ZipRecruiter

Log In

2

Data Engineer Entry Level Jobs in Federal Way, WA

Point72

Cubist Quantitative Researcher

Seattle, WA

... data sources. ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous ... Programming in Python (or comparable language) and working knowledge of SQL * Strong analytical and ...

Sunbelt Controls

Intern (Sunbelt Controls)

Seattle, WA · On-site

$18 - $25/hr

Participates in the ongoing development program with other entry level engineers. * Will perform ... data analytics and fault detection diagnostics. We lead the industry with building control products ...

Sunbelt Controls

Intern (Sunbelt Controls)

Seattle, WA · On-site

$18 - $25/hr

Participates in the ongoing development program with other entry level engineers. * Will perform ... data analytics and fault detection diagnostics. We lead the industry with building control products ...

previous page

Showing results 41-60

All JobsData Engineer JobsData Engineer Entry Level JobsData Engineer Entry Level Jobs in Federal Way, WA

Data Engineer Entry Level information

See Federal Way, WA salary details

$49.7K

$144.9K

$198.2K

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

As of Aug 10, 2026, the average yearly pay for data engineer entry level in Federal Way, WA is $144,859.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,900.00 and $153,600.00 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.

Can I get a data engineer entry level job with no experience?

Entry-level data engineering positions typically require some knowledge of programming languages like Python or SQL, as well as familiarity with data tools and platforms such as Hadoop or Spark. While prior work experience is not always mandatory, having relevant coursework, certifications, or internships can improve your chances of securing an entry-level role.

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 Federal Way, WA? The most popular types of Data Engineer jobs in Federal Way, WA are:
What are popular job titles related to Data Engineer Entry Level jobs in Federal Way, WA? For Data Engineer Entry Level jobs in Federal Way, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Entry Level jobs in Federal Way, WA look for? The top searched job categories for Data Engineer Entry Level jobs in Federal Way, WA are:
What cities near Federal Way, WA are hiring for Data Engineer Entry Level jobs? Cities near Federal Way, WA with the most Data Engineer Entry Level job openings:
Data Engineer Entry Level jobs near you
Infographic showing various Data Engineer Entry Level job openings in Federal Way, WA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $144,859 per year, or $69.6 per hour.

Junior Software Engineer, AI-Native (SEATTLE ONLY)

Pipe17

Seattle, WA

Full-time

Posted 17 days ago

Job description

Junior Software Engineer, AI-Native (SEATTLE ONLY)

On-site, Seattle

We are not sponsoring any work authorizations at this time.

About Pipe17

Pipe17 is building the AI operating system for commerce. Our platform connects brands, retailers, marketplaces, warehouses, ERPs, and shipping providers to automate order operations at scale, processing millions of commerce events a day so customers eliminate manual work, cut complexity, and move faster. We build software that doesn't just help people do the work, it does the work.

The Role

We're hiring an AI-native Junior Software Engineer to build software with AI across two fronts: internal tools that make our team faster, and customer-facing product. This is not a pure internal-automation role. You'll automate the messy work that slows engineering and the business down, and you'll also ship product features and agents that customers use. We want the balance of both.

You already build with AI. You reach for coding agents and LLMs the way other engineers reach for a framework, and you have a track record of shipping real things with them, not just experimenting. AI does the heavy lifting on the platform layer; your job is to point it at the right problems and ship.

Interview note: part of the process is a live working session. You'll screen share and build with the AI tool of your choice, then we'll program together. We can provide an Anthropic API key for the interview (Claude Code, Cursor, or others) if you'd rather not use your own.

What You'll Do

  • Build software with AI across two fronts: internal tools that make the team faster, and customer-facing product features and agents.
  • Design, build, and maintain automations, lightweight APIs, CLI tools, and web utilities in JavaScript / TypeScript.
  • Build and integrate agents and AI-powered features into real workflows and the product, using Claude, Claude Code, and other LLM APIs.
  • Implement and manage MCP / API integrations between internal systems and external services (GitHub, Jira, HubSpot, NetSuite, or internal APIs).
  • Partner with product and platform engineering to turn messy problems into shipped software.
  • Troubleshoot integration and system issues across environments; write clear docs and onboard teammates to what you build.
  • Take part in design reviews, stand-ups, and sprint planning; contribute to testing for tools, APIs, and product.

What You'll Learn

Hands-on experience with:

  • Node.js / TypeScript for automation, APIs, product features, and developer tooling
  • REST / GraphQL APIs for integration and data sync
  • Building with AI: Claude, Claude Code, Codex and other LLM-based systems and agents
  • Infrastructure scripting and configuration (AWS, Terraform, Docker)
  • Authentication and authorization flows (OAuth2, API keys, JWT)
  • CI/CD automation (GitHub Actions or similar)
  • Cloud deployments (AWS Lambda, ECS, or similar containerized services)
  • Observability and monitoring (CloudWatch, Datadog, Grafana)
  • Secure, SOC 2-aligned development practices

What We're Looking For

Required

  • 1-2 years out of college in software engineering, with a strong CS background.
  • A demonstrated track record of building software with AI: agents, tools, or product you've actually shipped, not just tried.
  • Think deeply about customer challenges and problems
  • Fluency in JavaScript / TypeScript.
  • Experience building tools or automations and integrating APIs (REST, GraphQL, or webhooks).
  • Daily fluency with AI developer tools (Claude Code, Cursor, GitHub Copilot, or similar).
  • Familiarity with Git, CI/CD, and a cloud platform (AWS or similar).
  • Strong problem-solving, communication, and ownership. You ask why, challenge assumptions, and love to automate messy problems.

Nice-to-Have

  • SQL / NoSQL databases
  • Containerization (Docker) or serverless platforms
  • Python or Bash scripting
  • Interest in e-commerce or logistics tech

Why It Matters

Pipe17 powers the flow of orders and shipments for some of the fastest-growing brands in e-commerce. You'll build the tools that make our engineers faster and the product features customers feel, and you'll see how AI-assisted development scales in a real production SaaS environment.

What We Offer

  • Competitive entry-level salary and benefits
  • Mentorship from senior engineers and architects on an AI-native team
  • Real production ownership, with work that ships weekly
  • A clear path to mid-level roles in software, AI + integrations, or platform engineering

How We Work

We value clarity, curiosity, and ownership. You'll join a small, high-agency team where your work ships weekly and lands in both our internal systems and the product our customers use. We build with AI first, and we expect you to do the same.

Pipe17 is an equal opportunity employer. We celebrate diversity and are committed to an inclusive environment for all employees.

 

Apply