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Junior Data Engineer Jobs in Riverside, CA (NOW HIRING)

A multi-disciplinary architectural, engineering and construction firm is seeking a Junior Engineer ... Analyze data and prepare reports on building envelope performance * Assist in the design of ...

DATA SCIENTIST II

Norco, CA ยท On-site

$115K - $130K/yr

Provide technical guidance and mentorship to junior data scientists and analysts Basic ... Proficiency in Python, R, or similar programming languages for data analysis * Working knowledge in ...

Junior Engineer/ Detailer

Irvine, CA ยท On-site

$24 - $30/hr

Junior Engineer/ Detailer - Crane Systems & Field Survey Location: Irvine, CA 92618 Pay: $24.00 ... dimensional data sheets used by the sales and estimating teams โ€ข Update and revise standard ...

Junior Engineer/ Detailer

Irvine, CA ยท On-site

$24 - $30/hr

Junior Engineer/ Detailer - Crane Systems & Field Survey Location: Irvine, CA 92618 Pay: $24.00 ... Support the development of product selection documentation and dimensional data sheets used by the ...

Junior Engineer

Irvine, CA ยท On-site

$70K - $80K/yr

Analyze data and prepare reports on building envelope performance * Assist in the design of ... Engineering Track: Bachelor's degree in architecture, engineering, or building technology * Field ...

Junior Engineer

Irvine, CA ยท On-site

$70K - $80K/yr

Analyze data and prepare reports on building envelope performance * Assist in the design of ... Engineering Track: Bachelor's degree in architecture, engineering, or building technology * Field ...

Junior Engineer

Irvine, CA ยท On-site

$70K - $80K/yr

Analyze data and prepare reports on building envelope performance * Assist in the design of ... Engineering Track: Bachelor's degree in architecture, engineering, or building technology * Field ...

Showing results 21-40

Junior Data Engineer information

See Riverside, CA salary details

$34.9K

$74.9K

$114.2K

How much do junior data engineer jobs pay per year?

As of Sep 15, 2026, the average yearly pay for junior data engineer in Riverside, CA is $74,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,600.00 and $83,500.00 per year, depending on experience, location, and employer.

What is a junior data engineer?

A Junior Data Engineer is an entry-level role focused on building and maintaining data pipelines, supporting data integration, and ensuring efficient data flow within an organization. They work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to help store, process, and analyze data. Junior Data Engineers collaborate with senior engineers and data analysts to optimize data infrastructure and improve performance. They typically have knowledge of SQL, Python, and big data tools like Spark or Hadoop. This role serves as a foundation for advancing into senior data engineering positions.

What are the typical responsibilities of a junior data engineer?

As a Junior Data Engineer, you will likely spend your days assisting with data pipeline development, performing basic data extraction, transformation, and loading (ETL) tasks, and helping maintain and troubleshoot databases. You may also be responsible for supporting data quality checks, writing simple scripts, and documenting your processes to help senior engineers and data analysts. Collaboration is key, as you'll often work closely with team members to understand project requirements and integrate feedback. This role offers the chance to build technical skills on real-world projects while gaining mentorship from experienced engineers.

What are the most commonly searched types of Data Engineer jobs in Riverside, CA?

The most popular types of Data Engineer jobs in Riverside, CA are:

What are popular job titles related to Junior Data Engineer jobs in Riverside, CA?

For Junior Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Junior Data Engineer jobs in Riverside, CA look for?

The top searched job categories for Junior Data Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Junior Data Engineer jobs?

Cities near Riverside, CA with the most Junior Data Engineer job openings:

Infographic showing various Junior Data Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $74,906 per year, or $36 per hour.

Principal Data Engineer - (Hadoop/Big Data, AWS, Python, Kinesis) - Irvine, CA - Onsite - Contr[...]

Irvine, CA โ€ข On-site

Other

Re-posted 3 days ago


Key responsibilities

  • Lead the creation of data environments and/or data sets to serve various data users.

  • Perform offline analysis of large data sets using big data software ecosystem components.

  • Own product data sets from definition through to production deployment and support data infrastructure deployment in AWS.


Job description

Principal Data Engineer โ€“ (Hadoop/Big Data, AWS, Python, Kinesis) - Irvine, CA - Onsite - Contract to Hire - AS
  • Irvine, CA

Position: Senior Data Engineer โ€“ (Hadoop/Big Data, AWS, Python, Kinesis)
Location: Irvine, CA - Onsite role
Position Type: Contract to Hire

Responsibilities

You will be responsible for all aspects of data acquisition, data transformation, analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Investigate, evaluate, test and recommend technical solutions for future systems. They will support software developers, database architects, data scientists on data initiatives and will contribute optimal data delivery architecture.

What you will be doing:
  • Lead the creation of data environments and/or data sets to serve a wide range of data users, including but not limited to Data Scientists, Data Analysts, Business Analysts etc.
  • Perform offline analysis of large data sets using components of a big data software ecosystem.
  • Validate the solution of root cause analysis escalated by various technical staff in multiple organizations and with differing levels of expertise.
  • Investigate, evaluate, test and recommend technical solutions for future systems.
Data Management
  • Own product data sets from the definition phase through to production deployment (end-to-end).
  • Provide solutions for the design and implementation of Hadoop EMR Cluster/ Big Data Infrastructure.
  • Deploy Hadoop/Big Data/Spark and database storage Infrastructures in AWS cloud.
  • Monitor HDFS/Hadoop/Spark and related software releases, third-party utilities with emphasis on overall system performance.
  • Lead and develop tools and procedures to monitor and automate system tasks on servers and clusters
  • Lead and collaborate with other teams to design, develop, and deploy data tools that support both operations and product use cases.
Data Design
  • Lead and design distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time.
  • Lead and design big data technologies and prototype solutions to improve data processing architecture.
QualificationsWhat we are looking for:
  • Bachelorโ€™s degree in computer science, computer engineering, or a related technical field.
  • 12+ years of professional experience as a data software engineer; or 16+ years of related experience as a data software engineer in lieu of 4-year degree.
  • 2+ years of experience with AWS cloud or other cloud Big Data computing design, provisioning, and tuning.
  • Related AWS certification, preferred.
  • Previous experience as a Data Engineer / Database Administrator and/or Business Intelligence Analyst.
  • Expertise in database concepts, object and data modeling techniques and design principles.
  • Expertise in database architectures, software, and facilities
  • Expertise with programming languages - Python (required), Scala, Ruby, R Database technologies - SQL, performance tuning concepts, AWS RDS, RedShift, MySQL
  • Expertise with big data batch processing tools: Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR
  • Expertise with stream-processing systems: Kinesis, Kafka, MQTT
  • Expertise with relational NoSQL databases including DyanamoDB
  • Expertise in writing JSON, XML, YAML and other data definition schemas
  • Excellent verbal and written communication skills necessary to effectively collaborate in a team environment and present and explain technical information and provide advice to management.
  • Ability to work on advanced complex technical projects or business issues requiring state of the art technical knowledge or industry.
  • Ability to work on significant and unique issues where analysis of situations or data requires an evaluation of intangibles.
  • Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.
  • Ability to lead and mentor junior engineers and colleagues.
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