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Entry Level Streaming Data Engineer Jobs in Seattle, WA

Solve challenges with probabilistic software, ensuring defensive error handling, streaming data ... Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI ...

AWS Cloud Engineer

Seattle, WA · On-site

$63.50 - $84.75/hr

AWS Cloud Engineer Location: Seattle, WA/St. Louis, MO/Plano, TX/Dallas, TX/Houston, TX (onsite ... Integrate data from various sources, including relational databases, APIs, and streaming data ...

Ability to design and build complex data pipelines that either stream data in * Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

Ability to design and build complex data pipelines that either stream data in * Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

Ability to design and build complex data pipelines that either stream data in * Experience and knowledge of programming and scripting languages, such as but not limited to Python, Node.JS and SQL

Showing results 41-60

Entry Level Streaming Data Engineer information

See Seattle, WA salary details

$50.6K

$147.6K

$202K

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

As of Aug 18, 2026, the average yearly pay for entry level streaming data engineer in Seattle, WA is $147,621.00, according to ZipRecruiter salary data. Most workers in this role earn between $130,300.00 and $156,500.00 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 popular job titles related to Entry Level Streaming Data Engineer jobs in Seattle, WA?

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

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

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

What cities near Seattle, WA are hiring for Entry Level Streaming Data Engineer jobs?

Cities near Seattle, WA with the most Entry Level Streaming Data Engineer job openings:

Infographic showing various Entry Level Streaming Data Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $147,621 per year, or $71 per hour.

Lead Software Engineer

Salesforce, Inc.

Bellevue, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago


Salesforce rating

8.1

Company rating: 8.1 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

113th of 245 rated software companies


Job description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Salesforce is seeking a passionate and highly skilled AI/SW Engineer to join our team in Tableau developing the #1 AI-powered analytics agents for helping customers see, understand, and act on data.

On the Analytics Agent team, you will work at the forefront of agentic application development, building groundbreaking, multi-modal products and tools that transform how people engage with data.

This is an opportunity to contribute to a dynamic, fast-paced environment, applying your expertise to build scalable, data-intensive systems for analytics. We're looking for curious and motivated engineers who want to play a significant role in pushing the boundaries of what AI agents can achieve.

Key Responsibilities

  • Collaborate with product managers, fellow engineers, and researchers to build next-generation generative AI products and prototypes to make our customers successful.

  • Propose and rapidly iterate on ideas and experiments, as though in a startup environment, to achieve product-market fit for cutting-edge analytics agents.

  • Build and shape user experiences using context engineering and generative AI capabilities.

  • Design and build scalable and performant agentic systems, taking throughput and latency into account, recognizing how and where to apply parallel processing, stream processing, and asynchronous I/O.

  • Evaluate the performance and quality of the agentic solutions you are building against customer use cases.

  • Solve challenges with probabilistic software, ensuring defensive error handling, streaming data optimization, caching, and explainability.

  • Implement logging, tracing mechanisms, and tools to facilitate debugging, diagnostics, and performance tracking.

  • Engage in light DevOps tasks, leveraging infrastructure best practices to deploy and monitor AI-driven systems.

Requirements

  • 10+ years of enterprise engineering experience

  • Adaptable and Innovative Mindset: Fearless about learning new technologies and excited to work in a fast-paced, ambiguous environment. Possess a problem-first approach with a careful and principled methodology for building resilient systems.

  • Expertise in shaping experiences with LLMs and agents.

  • Proficient with evaluation of ML model performance.

  • Strong Programming and Distributed Systems Development Skills: Proficient in Python, Java, or other languages. Experience building full-stack applications with expertise in either backend, frontend, or both. Ability to handle error cases, write asynchronous code, and work effectively with streaming data. Professional experience in developing, scaling, and maintaining applications at a production scale.

  • Experience with Modern Software Development Practices: Familiar with DevOps principles, infrastructure best practices, and cloud-based deployments. Knowledgeable about queues, message buses, and event-driven architectures. Customers see, understand, and act on data.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance andbe your best, and our AI agents accelerate your impact so you cando your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions. The typical base salary range for this position is $172,500 - $260,100 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.

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