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Entry Level Streaming Data Engineer Jobs in Irvine, CA

TP-Link Systems Inc.

Big Data Engineer

Irvine, CA · On-site

$100/hr

Lakehouse formats (Iceberg, Hudi, Delta), streaming (Kafka, Flink), dbt, or a data quality framework. * QuickSight or another BI tool: dataset and permission design. * Self-directed learning: a ...

New

TP-Link Systems Inc.

Big Data Engineer

Irvine, CA · On-site

$100/hr

Lakehouse formats (Iceberg, Hudi, Delta), streaming (Kafka, Flink), dbt, or a data quality framework. * QuickSight or another BI tool: dataset and permission design. * Self-directed learning: a ...

TP-Link Systems Inc.

Big Data Engineer

Irvine, CA · On-site

$100/hr

Lakehouse formats (Iceberg, Hudi, Delta), streaming (Kafka, Flink), dbt, or a data quality framework. * QuickSight or another BI tool: dataset and permission design. * Self-directed learning: a ...

New

CYNET SYSTEMS

Data Tech Lead with Java

Aliso Viejo, CA · On-site

$61 - $66/hr

Experience in Java-based streaming and ingestion frameworks. * Strong knowledge of Apache Kafka ... Understanding cloud-based data engineering and distributed processing concepts. * Experience in ...

SCS Engineers

Entry-Level Associate/Engineer

Long Beach, CA · On-site

$30 - $35/hr

... engineering solutions. As an Entry-Level Solid Waste Technical Associate in our Long Beach office ... Compile data and help prepare portions of reports, progressing toward the ability to prepare ...

New

Pwc

AI Engineer

Irvine, CA · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Streaming Data Engineer information

See Irvine, CA salary details

$47.8K

$139.2K

$190.5K

How much do entry level streaming data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for entry level streaming data engineer in Irvine, CA is $139,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Streaming Data Engineer vs Data Analyst?

AspectEntry Level Streaming Data EngineerData Analyst
Required SkillsKnowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modelingData visualization, SQL, statistical analysis, Excel
CertificationsOptional certifications in data engineering or cloud platformsCertifications in data analysis or business intelligence tools
Work EnvironmentDeveloping real-time data pipelines, working with streaming data systemsInterpreting data, creating reports, supporting decision-making
Industry UsageTech, finance, e-commerce, where real-time data processing is criticalMarketing, finance, healthcare, focusing on data insights

In summary, Entry Level Streaming Data Engineers focus on building and maintaining real-time data pipelines using streaming technologies, while Data Analysts interpret and visualize data to support business decisions. Both roles require different skill sets but are essential in data-driven industries.

Can I get an entry level streaming data engineer job with no experience?

Entry level streaming data engineer roles typically require some knowledge of data processing tools like Apache Kafka or Spark, and familiarity with programming languages such as Python or Java. While prior experience is often preferred, candidates with relevant internships, certifications, or strong foundational skills in data concepts can sometimes qualify for entry-level positions. Demonstrating a willingness to learn and understanding of streaming architectures can improve chances of securing such roles.

What is an entry level streaming data engineer?

An entry level streaming data engineer is a professional responsible for designing, building, and maintaining systems that process real-time data streams. They typically work with tools like Apache Kafka, Spark Streaming, or Flink and require foundational knowledge of programming, data architecture, and cloud platforms. This role often involves collaborating with data scientists and software engineers to ensure efficient data flow and availability.

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

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

What are popular job titles related to Entry Level Streaming Data Engineer jobs in Irvine, CA?

For Entry Level Streaming Data Engineer jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Streaming Data Engineer jobs in Irvine, CA look for?

The top searched job categories for Entry Level Streaming Data Engineer jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Entry Level Streaming Data Engineer jobs?

Cities near Irvine, CA with the most Entry Level Streaming Data Engineer job openings:

Entry Level Streaming Data Engineer jobs near you
Infographic showing various Entry Level Streaming Data Engineer job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $139,236 per year, or $66.9 per hour.

Big Data Engineer

Irvine, CA • On-site

TP-Link Systems Inc.
See more jobs at TP-Link Systems Inc.external

$100/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 3 days ago

New

Job description

ABOUT US:

Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint.

We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology.

Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle.

KEY RESPONSIBILITIES

  • Build, run, and own ETL pipelines on EMR (Spark) orchestrated in Airflow - including their monitoring, alerting, and recovery.
  • Write SQL and Python for data ingestion, transformation, and the datasets that analysts and dashboards depend on.
  • Own data quality for what you build - run the checks before you ship and add new ones where they're missing; confirm the results are correct, not only that the job completed.
  • Build and extend the data models for your area: fact and dimension tables following the team's layering conventions.
  • Keep your jobs efficient - watch runtime and cost, and raise slow or expensive jobs rather than living with them.
  • Use and extend the team's shared patterns and templates, and turn work you find yourself repeating into something automated or reusable.
  • Work with analysts and business stakeholders to turn requests into datasets that actually get used.

Requirements

REQUIRED QUALIFICATIONS

  • 2-4 years of hands-on data development in a production environment - pipelines that run on a schedule with real downstream consumers, that you were responsible for including when they broke.
  • Strong SQL: window functions, complex multi-table joins, incremental loads, and the ability to work out why a query is slow.
  • Python for production ETL and tooling (PySpark, pandas, boto3) - code that runs on a schedule, not only notebooks.
  • Hands-on experience with Spark on a cloud platform: AWS EMR, Databricks, Glue, or equivalent.
  • Production experience with a scheduler, Airflow preferred: DAG design, dependencies, retries, and reruns that are safe to repeat.
  • Working understanding of dimensional modeling: fact and dimension tables, star schema, and warehouse layering.
  • Comfortable working on AWS (S3 with Parquet / ORC), Linux, and Git - and comfortable picking up new tools as the platform evolves.
  • Effective use of AI to solve data problems - using it to move faster on SQL, debugging, and unfamiliar schemas, with the judgment to catch output that looks right but isn't.
  • Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent practical experience.

PREFERRED QUALIFICATIONS

  • Data ingestion or CDC tooling: DataX, Sqoop, Debezium, Fivetran, or similar.
  • An OLAP / MPP engine: StarRocks, Doris, ClickHouse, Redshift, or similar.
  • Spark performance work: partitioning, shuffle, skew, and memory tuning.
  • AWS cost optimization: EMR instance sizing and Spot strategy, S3 lifecycle policies.
  • Lakehouse formats (Iceberg, Hudi, Delta), streaming (Kafka, Flink), dbt, or a data quality framework.
  • QuickSight or another BI tool: dataset and permission design.
  • Self-directed learning: a project, an open-source contribution, or a tool you picked up on your own and put to real use

Benefits

Base Salary Range: $100 - 120K

  • Free snacks and drinks
  • Fully paid medical, dental, and vision insurance (partial coverage for dependents)
  • Contributions to 401K funds
  • Bi-annual reviews, and annual pay increases
  • Health and wellness benefits, including free gym membership
  • Quarterly team-building events

At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc.

Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

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