Data Solutions - Data Engineer

Hewlett-Packard Development Company, L.P.
United States
15 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$130,700.0 - $205,200.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Agile Methodology Amazon Web Services Data Analysis Microsoft Azure Big Data Databases Computer Literacy Data Cleansing Information Engineering Data Integrity Extract Transform Load (ETL)
+15 more
Data Systems Data Warehousing Apache Hadoop Python (Programming Language) Machine Learning Scala (Programming Language) Software Engineering SQL Databases Unstructured Data Apache Spark Information Technology Data Analytics Apache Kafka Data Pipelines Programming Languages

Job description

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., 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., 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.

Requirements

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)

Benefits & conditions

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., 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

2:56 min

Options for database machine learning integration architectures

Akmal Chaudhri Akmal Chaudhri · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all