream consumption (dashboards, self-service analytics, AI/ML workloads).\r\nSupport incident response and root-cause analysis for data quality, performance, or reliability issues affecting data products, coordinating communication and remediation plans with the Data Governance & Delivery Manager.\r\nPeople Management & Growth:\r\nConduct regular 1:1s, performance feedback, and career development conversations with data engineering team members.\r\nIdentify skills gaps and training needs; champion continuous improvement in Databricks, Spark, SQL, and modern data engineering practices.\r\nFoster a culture of ownership, accountability, and collaboration within the team.\r\nGovernance, Compliance, and Standards Enforcement:\r\nEnsure the team's work complies with data governance policies, access controls, and security/privacy requirements.\r\nMonitor adherence to data quality standards and operational SLAs, escalating risks or systemic issues to Data Governance & Delivery Manager and Principal Data Architect as needed.\r\nProvide practical feedback to the Data Governance & Delivery Manager and the Principal Data Architect on where standards or patterns need refinement based on real-world usage.\r\nContinuous Improvement:\r\nContinuously seek opportunities to improve data engineering practices, team workflows, delivery methodologies, and stakeholder communication, and provide feedback to the Data Governance & Delivery Manager on how governance processes are working in practice.\r\nStay informed on industry best practices in data engineering\r\nPerform other related duties as assigned to assist with successful operations and business continuity.\r\nQualifications\r\nPosition Requirements:\r\nSuccessfully passes all applicable general pre-employment testing including but not limited to: background check, pre-employment drug screening, pre-employment fit tests, pre-employment aptitude and/or competency assessment(s).\r\nProficiency in the spoken English language.\r\nPosition requires daily in-person, predictable attendance.\r\nValid U.S. Driver's License required. Employment is contingent upon meeting company driving standards, including an acceptable Motor Vehicle Record (MVR) in accordance with Company policy.\r\nEducation/Experience Level:\r\nBachelor's degree in Engineering, Information Systems, Computer Science, or a related field, or equivalent practical experience. An equivalent combination of education, specialized training, and relevant professional experience may be considered in lieu of a formal degree.\r\n5+ years of professional experience in data engineering or software engineering with a strong data focus.\r\n3+ years of experience managing data engineering or BI teams.\r\n1+ years of experience in a team lead, senior engineer, or supervisor role (formal or informal), with demonstrated coaching and delegation.\r\nHands-on experience with:\r\nCloud-based data platforms (preferably Azure).\r\nDatabricks, Spark, SQL, and data pipeline orchestration.\r\nBuilding and maintaining production data pipelines and data models.\r\nDemonstrated ability to plan and manage team workloads, align delivery to priorities, and communicate status and risks clearly.\r\nOil & Gas industry experience is a plus.\r\nQualifications, Skills, Competencies, and Abilities:\r\nPreferred Qualifications:\r\nExperience working on an Azure Databricks-centered modern data platform.\r\nFamiliarity with data modeling techniques (e.g., dimensional modeling, data vault) and BI/analytics consumption patterns.\r\nExperience working in a matrixed environment with product, BI/analytics, and architecture stakeholders.\r\nProven ability to improve engineering practices (code review, CI/CD, testing, observability).\r\nData Platform & Delivery Expertise:\r\nStrong understanding of modern data engineering concepts, including ELT/ETL, data modeling, and data pipeline operations.\r\nExperience implementing solutions within an established data platform architecture and standards framework.\r\nKnowledge of data quality, metadata, and lineage concepts and how they are operationalized in pipelines and models.\r\nAbility to collaborate with technical architects and engineering leaders, recognizing that final technical design and platform decisions are owned by the Principal ArchitectData Platforms and Principal ArchitectApplications Engineering, while delivery planning and governance are led by the Data Governance & Delivery Manager.\r\nBusiness & Communication Skills:\r\nExcellent verbal and written communication skills, with the ability to articulate complex data concepts to both technical and non-technical audiences, including executives.\r\nStrong stakeholder management skills, with the ability to build trust and maintain alignment across BI/Analytics, AI/ML, IT, and business partners.\r\nProven ability to collaborate effectively with cross-functional teams (Architecture, AI/ML, IT, Security, Business).\r\nAbility to translate business needs into clear, prioritized delivery plans for the Data Engineering team in partnership with the Data Governance & Delivery Manager.\r\nProblem Solving & Analytical Skills:\r\nStrong analytical and problem-solving abilities, particularly in identifying and resolving data-related issues and delivery bottlenecks.\r\nAbility to make data-driven decisions and recommendations.\r\nCuriosity & Growth Mindset:","datePosted":"2026-04-09T08:18:33.825Z","dateModified":"2026-04-09T08:18:33.825Z","hiringOrganization":{"@type":"Organization","name":"Evolution Well Services Operating L","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Shenandoah","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"81297a32235bc059f20a3178"},"url":"https://jobsearcher.com/jobs/81297a32235bc059f20a3178"}}