Amazon Web Services (AWS)

Amazon Web Services (AWS)

Business Intelligence Engineer, WWPS Reporting and Analytics Center of Excellence (RACE)

Arlington, Virginia · Junior

Sponsorship not specified$82k-$144kDetected 57 days ago
JavaScriptPythonJavaBashReactVue.jsSvelteHTMLCSSCode ReviewSQLAWSCI/CDRESTData EngineeringData VisualizationLLMsStatisticsAccessibilityOnboardingCypressPlaywrightJestResearch

Stay score

odds of building a lasting career here

53Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level II)66
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

Personalize to your clock →

H-1B wage level

the lottery is wage-weighted — each level is one more entry

Level I · 1×
Level I$92,8301 entry
Level II$118,0402 entries
Level III$143,2503 entries
Level IV$168,4594 entries

The bottom of this range ($82,300) is below the Level I prevailing wage of $92,830. An H-1B cannot be filed below the prevailing wage, so an offer at the floor of this band could not be sponsored as posted.

Based on the DOL prevailing wage for this occupation and worksite, a base salary of $118,040 would place this position at wage Level II. That figure is within the posted range, and I'd like to target it. This role classifies under "Data Scientists" for prevailing-wage purposes.

DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Washington-Arlington-Alexandria, DC-VA-MD-WV. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.

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About the role

  • Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply.
  • If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Responsibilities

  • That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
  • The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.

Requirements

  • 1+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience
  • Experience in writing SQL queries and creating business intelligence reports using Tableau, Power BI

Nice to have

  • Experience designing for accessibility and inclusivity
  • Experience contributing to serverless backends on AWS - API Gateway, Lambda, and Python
  • Experience contributing to front-end unit and integration tests (Jest, React Testing Library, Playwright, or Cypress) and maintaining them in a continuous integration pipeline
  • Familiarity with data visualization libraries (D3, Recharts, Observable Plot, Vega) and the judgment to know when to reach for them vs. a BI tool.
  • Experience integrating LLM APIs (Anthropic, OpenAI, Bedrock) into a product surface
  • Experience working with AI-powered development tools (e.g., AI-assisted IDEs, code generation tools, or similar).
  • Candidates should be comfortable leveraging AI tooling to accelerate their workflows and be able to speak to how they've integrated these technologies into their day-to-day work
  • Company - Amazon Web Services, Inc.

Skills

  • Model and transform data (SQL, Python) to power those experiences
  • Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform.

Compensation

  • $82k-$144k

Company info

  • Diverse Experiences
  • AWS values diverse experiences.
  • We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
  • Inclusive Team Culture
  • Here at AWS, it's in our nature to learn and be curious.
  • Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
  • Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
  • Mentorship & Career Growth
  • We're continuously raising our performance bar as we strive to become Earth's Best Employer.
  • Work/Life Balance

This listing is sourced directly from Amazon Web Services (AWS)'s careers page and normalized into a canonical job model.