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Full-Stack Analytics Engineer II

Aledade - Washington DC

Posted Apr 28, 2026

Benefits

Parental leave
Not verified not verified - source URL not recorded
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
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Childcare support
Not verified
Learning budget
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Verification
Not verified checked Jun 7, 2026
Salary
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401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$111,944 U.S. median for this role
Projected growth (BLS Employment Projections)
+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Data From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Full-Stack Analytics Engineer II Washington DC You will be the hands-on owner of our analytics and data ecosystem, transforming complex data into actionable insights that drive strategic decision-making. In this role, you will manage, build, maintain, and ingest data from various source systems (such as HRIS, ATS, and Identity). We are looking for an ambidextrous engineer who is highly proficient in using Claude Code and other GenAI tools to rapidly build both the middle data layer (canonical models, semantic layers) and the app layer. Through this hybrid approach, you will surface insights and create beautiful UI visuals that translate complex data into clear, compelling narratives for end users. You will be the hands-on owner of our analytics and data ecosystem, transforming complex data into actionable insights that drive strategic decision-making. In this role, you will manage, build, maintain, and ingest data from various source systems (such as HRIS, ATS, and Identity). We are looking for an ambidextrous engineer who is highly proficient in using Claude Code and other GenAI tools to rapidly build both the middle data layer (canonical models, semantic layers) and the app layer. Through this hybrid approach, you will surface insights and create beautiful UI visuals that translate complex data into clear, compelling narratives for end users. Primary Duties - Data Ingestion & Modeling (40%): Partner with Data Platform/IT to ingest data from diverse source systems; own the "T" in ELT using dbt, implementing tests, lineage, and data contracts. - Full-Stack & GenAI Development (40%): Leverage Claude

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