Full-Stack Analytics Engineer II

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  "last_changed_at": "2026-05-29T07:01:55.013Z",
  "active_status": "active"
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  "language": "en",
  "location": {
    "raw": "Washington DC",
    "city": "Washington DC",
    "region": "DC",
    "country": "United States",
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{
  "lists": [
    {
      "text": "Primary Duties",
      "content": "<div>\n<ol>\n<li><strong><span style=\"font-size: 11pt;\">Data Ingestion &amp; Modeling (40%):</span></strong><span style=\"font-size: 11pt;\"> 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.</span></li>\n<li><strong><span style=\"font-size: 11pt;\">Full-Stack &amp; GenAI Development (40%):</span></strong><span style=\"font-size: 11pt;\"> Leverage Claude Code and other GenAI tools to build the middle data layer and app layer, creating interactive dashboards and beautiful UI visuals that go beyond traditional reporting to surface insights. </span></li>\n<li><strong style=\"font-family: Meta, sans-serif; font-size: 14px;\"><span style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">Analytics &amp; Strategy (20%):</span></strong><span style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\"> Analyze complex datasets to identify trends and perform root cause analysis, collaborating with cross-functional leaders to iterate key performance indicators while implementing strict privacy-by-design (PII minimization, RBAC).</span></li>\n</ol>\n</div>"
    },
    {
      "text": "Minimum Qualifications",
      "content": "<div>\n\n<li><span style=\"font-size: 11pt;\">3+ years of experience as an Analytics Engineer, Data Engineer, or in a related field delivering production-grade data models and durable data products.</span></li>\n<li><span style=\"font-size: 11pt;\">Expert SQL skills; deep experience with dbt and dimensional/event-temporal modeling.</span></li>\n<li><span style=\"font-size: 11pt;\">Demonstrated ambidexterity in using Claude Code and other generative AI tools to accelerate full-stack development, data modeling, and UI creation.</span></li>\n<li><span style=\"font-size: 11pt;\">Hands-on experience with a cloud warehouse (Snowflake/BigQuery) and an orchestrator (Dagster/Prefect/Airflow).</span></li>\n<li><span style=\"font-size: 11pt;\">Proficient in Python or R for data transformations, statistical analysis, and automation.</span></li>\n<li><span style=\"font-size: 11pt;\">Strong communication skills with a track record of translating complex analytical findings into actionable business insights.</span></li>\n\n</div>"
    },
    {
      "text": "Preferred KSA's",
      "content": "<div>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Advanced degree in Statistics, Data Science, Psychology, Economics, or related quantitative field.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Track record integrating HRIS/ATS/payroll/identity sources and hardening metrics for exec-level decisions.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">\n<p style=\"margin-top: 0pt; margin-bottom: 18pt;\"><span style=\"font-size: 11pt;\">Familiarity with data privacy regulations (GDPR/CCPA) and ethical considerations in analytics.</span></p>\n</li>\n\n<p style=\"margin-top: 0pt; margin-bottom: 8pt;\"><strong><span style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">Domain Specific Experience</span></strong></p>\n<p style=\"margin-top: 0pt; margin-bottom: 8pt;\"><strong><span style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">Full Stack:</span></strong></p>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f; margin-left: 3pt;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Experience building full stack web applications and beautiful UIs to surface data insights.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">\n<p style=\"margin-top: 0pt; margin-bottom: 18pt;\"><span style=\"font-size: 11pt;\">Proficiency in applying GenAI tools to streamline both data engineering and frontend app development.</span></p>\n</li>\n\n<p style=\"margin-top: 0pt; margin-bottom: 8pt;\"><strong><span style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">Data Infrastructure:</span></strong></p>\n<ul style=\"margin-top: 0px; margin-bottom: 0px; padding-inline-start: 48px;\">\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f; margin-left: 3pt;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Experience in designing, building and optimizing data pipelines and ETL processes.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f; margin-left: 3pt;\">\n<p style=\"margin-top: 0pt; margin-bottom: 0pt;\"><span style=\"font-size: 11pt;\">Experience building continuous integration and continuous deployment (CI/CD) pipelines.</span></p>\n</li>\n<li style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f; margin-left: 3pt;\">\n<p style=\"margin-top: 0pt; margin-bottom: 18pt;\"><span style=\"font-size: 11pt;\">Experience with security and systems that handle sensitive data.</span></p>\n</li>\n\n</ul></ul></ul></div>"
    },
    {
      "text": "Physical Requirements",
      "content": "<div><span style=\"font-size: 11pt; font-family: Arial, sans-serif; color: #1f1f1f;\">Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and Lifting may be required.</span></div>"
    }
  ],
  "country": "US",
  "createdAt": 1777402392252,
  "updatedAt": null,
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