Data Engineer
Job in
Sunnyvale, Santa Clara County, California, 94087, USA
Listed on 2026-09-17
Listing for:
Jobtailor
Full Time
position Listed on 2026-09-17
Job specializations:
-
IT/Tech
Data Engineering, Information Security & Data Protection, Data Warehousing
Job Description & How to Apply Below
- Collaborate with stakeholders to translate complex business requirements into scalable data solutions
- Operate and evolve de-identification and tokenization pipelines on two on-premises vendor platforms through CLI-driven workflows
- Build transformations and joins to adjust data granularity and satisfy risk thresholds under the Expert Determination methodology
- Own daily and weekly refresh cycles feeding internal analytics and external pharma partners
- Translate HIPAA, DGC, and Expert Determination requirements into engineering controls with Legal, Privacy, and Compliance
- Implement data governance practices for regulatory and ethical compliance
- Automate workflows and optimize ETL processes using modern tools and cloud platforms
- Conduct data quality assessments and metadata management
- Support data sourcing, experimentation, evaluation, and production for health-focused products
- Collaborate with product, data science, and other data engineering teams, owning model quality, insights, and measurable impact
- Bachelor’s degree in Computer Science and 4 years’ experience in software engineering or related field; or 6 years’ experience in software engineering or related field; or Master’s degree in Computer Science and 2 years’ experience in software engineering or related field
- 3 years’ experience in data engineering, database engineering, business intelligence, or business analytics
- Translate complex business requirements into scalable data solutions
- Expertise in data engineering, data pipeline management, and large-scale data processing
- Strong proficiency in Python, SQL, and ETL frameworks
- Experience with cloud data platforms, workflow automation, and CI/CD practices
- Knowledge of data governance, regulatory compliance, and sensitive healthcare data such as PHI/PII
- Ability to design and implement data models and metadata management using modern tools
- Familiarity with Apache Kafka, REST APIs, and Git
- Ability to work with HIPAA, DGC, and Expert Determination requirements
- Walmart maintains a drug-free workplace and a no-tolerance policy regarding illegal drugs and alcohol on the job
Demonstrates expertise in data engineering, including data pipeline management, ETL processes, and regulatory compliance, with a strong focus on translating complex business requirements into scalable data solutions. Proficient in Python, SQL, and cloud data platforms, ensuring data quality and governance in health-focused products.
Highest-signal resume keywords- Data Engineering
- Python Proficiency
- ETL Frameworks
- Data Governance
- Cloud Data Platforms
- Data Pipeline Management
- Large-Scale Data Processing
- Metadata Management
- Data Modeling
- Workflow Automation
- CI/CD Practices
- Data Quality Assessment
- Business Intelligence
- Business Analytics
- Database Engineering
- HIPAA
- DGC
- Expert Determination
- PHI
- PII
- Regulatory Compliance
- Data Governance
- Ethical Compliance
- Apache Kafka
- REST APIs
- Git
- Cloud Platforms
- CLI-Driven Workflows
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