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Junior Data Engineering Jobs in Berkeley, CA (NOW HIRING)

Perficientcorp Inc

Sr. AWS Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Job Title: AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US ... Mentor and guide junior data engineers and enforce engineering excellence Required Skills ...

Dhalite Inc.

Junior Data Analyst

San Francisco, CA · On-site

We are currently looking for a Junior Data Analyst who is passionate about data analysis, reporting ... Collaborate with analysts, developers, and business teams Qualifications: * Bachelor s or Master s ...

Databricks

Staff Data Scientist

San Francisco, CA · On-site

... mentor junior data scientists while representing the data science discipline across the ... We work most closely with Product, Sales and Engineering at the moment, but also work with the ...

AllSTEM Connections

Data Engineer

San Francisco, CA · On-site

$120K - $133K/yr

Participate actively in Agile delivery ceremonies, contribute to backlog refinement, and mentor junior data engineering team members. Qualifications & Requirements Minimum Qualifications • ...

Aptiv

Data Platform Architect

Walnut Creek, CA · On-site

$70.50 - $90.75/hr

Provide guidance and mentorship to junior data developers HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * BS in Computer Science. The emphasis in Data ...

Aptiv PLC

Data Platform Architect

Walnut Creek, CA · On-site

$70.50 - $90.75/hr

Provide guidance and mentorship to junior data developers HOW YOU WILL CONTRIBUTE Key skills and competencies for succeeding in this role are: * BS in Computer Science. The emphasis in Data ...

Samba

Data Scientist

San Francisco, CA · On-site

$150 - $185/hr

You will work closely with Data Engineering, Product, and go‑to‑market teams. WHAT YOU'LL DO ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Knit Health

Senior Data Scientist

San Francisco, CA

$140K - $175K/yr

Mentor and support junior data scientists through technical guidance and best practices. * Partner closely with engineering, product, and clinical teams to prioritize work and solve complex problems.

Knit Health

Senior Data Scientist

San Francisco, CA · On-site

Mentor and support junior data scientists through technical guidance and best practices. * Partner closely with engineering, product, and clinical teams to prioritize work and solve complex problems.

Samba

Data Scientist

San Francisco, CA

$150K - $185K/yr

You will work closely with Data Engineering, Product, and go-to-market teams. WHAT YOU'LL DO ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Samba

Data Scientist

San Francisco, CA

You will work closely with Data Engineering, Product, and go-to-market teams. WHAT YOU'LL DO ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

Samba

Data Scientist

San Francisco, CA · On-site

$150K - $185K/yr

You will work closely with Data Engineering, Product, and go-to-market teams. WHAT YOU'LL DO ... Mentor junior Data Scientists through code review, pairing, and structured technical feedback ...

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All JobsData Engineering JobsJunior Data Engineering JobsJunior Data Engineering Jobs in Berkeley, CA

Junior Data Engineering information

See Berkeley, CA salary details

$41K

$87.9K

$134.1K

How much do junior data engineering jobs pay per year?

As of Aug 27, 2026, the average yearly pay for junior data engineering in Berkeley, CA is $87,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,400.00 and $98,000.00 per year, depending on experience, location, and employer.

What does a junior data engineer do?

A Junior Data Engineer typically assists in designing, building, and maintaining data pipelines and databases to support analytics and business needs. They work with large datasets, ensuring data is collected, stored, and processed efficiently and accurately. Responsibilities often include data cleaning, ETL (Extract, Transform, Load) processes, and collaborating with data analysts and other engineers. Junior Data Engineers are usually early in their careers and work under the guidance of more experienced data engineers while developing their technical and problem-solving skills.

What are the key skills and qualifications needed to thrive as a junior data engineer?

To thrive as a Junior Data Engineer, you need a solid understanding of data structures, SQL, and programming languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (such as AWS or Azure), and data warehousing solutions is typically required. Strong problem-solving abilities, attention to detail, and effective communication help you excel in team environments and manage complex data workflows. These skills ensure you can reliably build, maintain, and optimize data pipelines that support organizational decision-making.

What are some typical challenges a junior data engineer may face when starting out, and how can they overcome them?

As a Junior Data Engineer, one common challenge is adapting to complex data infrastructure and unfamiliar tools or frameworks. You may also find it challenging to ensure data quality and consistency while working with large datasets. Collaborating closely with senior engineers and asking questions is key to overcoming these hurdles. Taking advantage of onboarding resources, documentation, and code reviews will help you learn best practices and improve your skills quickly. Embracing continuous learning and seeking feedback will set you up for long-term growth in data engineering.

What is the difference between Junior Data Engineering vs Data Analyst?

AspectJunior Data EngineeringData Analyst
Required SkillsBasic SQL, Python, data pipeline knowledgeData visualization, SQL, Excel
CertificationsEntry-level certifications in data engineering or related fieldsCertifications in data analysis or visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, marketing, finance teams
Industry UsageBuilding and maintaining data pipelines and infrastructureInterpreting data, creating reports and dashboards

Junior Data Engineering focuses on developing and maintaining data pipelines and infrastructure, requiring skills in SQL and Python. Data Analysts interpret data and create reports, often using visualization tools. While both roles work with data, Junior Data Engineers handle data flow and storage, whereas Data Analysts focus on data interpretation and insights.

What are the most commonly searched types of Data Engineering jobs in Berkeley, CA?

The most popular types of Data Engineering jobs in Berkeley, CA are:

What are popular job titles related to Junior Data Engineering jobs in Berkeley, CA?

For Junior Data Engineering jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineering jobs in Berkeley, CA look for?

The top searched job categories for Junior Data Engineering jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Junior Data Engineering jobs?

Cities near Berkeley, CA with the most Junior Data Engineering job openings:

Junior Data Engineering jobs near you
Infographic showing various Junior Data Engineering job openings in Berkeley, CA as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $87,914 per year, or $42.3 per hour.

Sr. AWS Data Engineer

Perficientcorp Inc

San Francisco, CA • On-site

$134K - $162K/yr

Contractor

Re-posted 7 days ago

Job description

Job Title: AWS Data Engineering Lead
Location: San Francisco, CA(Locals Preferred but ok in US)
Mode: Hybrid(3 day a week onsite)
Employment type: Contract

 
Role Summary
We are seeking a highly skilled AWS Data Engineering Lead with strong hands-on experience in building scalable data platforms on AWS. The ideal candidate will lead data engineering initiatives, design robust data pipelines, perform code reviews, and ensure best practices in data modeling and governance.
 
Key Responsibilities
Lead the design and development of scalable data pipelines using AWS services
Architect and optimize data solutions using Amazon Redshift and AWS Athena
Develop and maintain ETL/ELT pipelines using Python
Drive data modeling (dimensional & normalized models) for analytics and reporting
Perform code reviews and enforce coding standards, best practices, and CI/CD processes
Collaborate with cross-functional teams including analytics, BI, and business stakeholders
Ensure data quality, governance, and performance optimization
Mentor and guide junior data engineers and enforce engineering excellence
 
Required Skills & Experience
•  8+ years in data engineering with 3+ years in a leadership/lead role
•  Strong hands-on experience with:
AWS Redshift
AWS Athena
S3, Glue, Lambda (nice to have but expected in ecosystem)
•  Advanced Python programming for data engineering
•  Strong expertise in data modeling (star/snowflake schemas, normalization)
•  Experience with large-scale data processing and optimization
•  Proven experience in code reviews, design reviews, and mentoring
•  Familiarity with SQL performance tuning and query optimization
Experience with Airflow or other orchestration tools
Exposure to real-time data processing (Kinesis, Kafka)
Knowledge of DevOps practices (CI/CD, Git, automated testing)
Experience with data visualization tools or BI platforms