Quality Data Engineer

HP; Houston (TX); On-site; USD 105,000 - 162,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Disability insurance

Employee assistance program

Flexible spending account

Life insurance

Generous time off policies

11 paid holidays

Flexible paid vacation and sick leave

Job summary

HP in Houston, TX is seeking a Quality Data Engineer to lead the data engineering team and architect enterprise data solutions. You will drive data lake/warehouse design, governance, and scalable pipelines supporting AI/ML initiatives and analytics across projects.

You will collaborate with data scientists and cross-functional teams to productionize models, ensure cost efficiency, and mentor junior staff while upholding security and governance standards.

Qualifications

• Bachelor’s or higher degree in a data/engineering field.
• 7–10 years of experience in analytics or data engineering.
• Strong knowledge of data architectures, data lakes and warehouses.

Responsibilities

• Data Architecture Strategy: design enterprise-wide blueprint for data storage, integration, access, and governance.
• Data Platform Leadership: manage platforms enabling downstream insights, data warehouses/lakes, and pipelines.
• Data Strategy & Transformation: lead enterprise data strategy, governance, and value realization.
• AI/ML Enablement & Industrialization: productionize ML/AI models and build scalable pipelines.
• Engineering Execution & Innovation: lead development of complex data pipelines and distributed systems.
• Governance, Security & Compliance: ensure governance and security standards across data lifecycle.
• Cross-Functional Leadership: influence executives and stakeholders on data strategy.
• Business Alignment: translate goals into platform capabilities and self-serve analytics.

Skills

Data Architecture

Data Modeling

Data Warehousing

ETL/ELT

Python

SQL

Machine Learning

Big Data

Cloud Platforms

Spark

Education

Bachelor’s or graduate degree in Computer Science / Information Systems / Engineering / Data Analytics

Tools

Apache Spark

SQL

Python

Azure

AWS

Job description

Quality Data Engineer Description - This role is responsible for leading the data engineering team supporting application projects and collaborating with cross‐functional teams to ensure integration of data engineering deliverables with project outcomes. The role contributes to solution development for complex deals and oversees the development and maintenance of intricate databases. The role takes charge of resolving critical database incidents, produces data models, and leads model conversion efforts. The role also provides expert guidance, exercises independent judgment, and fosters productive relationships while mentoring lower-level employees.

Responsibilities

• Data Architecture Strategy Design the enterprise‑wide blueprint for how data is stored, integrated, accessed, and governed
• Manage the technical platforms that enable downstream insights, solutions, etc Design PS Quality data warehouses / data lakes Determine architectural patterns (e.g., medallion architecture, data mesh, data fabric) Establish data standards and automated interoperability rules Data Architecture & Platform Leadership Designing data warehouses / data lakes that meets Quality Business Requirements Define and implement enterprise‑grade data architectures (batch, streaming, real‑time) for large‑scale structured and unstructured data. Design scalable, secure, and high‑performance data platforms supporting BI, advanced analytics, and AI/ML use cases. Establish data modeling standards, and reusable frameworks across the organization.
• Data Strategy & Transformation Lead enterprise data strategy, aligning data initiatives with business, AI, and digital transformation goals. Identify and prioritize high‑value analytics and AI opportunities leveraging telemetry, operational, and product data. Drive data monetization, standardization, and governance frameworks. Define roadmap for modern data stack adoption (cloud‑native, lakehouse, streaming, GenAI‑ready architectures).
• AI/ML Enablement & Industrialization Partner closely with Data Scientists to productionize ML/AI models into scalable systems. Build and optimize data pipelines, feature engineering frameworks, and MLOps workflows.
• Engineering Execution & Innovation Lead the design, development, and deployment of complex data pipelines and distributed systems. Drive adoption of new technologies (GenAI, agentic systems, streaming architectures, data mesh). Ensure solutions meet performance, reliability, and cost optimization goals.
• Governance, Security & Compliance Ensure adherence to data governance, privacy, security, and compliance standards in alignment with HP Cybersecurity and privacy guidlines Maintain master data management, access controls, audits, metadata, management, and data hierarchy Establish data quality frameworks, lineage, observability, and monitoring mechanisms. Implement best practices across data lifecycle management.
• Cross‑Functional Leadership & Influence Influence executive leadership, architecture boards, and cross‑functional stakeholders on data strategy decisions. Act as a thought leader in data engineering and AI data ecosystems. Represent the organization in industry forums, publications, and innovation initiatives.
• Business Alignment Translate business goals into platform capabilities Faster automated analytics Enhanced AI/ML readiness Self‑Service Tools Operational Reporting Enable data‑driven decision making.

Education & Experience

Recommended: Four‑year or Graduate Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics, Machine Learning, Data Analytics, and demonstrated competence. 7‑10 years of work experience, preferably in analytics, data science, reporting, or a related field.

Technical Expertise

Strong experience in: Cloud platforms: AWS, Azure (data services, analytics, storage) Data platforms: Data Lakes, Lakehouse, Data Warehousing ETL/ELT and pipeline orchestration Programming: Python, SQL (mandatory) Scala/Java (good to have) Experience with: Streaming and real‑time data systems Data modeling and governance MLOps / model deployment pipelines Modern architecture (Data Mesh, Medallion, API‑driven data services)

Preferred Certifications

• Data Analytics Certifications

Knowledge & Skills

• Agile Methodology
• Amazon Web Services
• Apache Spark
• Automation
• Big Data
• Computer Science
• Data Analysis
• Data Architecture
• Data Engineering
• Data Modeling
• Data Warehousing
• Extract Transform Load (ETL)
• Java (Programming Language)
• Machine Learning
• Microsoft Azure
• NoSQL
• Python (Programming Language)
• Scalability
• Software Engineering
• 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.

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.

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, including; 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave (US benefits overview)

Job Details

Schedule - Full time Shift - No shift premium (United States of America) Travel - 25% Relocation - Yes

Equal Opportunity Employer

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.

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

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