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DataOS Data EngineerHewlett Packard Enterprise • Vancouver, Washington, United States
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DataOS Data Engineer

Hewlett Packard Enterprise
  • US
    Vancouver, Washington, United States
  • US
    Vancouver, Washington, United States
Jetzt Bewerben

Über

DataOS Data Engineer Description
DataOS Data Engineer collaborating on cutting edge advances in scalable solutions for data ingestion, manipulation and end-to-end integration of data building blocks to support business driven data products. Applies developed subject matter knowledge to solve common and complex business issues within established guidelines and recommends appropriate alternatives. Works on problems of diverse complexity and scope. May act as a team or project coach providing direction to team activities and facilitates information validation and team decision making process. Exercises judgment within generally defined policies and practices to identify and select a solution. Ability to handle most unique situations. May seek advice in order to support complex business issues. Responsibilities
Design and establish secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data product pipelines, repositories or models for structured/unstructured data. Focus on developing shareable libraries that reduce development time and maintenance. Analyze design and determine coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution. Write and execute complete testing plans, protocols, and documentation for assigned portion of data system or component; identify and debug, and create solutions for issues with code and integration into data system architecture. Lead a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component. Collaborate and communicate with project team regarding project progress and issue resolution. Support co-development processes and tools to promote common approaches to solve complex problems. Represent the data engineering team for all phases of larger and more complex development projects. Provide guidance and mentoring to less experienced staff members. Strong technical leadership is required. Knowledge & Skills
Using data engineering tools, languages (Python is a must. DBT is a plus), frameworks to mine, cleanse and explore large data sets. Fluent in SQL and cloud based data systems. Relational data modeling. Fluent in complex, distributed and massively parallel cloud systems (AWS, GCP, Azure). Strong analytical and problem‑solving skills with ability to represent complex algorithms in software. Design data systems/solutions to manage complex data that are highly scalable and performant. Performance tune Spark code. Strong understanding of database technologies and management systems. Strong understanding of cloud‑based systems/services. Differentiate benefits for big data lake house vs warehouse. Experience with workflow orchestration tools (Airflow, Jenkins). Strong notebooks environment experience (Jupyter, Databricks). Experience collecting requirements from partners and choosing the right technologies to meet end‑to‑end data flow requirements that are required (data size, delivery times: hourly, daily, monthly or real‑time approaches). Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools. Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at management levels. Scope & Impact
Collaborate with peers, junior engineers, data scientists and project team. Typically interact with high‑level individual contributors, managers and program teams. Lead a project requiring data engineering solutions development. Education & Experience
Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, Engineering or equivalent. Typically 4‑6 years’ experience. 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. Salary
The pay range for this role is $105,050 to $161,800 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job‑related knowledge, skills, and experience. Benefits
HP offers a comprehensive benefits package for this position, including health insurance, dental insurance, vision insurance, long‑term/short‑term disability insurance, employee assistance program, flexible spending account, life insurance, generous time off policies (4‑12 weeks fully paid parental leave based on tenure, 11 paid holidays), additional flexible paid vacation and sick leave (US benefits overview). Job
Data & Information Technology. 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. The information obtained will be kept in strict confidence. For more information, review HP’s EEO Policy or read about your rights as an applicant under the law "Know Your Rights: Workplace Discrimination is Illegal".
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  • Vancouver, Washington, United States

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  • English
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