ZipRecruiter

Log In

1

Jr Data Engineer Jobs in Newark, CA (NOW HIRING)

General Motors

Staff ML Systems Engineer

Sunnyvale, CA · On-site

$172 - $304/hr

JR-202617703** **Help teach our self‐driving vehicles how to see and understand the world!The **Data Labeling Engineering** team designs, builds, and operates hybrid human/machine data labeling ...

Netpace Inc

UI Engineer

San Jose, CA · On-site

$121K - $162K/yr

... data analytics, machine learning, and advanced visualization across cloud, desktop, and mobile ... Required : • 3-6 years (jr)/ 7-10 years(sr) of JavaScript, Angular, Node.js, Vue.js/React, and ...

Info Way Solutions

Jr.System Engineer

Fremont, CA · On-site

Info Way Solutions is seeking a Junior Systems Engineer to support one of the largest electric ... system data are successfully backed up to the appropriate media, recovery tapes or disks are ...

Jobsbridge

Jr.Hadoop Developer

San Jose, CA

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Requirements: 3 years of experience with Hadoop ...

Jobsbridge

Jr.Hadoop Developer

San Jose, CA · On-site

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. GC/CITIZEN can apply Requirements: 3 years of experience with Hadoop ...

next page

Showing results 1-20

All JobsJr Data Engineer JobsJr Data Engineer Jobs in Newark, CA

Jr Data Engineer information

See Newark, CA salary details

$50K

$145.9K

$199.6K

How much do jr data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for jr data engineer in Newark, CA is $145,894.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,800.00 and $154,600.00 per year, depending on experience, location, and employer.

What does a Jr Data Engineer do?

A Jr Data Engineer is responsible for supporting the design, development, and maintenance of data pipelines and systems. They work with senior data engineers to collect, clean, and organize data from various sources, ensuring that the data is reliable and accessible for analysis. Junior data engineers may also assist in troubleshooting data issues, optimizing data flows, and learning best practices in data engineering. Their role provides foundational experience in data management, database technologies, and programming.

What types of projects and tasks can a Jr Data Engineer expect to work on during their first year?

As a Jr Data Engineer, you can expect to be involved in projects such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. You'll likely collaborate closely with data analysts, senior engineers, and business stakeholders to ensure data is accessible and reliable for analysis. During your first year, you'll gain experience with ETL tools, cloud data platforms, and scripting languages, while learning best practices in data architecture and quality assurance. This hands-on involvement lays a strong foundation for future growth into more advanced engineering or analytics roles.

What are the key skills and qualifications needed to thrive as a Jr Data Engineer, and why are they important?

To thrive as a Jr Data Engineer, you need a solid understanding of database concepts, SQL, and programming languages like Python or Java, usually supported by a relevant degree or coursework. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and version control systems like Git is typically required. Strong problem-solving, attention to detail, and effective communication are important soft skills for collaborating with teams and handling data issues. These combined skills ensure efficient data pipeline development, accurate data handling, and smooth integration of data solutions within an organization.

What is the difference between Jr Data Engineer vs Data Analyst?

AspectJr Data EngineerData Analyst
Required SkillsBasic SQL, Python, ETL processes, data pipeline developmentData visualization, SQL, Excel, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, reporting tools, dashboards
CertificationsEntry-level data engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

The Jr Data Engineer typically focuses on building and maintaining data pipelines and infrastructure, requiring skills in SQL, Python, and ETL processes. In contrast, a Data Analyst concentrates on interpreting data, creating reports, and visualizations. Both roles often work within similar industries and environments but serve different functions in data management and analysis.

What job categories do people searching Jr Data Engineer jobs in Newark, CA look for?

The top searched job categories for Jr Data Engineer jobs in Newark, CA are:

What cities near Newark, CA are hiring for Jr Data Engineer jobs?

Cities near Newark, CA with the most Jr Data Engineer job openings:

Jr Data Engineer jobs near you
Infographic showing various Jr Data Engineer job openings in Newark, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $145,894 per year, or $70.1 per hour.

Python Software Engineer (Jr-Mid Level)

Stellar IT Group

Fremont, CA • On-site

Full-time

Re-posted 6 days ago

Job description

Overview:
Python Software Engineer (Jr-Mid Level)
6 months, with potential extension or conversion
Fremont, CA - 5 days onsite
Role Summary
We are seeking a junior to mid-level Python Software Engineer (3-5 years experience) to design, build, and optimize data-intensive applications and machine learning solutions. The ideal candidate will come from fast-paced technology companies (Amazon, Google, Microsoft, PayPal, Uber, Airbnb, Doordash, Expedia, etc.) and have a concise resume highlighting hands-on coding contributions, debugging, troubleshooting, and distributed systems experience.
This role requires strong engineering fundamentals, recent hands-on development, and the ability to clearly articulate technical contributions.
Responsibilities
  • Design, develop, and deploy LLM-powered and AI-driven applications.
  • Build scalable, high-performance solutions using Python and modern engineering practices.
  • Develop and maintain REST APIs and microservices supporting critical business operations.
  • Work with diverse data sources (text, voice, image, structured datasets).
  • Collaborate with cross-functional teams to identify opportunities for automation and optimization.
  • Own production systems: monitoring, troubleshooting, and continuous improvement.
  • Translate ambiguous business requirements into end-to-end technical solutions.
  • Write clean, maintainable, and reusable code following agile practices.
Must-Have Requirements
  • 3-5 years of professional software engineering experience.
  • Bachelor's or Master's in Computer Science, Engineering, or equivalent practical experience.
  • Strong hands-on Python experience for data-intensive and high-performance applications.
  • Experience building and deploying production machine learning solutions.
  • Demonstrated work with Large Language Models (LLMs) and Generative AI.
  • Experience developing REST APIs and microservices.
  • Proficiency with MySQL and Redis.
  • Familiarity with at least one deep learning framework (PyTorch, TensorFlow, JAX).
  • Strong fundamentals in statistics, data analysis, model evaluation, and performance optimization.
  • Clear examples of debugging, troubleshooting, and distributed systems problem-solving.
Nice-to-Have Qualifications
  • Experience with recommender systems, operations research, or advanced AI/ML solutions.
  • Building and supporting enterprise-scale ML platforms.
  • Working with large, complex datasets in production environments.
  • Knowledge of C# and ASP.NET (secondary skill).
  • Prior experience automating compliance frameworks and generating audit evidence.

Skills:
Python,machine learning,llm

Apply