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Citylitics Inc.
Citylitics Inc.
11 – 50 Angajați
ConsultanțăInteligență artificială
Citylitics Inc. combină inteligența artificială, expertiza în consultanță și analiza datelor la scară largă pentru a-i ajuta pe liderii din industria infrastructurii să înțeleagă piețele locale de utilități și infrastructură publică din America de Nord. Motorul său de date utilizează informații din peste 31.000 de surse ale orașelor și companiilor de utilități, transformând semnalele complexe ale pieței în informații practice despre locurile în care apar investiții în infrastructură și despre modul în care se pot dezvolta proiectele. Compania sprijină luarea unor decizii de afaceri mai bine fundamentate într-un sector care se confruntă cu nevoi considerabile de investiții pe termen lung.
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Locurile de muncă ale companiei

Data Engineer – AI Pipelines and Data Products

Build production data pipelines and agentic AI workflows for Citylitics’ infrastructure intelligence platform. Own data products from orchestration through customer-facing applications.

CACanada
90.000 $ – 110.000 $ / an
HibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăInginer de date
AirflowBigQueryCloudETLGoogle Cloud PlatformPythonReactSQLTypeScript

Descriere

  • Build high-performance, reliable, maintainable data pipelines with Airflow and BigQuery
  • Lead pipeline architecture across design, testing, deployment, monitoring, and maintenance
  • Make independent technical decisions and operate the systems you build
  • Work with analysts and stakeholders to define requirements and create scalable data models and applications
  • Manage data products end to end, from pipelines and models to backend APIs, dashboards, and applications
  • Design and run AI and agentic workflows that convert raw documents into structured data
  • Create prompts and context strategies using tool and function calling, embeddings, retrieval, and structured outputs
  • Address production requirements such as retries, idempotency, cost control, and latency
  • Maintain evaluation datasets, LLM-as-judge assessments, rule-based quality checks, and benchmarks
  • Apply evaluation findings to model, prompt, and architecture decisions
  • Improve data infrastructure and engineering processes continuously
  • Assess and adopt relevant technologies and engineering practices
  • Help define how AI coding agents support development, debugging, code review, and documentation
  • Handle additional responsibilities as assigned

Cerințe

  • Proficiency in Python and SQL
  • At least three years of experience as a Data Engineer or Software Engineer in a cloud environment
  • Experience building production data pipelines with Airflow or Cloud Composer and BigQuery
  • Knowledge of data modeling, ETL/ELT, and reliable idempotent pipeline design
  • Experience delivering LLM-powered production features or pipelines with APIs such as Gemini, Claude, or OpenAI
  • Experience with prompting, structured outputs, and tool or function calling
  • Working knowledge of agent patterns, including tool use, multi-step workflows, retrieval/RAG, and MCP
  • Understanding of production tradeoffs involving cost, latency, and failure modes
  • Daily fluent use of AI coding agents such as Claude Code or Cursor, including reviewing and verifying generated output
  • Experience with Git, CI/CD, and cloud platforms; GCP experience is preferred
  • Experience developing end-to-end data applications or dashboards with backend APIs and frontends such as React and TypeScript is a plus
  • Strong problem-solving, independent working, communication, and collaboration skills

Beneficii

  • Influence sustainable public infrastructure through work with real-world impact
  • Represent a differentiated, data-driven infrastructure platform
  • Work across infrastructure, scale-up operations, and data science
  • Join a fast-paced environment with limited corporate bureaucracy
  • Use generative AI tools and access the company’s full data universe
  • Receive in-role coaching, skills-based development, and clear internal promotion pathways
  • Work in a collaborative team that shares celebrations and support
  • Join a safe, diverse, and inclusive workplace
  • Work for an equal opportunity employer

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