Data Solutions - Data Engineer

Hewlett Packard Enterprise; Spring (TX); On-site; USD 130,700 - 205,200; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Long term/short term disability insurance

Employee assistance program

Flexible spending account

Life insurance

Paid parental leave

11 paid holidays

Flexible vacation and sick leave

Job summary

Hewlett Packard Enterprise in Spring, Texas is seeking a Data Solutions - Data Engineer responsible for data collection methods and ensuring data integrity for machine learning. The role requires leading project teams, mentoring less experienced staff, and developing data solutions.

Candidates should have a degree in a relevant field and typically possess 7-10 years of experience in related areas. Preferred skills include SQL, Python, and experience with big data technologies.

Qualifications

• Typically has 7-10 years of work experience in data analytics, data engineering, or a related field.
• Recommended certifications in programming languages like SQL and Python.
• Demonstrated ability in complex data engineering tasks.

Responsibilities

• Lead project teams of data engineers for designing and developing data solutions.
• Ensure data integrity and compliance through data cleansing and validations.
• Provide quantitative rationale for customer and product strategies.

Skills

Agile Methodology

Amazon Web Services

Apache Hadoop

Apache Kafka

Apache Spark

Data Analysis

Data Engineering

Data Modeling

Data Pipelines

SQL (Programming Language)

Education

Four-year or Graduate Degree in a relevant discipline

Tools

SQL

Python

Java

Scala

Microsoft Azure

Job description

## Data Solutions - Data EngineerApplylocations: Spring, Texas, United States of Americatime type: Full timeposted on: Posted Todayjob requisition id: 3164111Data 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.