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Entry Level Data Engineering Jobs in Seattle, WA

Pwc

Data Engineer - Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Electrical ... 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

Seattle, WA · On-site

$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 ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Seattle, WA · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

SynergisticIT

Entry Level ML Engineer

Seattle, WA

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates REQUIRED SKILLS ... Engineering, Information Systems, IT Knowledge of Core Java , javascript , C++ or software ...

SynergisticIT

Java Developer

Seattle, WA

$95K - $150K/yr

Entry-Level Java Developer (Spring Boot, Microservices, DevOps) We are looking for multiple ... Oracle CloudWorld Event - Showcases innovation in BI and data engineering. * Oracle CloudWorld ...

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Entry Level Data Engineering information

See Seattle, WA salary details

$13

$23

$35

How much do entry level data engineering jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for entry level data engineering in Seattle, WA is $23.03, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $24.90 per hour, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Highly experienced data engineers working in senior or specialized roles at large tech companies or financial institutions can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. Such compensation typically requires advanced skills in cloud platforms, big data tools, and extensive industry experience. These roles are rare and usually involve leadership responsibilities or niche expertise.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining data infrastructure, and their skills in programming, database management, and system architecture remain in high demand. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

What is an Entry Level Data Engineering job?

An Entry Level Data Engineering job involves designing, building, and maintaining data pipelines that collect, process, and store data for analysis. Professionals in this role work with databases, ETL (Extract, Transform, Load) processes, and cloud platforms to ensure data is accessible and reliable. They often collaborate with data analysts and scientists to support business intelligence and machine learning initiatives. Common skills include SQL, Python, and experience with big data tools like Apache Spark or AWS. This role serves as a foundation for more advanced data engineering positions.

What types of projects and tasks can I expect to work on as an Entry Level Data Engineer?

As an Entry Level Data Engineer, you will typically assist with building data pipelines, cleaning and preparing data for analysis, and supporting the migration of data into cloud or on-premises data warehouses. Your daily tasks may include collaborating with data analysts, troubleshooting data quality issues, and learning to automate data flow processes. You’ll often work alongside more senior engineers, gaining exposure to real-world datasets and the software engineering practices that keep data infrastructure running smoothly. This hands-on experience offers a solid foundation for advanced data engineering roles as your career progresses.

Can I get a data engineer job with no experience?

Entry level data engineering roles typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data storage and processing tools such as Hadoop or Spark. While prior experience is often preferred, candidates with relevant internships, certifications, or strong technical skills can sometimes qualify for entry-level positions. Building a solid foundation in data concepts and gaining hands-on experience can improve chances of securing such roles.

What are the key skills and qualifications needed to thrive in the Entry Level Data Engineering position, and why are they important?

To thrive as an Entry Level Data Engineer, you need a solid understanding of programming languages like Python or SQL, basic data modeling, and a relevant degree such as computer science or information technology. Familiarity with ETL tools, cloud platforms like AWS or Azure, and introductory certifications in big data technologies can be advantageous. Attention to detail, strong problem-solving abilities, and effective communication skills are valuable soft skills for this role. These competencies enable you to process and manage large data sets accurately, collaborate with teams, and support data-driven decision-making.

Is data engineering an entry level job?

Data engineering can be an entry level role, especially for those with foundational skills in programming, databases, and cloud platforms. However, many positions require some experience with data pipelines, scripting, and tools like SQL, Python, or Spark, so entry-level candidates should focus on developing these skills and relevant certifications.
What are the most commonly searched types of Data Engineering jobs in Seattle, WA? The most popular types of Data Engineering jobs in Seattle, WA are:
What are popular job titles related to Entry Level Data Engineering jobs in Seattle, WA? For Entry Level Data Engineering jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Engineering jobs in Seattle, WA look for? The top searched job categories for Entry Level Data Engineering jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Entry Level Data Engineering jobs? Cities near Seattle, WA with the most Entry Level Data Engineering job openings:
Entry Level Data Engineering jobs near you
Entry level Java spring boot developer/ data scientist

Entry level Java spring boot developer/ data scientist

SynergisticIT

Seattle, WA

$59 - $80.75/hr

Other

Posted 29 days ago

Job description

CS/IT Graduates or About to be Grads. Get Hired by following a Process!
Graduating with a CS degree is impressive - but it's not enough anymore. Employers want hands-on experience, real projects, and interview-ready candidates.
Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. Despite layoffs and market shifts, the tech industry still needs skilled developers. The challenge is proving you're ready to contribute. A CS degree gives you a foundation, but employers want more - they want proof you can apply your knowledge in real-world scenarios.
If you just graduated (or you're about to) and the job search is already feeling confusing, you're not imagining it. A degree proves you can learn-but employers hire for job readiness: projects that look like real work, current tech stacks, interview confidence, and the ability to contribute on day one. That's why many new grads send hundreds of applications and still hear nothing back. It's not because you're "not smart enough." It's because most entry-level pipelines are crowded, and hiring teams filter heavily for candidates who look production-ready.
We are actively considering candidates for entry-level software engineering and data roles, especially Java full stack, Java/Python development, DevOps automation, data analytics, data engineering, data science, and ML/AI-full-time opportunities aligned to client needs. Our core emphasis remains Java/Full Stack/DevOps and Data/Analytics/Engineering/ML.
SynergisticIT focuses on two high-demand lanes: Java / Full Stack / DevOps and Data (Data Analyst, Data Engineer, Data Scientist) + ML/AI-so you don't graduate with scattered skills, you graduate with an employable stack.
SynergisticIT since 2010, has helped candidates land full-time roles at major organizations ( including Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Banking, Wayfair, Client, Client, and more) with offers commonly in the $95k-$154k range depending on role and skill depth. For a new grad, the bigger message isn't the number-it's that results require a structured pathway, not random applications.
Here's a realistic way to think about your advantage as a fresh graduate: you're early enough to build the right foundation before bad habits set in. If you master fundamentals-coding, debugging, data structures, system thinking-and then layer modern tools on top (frameworks, cloud, CI/CD, analytics stacks), you become the kind of "entry-level" candidate who actually feels like a safe hire.
What roles are companies hiring for right now? A typical market demand pattern is clear: organizations still need entry-level software programmers, Java full stack developers, Python/Java developers, DevOps-focused engineers, and on the data side data analysts, BI analysts, data engineers, data scientists, and machine learning engineers. The strongest candidates aren't "tool collectors"-they're people who can show end-to-end capability: build an API, connect a database, deploy a service, analyze data, explain results, and handle interviews calmly.
Why fresh grads get stuck-
Fresh grads often struggle for four predictable reasons:
  1. Resume doesn't match job keywords (ATS filters you out).
  2. Projects look like school assignments (not production-aligned).
  3. Interview skills are undertrained (DSA, system design, SQL, behavioral).
  4. No structured pipeline (random applying without feedback loops).
A job-placement-first approach addresses these systematically: build the right portfolio, practice the right interview questions, align your tech stack to roles, and keep improving until the market says "yes."
Who this path fits best
If you're a recent graduate, you'll likely fit if you match any of these:
  • New grads in CS, Engineering, Math, or Statistics with limited job experience
  • Students finishing Bachelor's or Master's programs who need a real hiring plan
  • Candidates who apply consistently but don't get callbacks
  • Candidates who reach interviews but struggle to close
  • International students on F-1/OPT who need a job plan for STEM extension/H-1B timing
  • Graduates with strong academics but thin practical experience
SynergisticIT helps STEM extension and work authorization pathways, and for candidates who need long-term stability, support related to H-1B and green card processes as part of employer-side realities.
If you're tired of guessing, stop treating your job search like a lottery. Treat it like a project with milestones: skills → portfolio → interview readiness → targeted applications → scheduled interviews → offer.
If you want to explore, here are the key links:
  • Event videos (OCW, JavaOne, Gartner):
  • USA Today feature
  • Contact & get a roadmap: https://www.synergisticit.com/contact-us/

Please read our blogs
Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT
What Recruiters Look for in Junior Developers | SynergisticIT
Software engineering or Data Science as a career?
Bottom line for fresh grads: Your degree is the starting line, not the finish line. If you want to get hired faster, you don't need "more random courses." You need a guided, job-focused path and the right people around you. In tech, it's not just what you learn-it's how you learn and who you build with that decides how far you go.
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume

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