**MUST BE A US CITIZEN OR GREEN CARD HOLDER** Hybrid: Mondays & Fridays - RemoteTuesdays, Wednesdays & Thursdays - On-site The Data Engineer will be responsible for supporting the design, development, and maintenance of data pipelines and data processing systems. They will utilize technologies such as Azure, Spark SQL, SQL Server, Azure Data Factory, Azure Databricks, Azure DevOps, Data build Tool (DBT), Git, Power BI, Azure Synapse Analytics, and Azure Databricks. Working under the guidance of senior data engineers, they will play a crucial role in ensuring the availability, reliability, and scalability of the data infrastructure and in supporting the organizational data-products within the company.

Data Engineering - Manager Description - Job Summary This role is responsible for ensuring the integrity of the underlying data and the consistent delivery of its products and services to internal and external customers. The role leads a team of data engineers that extract data for analysis and interpretation by other program teams including ad hoc analysis for customers and internal departments. The role serves as a consultant to other analytics functional areas to review, analyze and validate data to ensure accurate and structured data is provided that can be used to create dashboards, reports for making business decisions. Responsibilities <ul> <li>Develops project deliverables including a project plan, resource plan, communication plan, and project charter. </li><li>Provides data support for analytics product development and projects including data mining, statistical analysis and reporting. </li><li>Serves as a consultant to external customers or internal cross-functional teams to document/review, analyze and validate data used for both internal and external informatics projects. </li><li>Creates appropriate project concept documents, including data selection criteria, aggregation requirements, measurement definitions and appropriate analyses based on customer business requirements. </li><li>Participates in process analysis, team building, leading and motivating, performance management and conflict management activities. </li><li>Manages the work, sets priorities and conveys the appropriate sense of urgency and executes strategic/tactical plans efficiently and effectively. </li><li>Develops knowledge base to support strategic initiatives post close out. </li><li>Develops robust business cases to support and prioritize opportunities. </li><li>Effectively communicates clear and concise recommendations regarding data engineering solutions to leadership and other teams' end users. </li><li>Provides leadership experience in planning and executing a portfolio of initiatives that build analytics capabilities to serve organizational strategic goals. </li></ul>Education & Experience Recommended <ul> <li>Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence. </li><li>Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in data analytics, data engineering, data modeling, or a related field. </li><li>Expertise in SAP HANA BW, Databricks, and Azure technologies </li><li>Experience with financial data systems and processes </li></ul>Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills <ul> <li>Strong communication and interpersonal skills </li><li>Ability to manage multiple projects and priorities in a fast-paced environment </li><li>Agile Methodology </li><li>Big Data </li><li>Data Analysis, Data Engineering, Data Modeling </li><li>Data Pipelines, Data Warehousing, Extract Transform Load (ETL) </li><li>Microsoft Azure </li><li>Python (Programming Language) </li><li>Scala (Programming Language) </li><li>Scalability </li><li>SQL (Programming Language) </li></ul>Cross-Org Skills <ul> <li>Customer Centricity </li><li>Prioritization </li><li>Resilience </li><li>Team Management </li><li>Strategic Thinking </li></ul> Impact & Scope Impacts function and leads projects requiring understanding of multiple disciplines or areas of HP. Complexity Uses managerial concepts and company objectives to resolve issues in creative and effective ways. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

An Oil & Gas customer of Insight Global is looking for a Master Data Engineer to join their team full-time to sit in The Woodlands, TX, on a hybrid schedule 3 days a week and as needed with travel up to 5% within the Texas area. The IT division's primary goal over the next few years is focused on their Data Transformation efforts that will support all of the company's domains for midstream assets. This person will be designing, developing, and deploying innovative data and analytical solutions to enhance current operations and shape the future of the organization. The salary range for this role is dependent on level of experience with a flexible range of $120,000-$200,000 annually. Responsibilities: Collaborate with data stewards to design, develop and prioritize capabilities to accurately capture high quality data. Maintain and improve existing master data management systems while evaluating and implementing future improvements and solutions. Review integration complexities of current and future systems and understand the effects of combining data from different systems. Design, build, and manage data pipelines to ingest, transform, and distribute master data between enterprise systems and Azure destinations. Write complex system queries into operational systems to extract datasets that meet master data source ingestion requirements. Employ programming languages like Java and Python in relation to enhancing master data applications. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience Previous experience in administration and design of Master Data applications (ex. SAP Master Data Governance, Profisee, Tibco EBX) 8+ years of experience as a Data Engineer and/or Software Developer with proficiency in Java In-depth knowledge with Azure cloud services (ex. ADF, Onelake, PowerBI, PowerQuery), relational database design principles, data warehousing and data modeling, performance tuning, and optimization Proficiency in T-SQL, ETL/ELT processes/tooling, data modeling, and database design principles High level knowledge of Microsoft Purview Excellent communication skills with the ability to interact with developers and business usupporting requirements gathering Nice to Have Skills & Experience Oil and Gas/Midstream industry experience Heavy Data Transformation experience Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Data Engineering - Manager Description - Job Summary This role is responsible for ensuring the integrity of the underlying data and the consistent delivery of its products and services to internal and external customers. The role leads a team of data engineers that extract data for analysis and interpretation by other program teams including ad hoc analysis for customers and internal departments. The role serves as a consultant to other analytics functional areas to review, analyze and validate data to ensure accurate and structured data is provided that can be used to create dashboards, reports for making business decisions. Responsibilities <ul><li>Develops project deliverables including a project plan, resource plan, communication plan, and project charter.</li><li>Provides data support for analytics product development and projects including data mining, statistical analysis and reporting.</li><li>Serves as a consultant to external customers or internal cross-functional teams to document/review, analyze and validate data used for both internal and external informatics projects.</li><li>Creates appropriate project concept documents, including data selection criteria, aggregation requirements, measurement definitions and appropriate analyses based on customer business requirements.</li><li>Participates in process analysis, team building, leading and motivating, performance management and conflict management activities.</li><li>Manages the work, sets priorities and conveys the appropriate sense of urgency and executes strategic/tactical plans efficiently and effectively.</li><li>Develops knowledge base to support strategic initiatives post close out.</li><li>Develops robust business cases to support and prioritize opportunities.</li><li>Effectively communicates clear and concise recommendations regarding data engineering solutions to leadership and other teams' end users.</li><li>Provides leadership experience in planning and executing a portfolio of initiatives that build analytics capabilities to serve organizational strategic goals.</li></ul> Education & Experience Recommended <ul><li>Four-year or Graduate Degree in Computer Science, Information Technology, Software Engineering, Statistics/ Mathematics, or any other related discipline or commensurate work experience or demonstrated competence.</li><li>Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in data analytics, data engineering, data modeling, or a related field.</li><li>Expertise in SAP HANA BW, Databricks, and Azure technologies</li><li>Experience with financial data systems and processes</li></ul> Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills <ul><li>Strong communication and interpersonal skills</li><li>Ability to manage multiple projects and priorities in a fast-paced environment</li><li>Agile Methodology</li><li>Big Data</li><li>Data Analysis, Data Engineering, Data Modeling</li><li>Data Pipelines, Data Warehousing, Extract Transform Load (ETL)</li><li>Microsoft Azure</li><li>Python (Programming Language)</li><li>Scala (Programming Language)</li><li>Scalability</li><li>SQL (Programming Language)</li></ul> Cross-Org Skills <ul><li>Customer Centricity</li><li>Prioritization</li><li>Resilience</li><li>Team Management</li><li>Strategic Thinking</li></ul> Impact & Scope Impacts function and leads projects requiring understanding of multiple disciplines or areas of HP. Complexity Uses managerial concepts and company objectives to resolve issues in creative and effective ways. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement

Data Engineer Jobs in Spring, TX

Data Engineering Manager
November 9, 2024

Azure Data Engineer
November 6, 2024

Data Engineering Manager
November 3, 2024

Master Data Engineer
November 1, 2024

Data Engineering Manager
October 30, 2024

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Data Engineer Jobs in Spring, TX

Data Engineering ManagerNovember 9, 2024

Azure Data EngineerNovember 6, 2024

Data Engineering ManagerNovember 3, 2024

Master Data EngineerNovember 1, 2024

Data Engineering ManagerOctober 30, 2024