UST is looking for an Associate Data Engineer (Early Career Talent) to join their full-time team in Bellevue, WA. This role offers recent graduates and those with early professional experience a chance to build scalable data pipelines in a cloud-native environment, gaining valuable skills in AI-assisted development and working with leading data technologies.
Job Snapshot
Company: UST
Role: Associate Data Engineer (Early Career Talent)
Location: Bellevue, WA
Work Type: Full-time
Pay Range: $80,000 – $100,000 / year
🔥 DSFOR Insider Take: Why This Role Matters
This Associate Data Engineer role at UST is a strong launchpad for early-career professionals in the data space. UST, a “born digital” company, emphasizes innovation and human-centered solutions, which means you’ll contribute to impactful projects rather than just maintaining legacy systems. You’ll gain hands-on experience building scalable data pipelines in a cloud-native environment, which are highly sought-after skills in today’s market. The focus on AI-assisted development is particularly valuable, preparing you for the future of engineering. This position sets you up to become a core data contributor, opening doors to more specialized data engineering roles or even data science as your career progresses. You’ll develop robust problem-solving abilities working on real-world challenges.
💻 The Tech Stack
You don’t need to be an expert in all of these, but familiarity with the following will make your application stand out:
- Languages: Python, SQL
- Data Platforms: Snowflake, Databricks, DBT (data build tool)
- Cloud & DevOps: Microsoft Azure, Azure DevOps
- Core Skills: Data pipelines, ETL/ELT, Data Validation, AI coding tools, Software Development
Role Overview & Responsibilities
As an Associate Data Engineer, you will contribute to building and optimizing data infrastructure, collaborating with a team focused on delivering high-impact, human-centered solutions. Your primary goal will be to develop robust data pipelines that drive business intelligence and innovation.
- Build and optimize scalable data pipelines in a cloud-native environment.
- Utilize AI-assisted development tools and techniques to enhance efficiency and innovation.
- Develop, test, and maintain ETL/ELT processes for various data sources.
- Ensure data quality and integrity through rigorous data validation methods.
- Collaborate with senior engineers and other stakeholders to understand data requirements and deliver solutions.
- Apply strong fundamentals in software development to create robust and efficient data solutions.
Requirements
- Entry-level experience, suitable for recent graduates or early-career professionals.
- Strong foundational knowledge in software development.
- Proficiency with AI coding tools.
- Demonstrated strong problem-solving and learning ability.
- Experience or strong academic background in data pipelines, SQL, and Python.
- Candidates from top-tier universities or with internship/work experience at leading technology companies are highly preferred.
📅 What to Expect
You’ll join an entrepreneurial team within UST, empowered to innovate and create sustainable impact for clients. The environment is described as fast-paced and cloud-native, suggesting a focus on modern technologies and agile methodologies. You can expect to work with experienced engineers, learn on the job, and contribute to projects that require creative thinking and practical problem-solving. UST fosters a culture of Humility, Humanity, and Integrity, prioritizing a people-first approach and sustainable solutions, which implies a supportive and ethical work environment.
This is an on-site, full-time position located in Bellevue, WA.
🎯 Application & Resume Tips for UST
Highlight Problem-Solving & Learning: Since UST specifically looks for strong problem-solving and learning ability, use your resume to showcase projects where you overcame technical challenges or quickly picked up new technologies. Detail the impact of your solutions.
Emphasize Relevant Technologies: Clearly list any experience with Python, SQL, Snowflake, Databricks, DBT, or Azure. Even academic projects or personal side projects demonstrating these skills are valuable. If you have experience with AI coding tools, make sure that stands out.
Tailor Your Experience for “Early Career”: Frame your internships, academic projects, or any work experience to highlight transferable skills like building data pipelines, data validation, or software development fundamentals, emphasizing your readiness for an entry-level engineering role.
📎 How to Apply
Review the requirements above and ensure your resume reflects the key skills highlighted in this role. Applications are reviewed on a rolling basis, so applying early is strongly recommended.
