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# Data Solutions - Data Engineer

- **Company:** Hewlett-Packard Development Company, L.P.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $130,700.0 - $205,200.0
- **Contract:** Permanent contract
- **Skills:** 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), 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
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/5eeeb637-cbd9-4889-a099-ad623b48f5d1

## About the Role

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)

## 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.


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