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Data Solutions - Data Engineer
Description -
Job Summary
The Data Solutions - Data Engineer is responsible for data collection procedures, including accurate and relevant data for machine learning models, extracting and analyzing data from the primary and secondary database. The role ensures data integrity and compliance by performing data cleansing and data validations. The role performs root-cause analysis and recommends or executes corrective actions when data related system problems occur. The role provides quantitative rationale for executing customer and product strategies and tactics. The role applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert.
Responsibilities
• Leads one or more project teams of other data engineers for all stages of design and development for complex, secure and performant data solutions and models, including design, analysis, coding, testing, and integration of structured/unstructured data.
• Reviews and evaluates designs and project activities for compliance with architecture, security and quality guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
• Provides domain-specific expertise and overall data systems leadership and perspective to cross-organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the big data space.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Represents the data engineering team for all phases of larger and more-complex development projects.
• Assists in the coaching and training of business analytics solution users to enhance business decision-making capability.
• Ensures and maintains a high level of data integrity by using tools to monitor and mass update data changes.
• Builds and manages relationships throughout the organization.
• Provides guidance and mentoring to less experienced staff members.
Education & Experience Recommended
• 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.
• Typically has 7-10 years of work experience, preferably in data analytics, data engineering, data modeling, or a related field.
Preferred Certifications
• Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
• Agile Methodology
• Amazon Web Services
• Apache Hadoop
• Apache Kafka
• Apache Spark
• Big Data
• Computer Science
• Data Analysis
• Data Engineering
• Data Modeling
• Data Pipelines
• Data Warehousing
• Extract Transform Load (ETL)
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• Python (Programming Language)
• Scala (Programming Language)
• Scalability
• SQL (Programming Language)
Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity
Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
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 $130,700 to $205,200 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, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
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. This information is provided voluntarily. 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 here: "Know Your Rights: Workplace Discrimination is Illegal"