Build data pipelines and AI-integrated platforms that help teams analyze large volumes of data. In this onsite role in Bellevue, WA, you’ll design the tools and infrastructure behind data warehousing, partner with stakeholders to shape solutions for key business questions, and apply Generative AI to improve data source discovery and pipeline development.
This position emphasizes hands-on engineering impact. As a Data Engineer, you’ll use technology to tackle complex problems while delivering capabilities that support stakeholders with self-service and intelligent assistance.
What you’ll do
- Design tools and infrastructure for analyzing large volumes of data
- Help address big data warehousing challenges
- Collaborate with stakeholders to design and implement data solutions for priority business questions
- Use Generative AI to optimize data source discovery and pipeline development
- Build intelligent agents that help Business Intelligence Engineers and Scientists identify emerging opportunities
- Create self-service capabilities for stakeholders
- Develop AI-integrated data platforms
Key requirements
- 1+ years of data engineering experience
- Experience with data modeling, warehousing, and building ETL pipelines
- Experience with one or more query languages, such as SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, or Scala
- Experience with one or more scripting languages, such as Python or KornShell
Preferred qualifications
- Experience with big data technologies including Hadoop, Hive, Spark, or EMR
- Experience with ETL tools such as Informatica, ODI, SSIS, BODI, or Datastage
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance including medical, dental, vision, prescription, Basic Life & AD&D, plus options for Supplemental life plans
- EAP and Mental Health Support
- Medical Advice Line
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- 401(k) matching
- Paid time off
- Parental leave
Compensation: USD 101,300 - 160,000 per year.
Location: Bellevue, WA (onsite).
Technologies you may work with: SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell, Hadoop, Hive, Spark, EMR, Informatica, ODI, SSIS, BODI, Datastage, Generative AI.
