Overview Hayward Holdings Inc. (NYSE "HAYW") is the largest manufacturer of residential swimming pool equipment in the world, with a significant presence in the commercial pool market that is continuously growing. Hayward designs, manufactures, and markets a full line of residential and commercial pool and spa equipment including pumps, filters, heating, cleaners, salt chlorinators, automation, lighting, safety, flow control and energy solutions at our company owned facilities. Headquartered in Charlotte, North Carolina, Hayward also has facilities in Tennessee, Arizona, and Rhode Island as well as Canada, Spain, France, Australia, and China. The is role is remote and can be based in the US, Canada, France, or Spain. The Data Engineer will be part of the Global Data Analytics Center of Excellence and will play a pivotal role in helping determine strategy and direction for the Analytics team and execute the strategy. Building strong working relationships across IT technical, security, development, and business analyst teams is essential. The Data Engineer will assist with the architecting and management of the data warehouse, ensuring data quality, integrity, and efficiency. Additionally, the Data Engineer will design and implement processes for accurate and timely data ingestion. Responsibilities Staying proactive with data technologies and trends, the Data Engineer will implement innovative solutions while maintaining deep technical knowledge to support current and future data engineering needs. The Data Engineer will engage with cross functional stakeholders and developers, ensuring that best practices are defined and followed throughout the landscape. Data Pipeline Development: Design, build, and maintain scalable and robust data pipelines to support data science projects and business analytics needs. Ensure data is readily available and accessible for various stakeholders across the enterprise. Experience working in cloud environments such as AWS or Azure, and the ability to create efficient and effective data solutions in a developing and evolving infrastructure. Data Management and Integration: Integrate data from multiple sources, ensuring data quality, consistency, and reliability. Implement data governance and best practices to maintain the integrity and security of data. Collaboration and Stakeholder Engagement: Work closely with stakeholders from finance, IT, marketing, supply chain, commercial, and operations to understand their data needs and deliver solutions. Facilitate cross-functional collaborations to drive data-driven decision-making. Qualifications Capabilities/Qualifications: Proven experience (5 years) in data engineering, including building and managing data pipelines, data warehousing, and ensuring data quality and integrity. Expertise in cloud environments such as AWS or Azure, with hands-on experience in building and deploying scalable data solutions. Proficiency in SQL and experience with data warehousing solutions like Snowflake, Redshift, or BigQuery. Experience with ETL tools and processes, including designing, implementing, and maintaining efficient and scalable ETL workflows using tools such as Apache Airflow, Talend, or Informatica. Experience working with large amounts of data and extracting insights from complex datasets; demonstrated track record of driving impact through data-driven decision-making. Strong problem-solving skills and the ability to innovate in ambiguous situations. Excellent communication and collaboration skills to effectively convey complex ideas to non-technical stakeholders. Passion for continuous learning and staying updated with the latest advancements in data engineering and technology. Prior experience in supply chain, operations, or manufacturing domains preferred. Strong analytical skills with a proven track record in working with large amount of data from different sources and providing meaningful insights. Highly motivated, self-driven, curious, and creative; ability to manage complexity and ambiguity. Strong communication and collaboration skills, able to work effectively with cross-functional teams and independently. Education / Experience: 4-year college degree in Computer Science, Statistics, Mathematics, Statistics, Economics, Engineering, or another relevant field. MBA or MS preferred. LI-EP1

Job Title : Sr. Data Engineer - Hybrid ( Local Preferred ) Location: Charlotte, NC (hybrid in office) Job Type : Hybrid Duration : 12 months Opening : 1 Opening Make sure to Vet the candidate well before submitting Summary :- About the Role: Project is Supply chain network planning effort to determine the optimized channel. Skill Requirements: Mandatory skills: Hadoop, Hive, hbase, etl, spark and Talend Secondary skills: Java Job Description: Maintain and migrate ETL Talend jobs into Spark, Maintain Hadoop Jobs, and Redesign the data streaming from legacy using Java. Qualifications Minimum Qualifications Bachelor's Degree in Engineering, Computer Science, CIS, or related field (or equivalent work experience in a related field) 7-8 years of experience in Data, BI or Platform Engineering, Data Warehousing/ETL, or Software Engineering 4 years of experience working on project(s) involving the implementation of solutions applying development life cycles (SDLC) Skills & Abilities Good to have : Experience with cloud managed service for Client/Ops tech stack like Vertex AI, Client OPS etc Well versed with feature engineering tools / techniques like PCA , featureTools, Pyfeat etc. Well versed with Model development / techniques to use collaborative filtering or look a like models. Strong communication and data presentation skills; ability to communicate with data-driven stories Ability to quickly adapt to new technologies, tools and techniques Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines Ability to work with technical and non-technical team members Preferred Qualifications Master's Degree in Computer Science, CIS, or related field 5 years of IT experience developing and implementing business systems within an organization 5 years of experience working with defect or incident tracking software 5 years of experience writing technical documentation in a software development environment 3 years of experience working with an IT Infrastructure Library (ITIL) framework 3 years of experience leading teams, with or without direct reports 5 years of experience working with source code control systems Experience working with Continuous Integration/Continuous Deployment tools 5 years of experience in systems analysis, including defining technical requirements and performing high level design for complex solutions Data Engineering 7 years of experience in Hadoop or any Cloud Bigdata components (specific to the Data Engineering role) Expertise in Java/Scala/Python, SQL, Scripting, Teradata, Hadoop (Sqoop, Hive, Pig, Map Reduce), Spark (Spark Streaming, MLib), Kafka or equivalent Cloud Bigdata components (specific to the Data Engineering role)

Job Title: Senior Data Engineer with PySpark Location: Mt Laurel, NJ / Charlotte, NC - (Hybrid) Duration: Long term/Fulltime Job description 10 Years Candidate Primary Tech skills - Databricks, Pyspark, Azure SQL, ADF Secondary Tech skills - Azure, SAS, Synapse, Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling Hands-on experience in Pyspark is a must. Experience working with structured and unstructured data. Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements. Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server Experience with Orchestration tools and GitHub Experience to own end-to-end development, including coding, testing, debugging and deployment. Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill Need to be an individual performer as well as a Lead. Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

NC FAST Senior Data Engineer (743008) Research Triangle Park, Durham NC 27709 12 months The Department of Health and Human Services (DHHS) requires the assistance of contract resources to serve as Senior Data Engineer. The purpose of this position is to analyze, map, build, test, and maintain data extraction, conversion and migration from databases like Oracle and DB2 to target databases including Data Warehouse, Data lake on various cloud or on-prem database platforms. One of the primaries focuses of this position is to lead data analysis, mapping, needed transformation and extraction of data from Oracle and DB2 databases to migrate to Salesforce platform for Child welfare program. The work involves collaborating with various internal and vendor stakeholders to understand business requirements and translating them into efficient and scalable technical solutions for the Child Welfare program. The persons in this position will play a crucial role in designing, implementing, and optimizing data pipelines and ETL processes to support the extraction, transformation, and loading of data from various Child Welfare sources into Salesforce. This position will also support data archival for management of data growth, data sub-setting to extract criteria-based data and data de-identification to help provide needed data for application validation. The Senior data engineer will need excellent problem-solving skills and the ability to work independently as well as part of a team. The work involves understanding data, relationships among data objects, designing and developing ETL to support these data work streams. The work also involves monitoring and troubleshooting data pipelines/process to ensure data quality, completeness, integrity, and availability.

<h2>About Lumen</h2>Lumen connects the world. We are igniting business growth by connecting people, data and applications – quickly, securely, and effortlessly. Together, we are building a culture and company from the people up – committed to teamwork, trust and transparency. People power progress.Lumen’s commitment to workplace inclusion and employee support shines bright. We’ve made the Newsweek 2024 Greatest Workplaces for Diversity list and achieved a perfect score of 100 on the Human Rights Campaign Corporate Equality Index (CEI) for the fifth consecutive year. Plus, we’re the top employer in the communications and telecom industry, ranking 12th overall across all industries in The American Opportunity Index.We’re looking for top-tier talent and offer the flexibility you need to thrive and deliver lasting impact. Join us as we digitally connect the world and shape the future.<h2>The Role</h2>If you're a student eager to explore the exciting world of digital innovation, Lumen is the perfect place for you. Lumen offers a fully immersive, 10-week summer internship program. Our interns demonstrate curiosity, innovation, and a passion for advancing technology. We believe that empowering our people and helping them reach their full potential is essential for the long-term success of both Lumen and our customers.Program dates: May 30 – August 8, 2025.<h2>The Main Responsibilities</h2>Lumen’s Mass Markets organization is looking for a Data Engineer intern on our Applications Engineering team. The intern will be responsible for building machine learning models, developing data pipelines and creating innovating AI applications.Other responsibilities of intern will include:<ul><li>Supporting digital channel for mass markets customers </li><li>Research AI solutions to reduce cost and improve customer experience </li><li>Manage data pipelines</li></ul><h2>What We Look For in a Candidate</h2>Program eligibility is contingent on the candidate’s commitment of the entire 10-week program. No exceptions will be made.Required qualifications<ul><li>Enrolled at a 4-year accredited college or university, rising senior or graduate level education status at the start of the internship </li><li>Graduating August 2025 – May 2027 </li><li>Preferred fields include burt not limited to: – Computer Science, Business Analytics, Data Science, Information Systems. </li><li>Intern must be able to work 40 hours per week during the 10-week program (May 30 – August 8, 2025) </li><li>Proficiency and understanding of: </li><li>MS Office Suite – Excel and PowerPoint </li><li>Python expertise </li><li>Machine Learning frameworks ( TensorFlow, PyTorch, scikit-learn) models </li><li>Python libraries ( NumPy, Pandas, Matplotlib, Seaborn etc…) </li><li>Cloud platforms like GCP </li><li>React.Js </li><li>Node.Js </li></ul>Preferred qualifications<ul><li>Analytical Skills: Ability to analyze and interpret data to provide actionable insights </li><li>Experience with statistical analysis and data visualization tools is a plus. </li><li>Attention to detail and a proactive approach to learning and development. </li><li>Ability to translate technical information into non-technical terms </li><li>Strong problem-solving abilities to identify and resolve issues related to data accuracy, report performance, and user requirements </li><li>Eagerness to learn and adapt to new technologies and methodologies. </li><li>Strong organization skills </li><li>Ability to multitask while working in fast paced environment </li></ul><h2>Compensation</h2>Internship compensation ranges depend on each individual’s level of education, geographic location, and experience/qualifications aligned to the role.Hourly Based Pay Range: 
Min: $26.00/hour 
Max: $43.00/hour<h2>What to Expect Next</h2>After completion and submission of your application, you will be asked to participate in a virtual video interview. This on demand interview will be a way for Lumen to learn more about you and your experience as it aligns to the internship position. A separate email invitation will be sent to you (check your spam) within 6 hours of application. For continued consideration in the summer internship program, please ensure you complete the video interview within 5 business days of application.Application & Interview Timeline:<ul><li>October – First Round Interviews with top, qualified candidates</li><li>November - Interview panel with work team</li><li>December - All Summer 2025 offers will be extended by end of month</li></ul>Requisition #: 335207Background ScreeningIf you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our <a href="https://jobs.lumen.com/global/en/faq">FAQ page</a>. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis. 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.Equal Employment OpportunitiesWe are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, “protected statuses”). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.DisclaimerThe job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.<h4>Salary Range</h4>Salary Min:26Salary Max:43This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.This position is eligible for either short-term incentives or sales compensation. Director and VP positions also are eligible for long-term incentive. To learn more about our bonus structure, you can view additional information <a href="https://jobs.lumen.com/global/en/compensation-information">here.</a> We're able to answer any additional questions you may have as you move through the selection process.As part of our comprehensive benefits package, Lumen offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, emotional and financial wellbeing. You can learn more by clicking <a href="https://centurylinkbenefits.com">here.</a>Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.Note: For union-represented postings, wage rates and ranges are governed by applicable collective bargaining agreement provisions.Application Deadline 
10/31/2024

Data Engineer Jobs in Wilmington, NC

Senior Data Engineer
November 6, 2024

Sr Data Engineer Hybrid Local Preferred
November 6, 2024

Senior Data Engineer With Pyspark
November 4, 2024

Senior Data Engineer
November 1, 2024

Sr Data Engineer Hybrid Local Preferred
October 30, 2024

Senior Data Engineer
October 30, 2024

Intern Data Engineer Summer 2025
October 30, 2024

Lead Data Engineer
October 27, 2024

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Data Engineer Jobs in Wilmington, NC

Senior Data EngineerNovember 6, 2024

Sr Data Engineer Hybrid Local PreferredNovember 6, 2024

Senior Data Engineer With PysparkNovember 4, 2024

Senior Data EngineerNovember 1, 2024

Sr Data Engineer Hybrid Local PreferredOctober 30, 2024

Senior Data EngineerOctober 30, 2024

Intern Data Engineer Summer 2025October 30, 2024

Lead Data EngineerOctober 27, 2024