Staff, Data Engineer

Jobtailor; Sunnyvale (CA); On-site; USD 140,000 - 180,000; Full time

Job summary

Jobtailor in Sunnyvale, CA is seeking a data engineer to translate healthcare data requirements into scalable pipelines and maintain governance for health-focused products.

You will work on de-identification/tokenization on two on-premises platforms, build data transformations, and collaborate with product and data teams to drive measurable impact.

Qualifications

• Bachelor’s degree in Computer Science with 4+ years of software engineering or 6+ years without a degree.
• 3 years’ experience in data engineering, database engineering, BI, or analytics.
• Translate complex business requirements into scalable data solutions.

Responsibilities

• 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 Expert Determination.
• 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.

Skills

Python

SQL

ETL frameworks

Cloud platforms

CI/CD practices

Data governance

REST APIs

Apache Kafka

Git

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Apache Kafka

REST APIs

Git

CLI-Driven Workflows

Cloud Platforms

CI/CD Practices

Job description

• 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

Requirements

• 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

Core Competencies

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

ATS Optimization Keywords

Hard Skills

• 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

Industry Keywords

• HIPAA
• DGC
• Expert Determination
• PHI
• PII
• Regulatory Compliance
• Data Governance
• Ethical Compliance

Tools & Technologies

• Apache Kafka
• REST APIs
• Git
• Cloud Platforms
• CLI-Driven Workflows