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Entry Level Streaming Data Engineer Jobs in Portland, OR

... data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals. * 2+ years building production, real-time inference services (API design ...

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 ...

This is an excellent opportunity for an entry-level or early-career IT professional looking to ... Escalate hardware, networking, or systems issues to senior engineers when appropriate. * Follow ...

This is an excellent opportunity for an entry-level or early-career IT professional looking to ... Escalate hardware, networking, or systems issues to senior engineers when appropriate. * Follow ...

WSP is currently initiating a search for an Entry Level Structural Engineer for our Lake Oswego ... location data, statistical documentation, engineering studies and surveys, and construction.

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Showing results 1-20

Entry Level Streaming Data Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of Aug 31, 2026, the average yearly pay for entry level streaming data engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 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 job categories do people searching Entry Level Streaming Data Engineer jobs in Portland, OR look for?

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

Infographic showing various Entry Level Streaming Data Engineer job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

$120K - $144K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

Hi All,
Hope you are doing great!
This is Himabindu from Rootshell Inc. We have an immediate need for below mention requirement, if you feel that you are a perfect match to this requirement, please forward your most updated resume along with the best time and number to carry out further discussions.
Looking forward to hear from you...
Role: Big Data Engineer
Location: Portland OR
Position:Long term
Role Expectations:
Strong experience in Scala or Python.
Experience building domain-driven microservices.
Experience with data modeling in different data stores and the Hadoop ecosystem. -
Experience working with data stores such as Snowflake, DynamoDB, etc. -
Experience working with Big Data frameworks such as Spark, Hive, Nifi, Spark-streaming, Kinesis, Kafka, etc. -
Experience with performance and scalability tuning. -
Experience working with schema evolution, serialization, and validation with file formats such as JSON, Parquet, Avro, etc.
Experience working in the AWS environment, specifically S3 and EMR. - Experience working with Airflow.
Familiarity with practices such as CI/CD and Automated testing.
Agile/Scrum Application development experience.
An interest in artificial intelligence and machine learning.