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Data Engineer Entry Level Jobs in Bothell, WA (NOW HIRING)

REST / GraphQL APIs for integrations and data synchronization. * AI tooling and automation using ... Competitive entry-level salary and benefits. * Mentorship from senior engineers and architects.

About the Team & Role We are looking for a highly motivated and high-potential entry-level Site ... data. As we scale and modernize, ensuring reliability, performance, and efficiency across our ...

About the Team & Role ​We are looking for a highly motivated and high-potential entry-level Site ... data. As we scale and modernize, ensuring reliability, performance, and efficiency across our ...

About the Team & Role We are looking for a highly motivated and high-potential entry-level Site ... data. As we scale and modernize, ensuring reliability, performance, and efficiency across our ...

... * Entry level Employment type * Full-time Job function * Engineering and Information Technology * Industries: Data Security Software Products Referrals increase your chances of interviewing at Casco ...

Entry Level Inspector

Everett, WA · On-site

$20 - $24/hr

Ability to utilize on-line data systems and electronic media along with printed materials in order ... Interprets engineering drawings, process specifications, schematic diagrams, blueprints, test ...

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Data Engineer Entry Level information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

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

As of Jul 9, 2026, the average yearly pay for data engineer entry level in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an Entry Level Data Engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

What does a Data Engineer Entry Level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

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

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Bothell, WA? The most popular types of Data Engineer jobs in Bothell, WA are:
What are popular job titles related to Data Engineer Entry Level jobs in Bothell, WA? For Data Engineer Entry Level jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Bothell, WA look for? The top searched job categories for Data Engineer Entry Level jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Engineer Entry Level jobs? Cities near Bothell, WA with the most Data Engineer Entry Level job openings:
Infographic showing various Data Engineer Entry Level job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.

Software Engineer (File System) (Seattle)

Alibaba Cloud

Seattle, WA • On-site

$156K - $256K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Get AI-powered advice on this job and more exclusive features.

This range is provided by Alibaba Cloud. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$156,000.00/yr - $256,800.00/yr

Global Talent Acquisition Talent Sourcer

In Alibaba Cloud, we provide the fundamental Cloud technology and infrastructure to help merchants, brands and other businesses that provide products, services and digital content to leverage the power of the Internet to engage with their users and customers. Our team is tasked to build the core components of Alibaba cloud storage. We have created a planetary scale distributed systems that handles hundreds of billions of requests per day and stores multiple exabytes of data. We are constantly delivering the next killer feature and tackling interesting challenges in technologies such as big-data, Cloud Native, and etc. We provide reliable, highly scalable and highly performing distributed file system services on which our users build their mission critical services.

We are seeking a highly skilled and innovative High-Performance File System Development Engineer to join our team. You will play a crucial role in building next-generation file systems designed to support cutting-edge applications in Large Model Training and Autonomous Driving. You will be involved in core design, development, and optimization, tackling critical challenges such as massive data storage, high-speed data access, and distributed consistency.

Key Responsibilities:

  1. Participate in the architectural design and core module development of high-performance file systems, with a strong focus on optimizing performance for Large Model Training and Autonomous Driving workloads.
  2. Conduct performance analysis and tuning, resolving bottlenecks related to high concurrency, low latency, and high throughput.
  3. Design and implement efficient data storage, access, and management mechanisms, optimizing I/O paths for maximum efficiency.
  4. Contribute to the development of distributed file systems, addressing challenges related to data consistency, fault tolerance, and scalability.
  5. Collaborate closely with product teams to understand business requirements and deliver innovative technical solutions.
  6. Engage in technical research and innovation, exploring new storage technologies and architectures.

Minimum Qualifications:

  1. Proficiency in C/C++ programming, with a strong foundation in data structures, algorithms, network programming, and multi-threaded programming.
  2. Solid understanding of Linux operating system principles, with experience in kernel development and debugging preferred.
  3. Strong problem-solving and analytical skills, with the ability to quickly identify and resolve complex technical issues.
  4. Excellent communication and teamwork skills, with the ability to collaborate effectively with team members.
  5. Strong passion for technology and innovation, with a willingness to embrace challenges and explore new technologies.
  6. Honest, diligent, and rigorous work ethic.
  7. Familiarity with Python or other scripting languages.

Preferred Qualifications:

  1. Experience in cloud infrastructure development, with a strong understanding of distributed storage and computing technologies.
  2. Deep understanding of the internals of open-source systems such as Linux, HBase, Cassandra, Hadoop, and Kubernetes.
  3. Experience in distributed computing environments such as MPI, Parameter Server, TensorFlow, Caffe, and PyTorch.
  4. Experience developing with Paxos, Raft, and other fault-tolerant protocols.
  5. Keen interest in emerging technologies, with a demonstrated ability to generate new ideas and innovations.

The pay range for this position at commencement of employment is expected to be between $156,000/year and $256,800/year. However, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience.

If hired, employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Seniority level

Entry level

Employment type

Full-time

Job function

Industries

Software Development

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