{"id":1570307,"url":"https://alion.io/job/hp-inc-quality-data-engineer","title":"Quality Data Engineer","company":{"id":72,"name":"HP Inc.","domain":"hp.com","url":"https://alion.io/company/hewlett-packard","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":82,"open_postings":120,"ghost_share":0,"stale_share":0.708,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":105050,"max":161800,"currency":"USD","period":"year","gross":null,"usd_annual":161800},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-30T00:00:00Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-04T00:19:13Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Quality Data EngineerDescription -\nThis 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.\nResponsibilities:\nData Architecture Strategy\nDesign the enterprise-wide blueprint for how data is stored, integrated, accessed, and governed\nManage the technical platforms that enable downstream insights, solutions, etc\nDesign PS Quality data warehouses / data lakes\nDetermine architectural patterns (e.g., medallion architecture, data mesh, data fabric)\nEstablish data standards and automated interoperability rules\nData Architecture & Platform Leadership\nDesigning data warehouses / data lakes that meets Quality Business Requirements\nDefine and implement enterprise-grade data architectures (batch, streaming, real-time) for large-scale structured and unstructured data.\nDesign scalable, secure, and high-performance data platforms supporting BI, advanced analytics, and AI/ML use cases.\nEstablish data modeling standards, and reusable frameworks across the organization.\nData Strategy & Transformation\nLead enterprise data strategy, aligning data initiatives with business, AI, and digital transformation goals.\nIdentify and prioritize high-value analytics and AI opportunities leveraging telemetry, operational, and product data.\nDrive data monetization, standardization, and governance frameworks.\nDefine roadmap for modern data stack adoption (cloud-native, lakehouse, streaming, GenAI-ready architectures).\nAI/ML Enablement & Industrialization\nPartner closely with Data Scientists to productionize ML/AI models into scalable systems.\nBuild and optimize data pipelines, feature engineering frameworks, and MLOps workflows.\nEngineering Execution & Innovation\nLead the design, development, and deployment of complex data pipelines and distributed systems.\nDrive adoption of new technologies (GenAI, agentic systems, streaming architectures, data mesh).\nEnsure solutions meet performance, reliability, and cost optimization goals.\nGovernance, Security & Compliance\nEnsure adherence to data governance, privacy, security, and compliance standards in alignment with HP Cybersecurity and privacy guidlines\nMaintain master data management, access controls, audits, metadata, management, and data hierarchy\nEstablish data quality frameworks, lineage, observability, and monitoring mechanisms.\nImplement best practices across data lifecycle management.\nCross-Functional Leadership & Influence\nInfluence executive leadership, architecture boards, and cross-functional stakeholders on data strategy decisions.\nAct as a thought leader in data engineering and AI data ecosystems.\nRepresent the organization in industry forums, publications, and innovation initiatives.\nBusiness Alignment\nTranslate business goals into platform capabilities\nFaster automated analytics\nEnhanced AI/ML readiness\nSelf-Service Tools\nOperational Reporting\nEnable data-driven decision making\n\nEducation & Experience Recommended:\nFour-year or Graduate Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics, Machine Learning, Data Analytics, and demonstrated competence.\n7-10 years of work experience, preferably in analytics, data science, reporting, or a related field.\nTechnical Expertise\nStrong experience in:Cloud platforms: AWS, Azure (data services, analytics, storage)\nData platforms: Data Lakes, Lakehouse, Data Warehousing\nETL/ELT and pipeline orchestration\n\nProgramming:Python, SQL (mandatory)\nScala/Java (good to have)\n\nExperience with:Streaming and real-time data systems\nData modeling and governance\nMLOps / model deployment pipelines\nModern architecture (Data Mesh, Medallion, API-driven data services)\n\nPreferred Certifications\nData Analytics Certifications Knowledge & Skills\nAgile Methodology\nAmazon Web Services\nApache Spark\nAutomation\nBig Data\nComputer Science\nData Analysis\nData Architecture\nData Engineering\nData Modeling\nData Warehousing\nExtract Transform Load (ETL)\nJava (Programming Language)\nMachine Learning\nMicrosoft Azure\nNoSQL\nPython (Programming Language)\nScalability\nSoftware Engineering\nSQL (Programming Language) Cross-Org Skills\nEffective Communication\nResults Orientation\nLearning Agility\nDigital Fluency\nCustomer Centricity Impact & Scope\nImpacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Complexity\nWorks on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Disclaimer\nThis 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.\nThe 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.\nBenefits:\nHP offers a comprehensive benefits package for this position, including:\nHealth insurance\nDental insurance\nVision insurance\nLong term/short term disability insurance\nEmployee assistance program\nFlexible spending account\nLife insurance\nGenerous time off policies, including;\n4-12 weeks fully paid parental leave based on tenure\n11 paid holidays\nAdditional flexible paid vacation and sick leave (US benefits overview)\nThe 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.\nJob -\nData & Information TechnologySchedule -\nFull timeShift -\nNo shift premium (United States of America)Travel -\n25%Relocation -\nYesEqual Opportunity Employer (EEO)-\nHP, 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).\nPlease be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.\nFor more information, review HP’sEEO Policy or read about your rights as an applicant under the law here: “ Know Your Rights: Workplace Discrimination is Illegal \"","description_format":"text","description_chars":7283,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Dental insurance","Equity","Health insurance","Life insurance","Parental leave","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":true,"industries":["Laptops","Computer Peripherals","3D Printers & Additive Manufacturing","Printers & Scanners"],"lifecycle":[{"event":"open","at":"2026-10-01T07:46:40Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":24,"reasons":["conf:24","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":{"stated_usd_annual":161800,"is_top_pay":true},"html_url":"https://alion.io/job/hp-inc-quality-data-engineer","json_url":"https://alion.io/job/hp-inc-quality-data-engineer.json","meta":{"generated_at":"2026-10-04T02:42:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3999,"day_limit":5000,"remaining_today":1001,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}