Lead Software Engineer
Bellevue, WA · On-site
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 ...
Bellevue, WA · On-site
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 ...
Bellevue, WA · On-site
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 ...
Senior Machine Learning Engineer, Data Infrastructure Unity Vector builds an Data platform that ... Our systems operate at scale across batch and streaming data, supporting analytics, product ...
Senior Machine Learning Engineer, Data Infrastructure Unity Vector builds an Data platform that ... Our systems operate at scale across batch and streaming data, supporting analytics, product ...
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 ...
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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 ...
Seattle, WA · On-site +1
$140K - $185K/yr
The Software Development Manager will lead an engineering team for Amazon MSK, a fully managed service that helps customers process streaming data using Apache Kafka. This role requires enthusiasm ...
Seattle, WA · On-site +1
$140K - $185K/yr
The Software Development Manager will lead an engineering team for Amazon MSK, a fully managed service that helps customers process streaming data using Apache Kafka. This role requires enthusiasm ...
Seattle, WA · On-site +1
$140K - $185K/yr
The Software Development Manager will lead an engineering team for Amazon MSK, a fully managed service that helps customers process streaming data using Apache Kafka. This role requires enthusiasm ...
Seattle, WA · On-site +1
$140K - $185K/yr
The Software Development Manager will lead an engineering team for Amazon MSK, a fully managed service that helps customers process streaming data using Apache Kafka. This role requires enthusiasm ...
... data streams from multiple ground sites around the world -Implement life-cycle management ... engineers to automate scientific instruments to validate RF communication links in a lab ...
... data streams from multiple ground sites around the world -Implement life-cycle management ... engineers to automate scientific instruments to validate RF communication links in a lab ...
Seattle, WA · On-site
$130K - $156K/yr
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and ... programming language, such as Python, Java, Scala, or NodeJS - Experience with big data ...
Seattle, WA · On-site
$130K - $156K/yr
Prime Video is a premium streaming service that offers customers a vast collection of TV shows and ... programming language, such as Python, Java, Scala, or NodeJS - Experience with big data ...
... data streams from multiple ground sites around the world -Implement life-cycle management ... engineers to automate scientific instruments to validate RF communication links in a lab ...
... data streams from multiple ground sites around the world -Implement life-cycle management ... engineers to automate scientific instruments to validate RF communication links in a lab ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
Pillar 1: Data Engineering & Observability Build and own large-scale data pipelines and ... Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data ...
Pillar 1: Data Engineering & Observability Build and own large-scale data pipelines and ... Experience designing and operating large-scale data pipelines, ETL workflows, or streaming data ...
... The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
... The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
... The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
... The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
The streaming data landscape is evolving rapidly: generative AI workloads demand sub-millisecond ... software engineering best practices to ensure the standard of quality of all team deliverables ...
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
Seattle, WA · On-site
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
Seattle, WA · On-site
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
Seattle, WA · On-site
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
Seattle, WA · On-site
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
Redmond, WA · On-site
$59 - $81/hr
Job Title - Platform Engineer Job Location - Redmond, WA (100% onsite role) Hire type -Full-time ... and build streams Provide on-call support during business hours Assess level of urgency and ...
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Redmond, WA · On-site
$59 - $81/hr
Job Title - Platform Engineer Job Location - Redmond, WA (100% onsite role) Hire type -Full-time ... and build streams Provide on-call support during business hours Assess level of urgency and ...
As a systems development engineer, you will work on a variety of projects and multifunctional ... data streams from multiple ground sites around the world - Implement life-cycle management ...
As a systems development engineer, you will work on a variety of projects and multifunctional ... data streams from multiple ground sites around the world - Implement life-cycle management ...
$50.6K - $64.4K
0% of jobs
$64.4K - $78.2K
1% of jobs
$78.2K - $91.9K
3% of jobs
$91.9K - $105.7K
4% of jobs
$105.7K - $119.4K
7% of jobs
$131.5K is the 25th percentile. Wages below this are outliers.
$119.4K - $133.2K
11% of jobs
$133.2K - $147K
12% of jobs
The median wage is $150.6K / yr.
$147K - $160.7K
45% of jobs
$160.7K - $174.5K
8% of jobs
$174.5K - $188.2K
5% of jobs
$188.2K - $202K
3% of jobs
$50.6K
$147.6K
$202K
| Aspect | Entry Level Streaming Data Engineer | Data Analyst |
|---|---|---|
| Required Skills | Knowledge of streaming platforms (e.g., Kafka, Spark), basic programming, data modeling | Data visualization, SQL, statistical analysis, Excel |
| Certifications | Optional certifications in data engineering or cloud platforms | Certifications in data analysis or business intelligence tools |
| Work Environment | Developing real-time data pipelines, working with streaming data systems | Interpreting data, creating reports, supporting decision-making |
| Industry Usage | Tech, finance, e-commerce, where real-time data processing is critical | Marketing, 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.
For Entry Level Streaming Data Engineer jobs in Seattle, WA, the most frequently searched job titles are:
The top searched job categories for Entry Level Streaming Data Engineer jobs in Seattle, WA are:
Cities near Seattle, WA with the most Entry Level Streaming Data Engineer job openings:

Full-time
Medical, Dental, Vision, Life, Retirement
Re-posted 12 days ago
8.1
Based on 58 frontline employees who took The Breakroom Quiz
113th of 245 rated software companies
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 EngineeringJob 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.Get the full story on Breakroom