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Data Engineer Python Jobs in California (NOW HIRING)

Staff, Data Engineer

Sunnyvale, CA · On-site

$140 - $180/hr

Strong proficiency in Python, SQL, and ETL frameworks * Experience with cloud data platforms ... Data Engineering * Python Proficiency * ETL Frameworks * Data Governance * Cloud Data Platforms ATS ...

New

... Engineering, or a related field. * Technical Skills: * Proficiency in Python and libraries such as ... Familiarity with fundamental concepts in data structures and algorithms. * Preferred: * Experience ...

... Engineering, or a related field. * Technical Skills: * Proficiency in Python and libraries such as ... Familiarity with fundamental concepts in data structures and algorithms. * Preferred: * Experience ...

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Data Engineer(SQl, Python) Location: Sunnyvale, CA (onsite) Job Type: full time Must Have Technical/Functional Skills * 8+ years of professional experience in data engineering or backend data ...

... Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas ... in data structures and algorithms. • Ability to communicate and work well in a team. • ...

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Data Engineer Location: Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 ... The ideal candidate will have strong expertise in Snowflake, SQL, ETL, DBT, Tableau, Python, and ...

Data Engineer

California City, CA · On-site

$140K - $168K/yr

Python * Data Engineering * Automation Scripting * Data Modeling * Dimensional Modeling * Normalization * Data Warehouse Design * OLTP vs. OLAP Architecture Understanding Experience Requirements:

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

We are seeking a highly skilled Data Engineer with expertise in AI-enabled data platforms, AWS cloud services, Python, PySpark, and Kubernetes to design, develop, and optimize scalable data pipelines ...

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Programming (Python, SQL, PySpark, Shell Scripting). * Big Data Technologies (Apache Spark, Hadoop Ecosystem, Kafka). * DevOps & CI/CD (Git, Jenkins/Azure DevOps). Education and Experience:

... Engineering, or a related field. • Proficiency in Python and libraries such as PyTorch, Pandas ... in data structures and algorithms. • Ability to communicate and work well in a team. • ...

Data Engineer

Aliso Viejo, CA · On-site

$50 - $55/hr

Programming (Python, SQL, PySpark, Shell Scripting). Big Data Technologies (Apache Spark, Hadoop Ecosystem, Kafka). DevOps & CI/CD (Git, Jenkins/Azure DevOps). Education and Experience: Bachelor's or ...

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

The role involves utilizing skills in SQL and Python within the banking or finance domain. Qualifications : Required : • 8-10 Years of experience • Skills: Data Engineer • Skills: SQL • ...

Showing results 21-40

Data Engineer Python information

What is a data engineer python?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What does a data engineer python do?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.

What are the key skills and qualifications needed to thrive in the data engineer python position?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.

What job categories do people searching Data Engineer Python jobs in California look for?

The top searched job categories for Data Engineer Python jobs in California are:

Infographic showing various Data Engineer Python job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Staff, Data Engineer

Jobtailor

Sunnyvale, CA • On-site

$140 - $180/hr

Other

Posted yesterday

New


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 KeywordsHard 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
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