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Today

Quality Data Engineer

HP Spring, TX

Spring, TX

Today

$105k - $162k/yr Full time Azure Big Data Cloud

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Job Description

Build enterprise-grade data platforms at HP and help turn complex data into faster automated analytics, enhanced AI/ML readiness, and self-service tools. In Spring, TX (onsite), you will lead architecture and delivery across data warehousing, governance, streaming, and modern data stack roadmaps, while partnering with data science teams to productionize AI/ML.

What you’ll do

Design the enterprise-wide blueprint for how data is stored, integrated, accessed, and governed
Manage technical platforms that enable downstream insights and solutions
Design HP PS Quality data warehouses and data lakes
Define architectural patterns such as medallion architecture, data mesh, and data fabric
Establish data standards and automated interoperability rules
Implement enterprise-grade data architectures for batch, streaming, and real-time structured and unstructured data
Build scalable, secure, high-performance data platforms for BI, advanced analytics, and AI/ML use cases
Set data modeling standards and reusable frameworks across the organization
Lead enterprise data strategy aligned 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 a roadmap for modern data stack adoption including cloud-native, lakehouse, streaming, and GenAI-ready architectures
Partner with Data Scientists to productionize ML/AI models into scalable systems
Create and optimize data pipelines, feature engineering frameworks, and MLOps workflows
Lead the design, development, and deployment of complex data pipelines and distributed systems
Drive adoption of new technologies including GenAI, agentic systems, streaming architectures, and data mesh
Ensure performance, reliability, and cost optimization goals are met
Ensure adherence to data governance, privacy, security, and compliance standards in alignment with HP Cybersecurity and privacy guidelines
Maintain master data management, access controls, audits, metadata, and data hierarchy
Establish data quality frameworks, lineage, observability, and monitoring mechanisms; apply best practices across the data lifecycle
Influence executive leadership, architecture boards, and cross-functional stakeholders on data strategy decisions
Represent HP in industry forums, publications, and innovation initiatives
Work on complex problems requiring in-depth evaluation of multiple factors

Required qualifications

Four-year or Graduate Degree in Computer Science, Information Systems, Engineering, Statistics/Mathematics, Machine Learning, Data Analytics, or demonstrated competence
7-10 years of work experience, preferably in analytics, data science, reporting, or a related field
Strong experience with AWS and Azure (data services, analytics, storage)
Strong experience with data platforms including Data Lakes, Lakehouse, and Data Warehousing
Strong experience with ETL/ELT and pipeline orchestration
Python and SQL (mandatory)
Experience with streaming and real-time data systems
Experience with data modeling and governance
Experience with MLOps and model deployment pipelines
Experience with modern architecture: Data Mesh, Medallion, and API-driven data services

Preferred certifications

Data Analytics Certifications

Tools and technologies you may use

AWS, Azure, Python, SQL, Scala, Java
Apache Spark, NoSQL
ETL, ELT, Data Lakes, Lakehouse, Data Warehousing
Medallion architecture, data mesh, data fabric
MLOps, GenAI, agentic systems, streaming architectures

Compensation, schedule, and logistics

Salary: USD 105,050 - 161,800 per year
Location: Spring, TX (onsite)
Schedule: Full time
Shift premium: No shift premium (United States of America)
Travel: 25%
Relocation: Yes
Job category: Data & Information Technology

HP benefits

Health insurance, dental insurance, and vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave (US benefits overview)

Skills that support success

Agile methodology
Automation, big data, data analysis, and data engineering
Digital fluency and customer centricity
Effective communication, results orientation, learning agility

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