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2 дня назад

Analytics Engineer (AI)

113 000 - 132 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Analytics Engineer (AI/Databricks): Building production data pipelines, curated datasets, dashboards, and automation for Decision Science, Business Intelligence, and client analytics with an accent on data quality, scalable processing, and AI-assisted engineering. Focus on designing event-based data structures, optimizing Spark workloads, implementing CI/CD and automated testing, and translating complex business questions into reliable data solutions.

Location: Denver, Colorado; hybrid with three days in the office on Tuesday, Wednesday, and Thursday. Candidates must live in the United States.

Base compensation range: $113,000–$132,000 annually. Equity is included in the overall compensation package.

Company

hirify.global is a performance marketing platform that enables brands to deliver digital promotions through the hirify.global Performance Network, connecting marketers with more than 200 million consumers.

What you will do

  • Design, build, and orchestrate production data pipelines, dashboards, curated datasets, and analytical automation using Databricks and Airflow.
  • Optimize data lake structures, scalable tables, event-based data models, and large-scale Spark processing for Decision Science and Business Intelligence.
  • Partner with Decision Scientists to prepare datasets for advanced modeling, machine learning, and predictive analytics.
  • Own data quality, reliability, governance, automated testing, validation, anomaly detection, and change management.
  • Establish CI/CD, self-service data patterns, automation tools, and AI-assisted workflows using Claude skills and plugins.
  • Lead complex analytical projects, modernize data services, represent data engineering standards, and mentor associate engineers.

Requirements

  • 3–5 years of experience in analytics engineering, data engineering, or a highly technical analytics/BI role.
  • Bachelor’s degree in Computer Science, Engineering, Analytics, Statistics, Economics, or a related field.
  • Expert-level SQL and proficient Python, with hands-on experience building production-grade pipelines and automation.
  • Experience with Databricks, including DABs, Spark, cluster configuration, and optimization of large-scale data processing.
  • Understanding of ETL/ELT patterns and modern data stack tools including Airflow, dbt, and cloud data warehouses.
  • Experience with automated testing, CI/CD using GitHub Enterprise or GitHub Actions, data validation, and anomaly detection.
  • Proficiency with Looker/LookML and AI-assisted tools including Claude, Cursor, Copilot, and Databricks Genie.
  • Ability to translate ambiguous business problems into technical data solutions, establish self-service patterns, set standards, and manage cross-functional priorities in an Agile environment.
  • Clear communication, continuous learning, iterative delivery, healthy technical debate, independent time management, and the ability to multitask.

Culture & Benefits

  • Hybrid work arrangement based in Denver with a relocation bonus available for candidates moving to the city.
  • Flexible time off and medical, dental, and vision benefits.
  • Employee Stock Purchase Program and 401(k) match.
  • Denver office perks include paid parking, snacks, and occasional meals.
  • Work environment centered on integrity, boldness, ownership, teamwork, transparency, continuous learning, and technical excellence.
  • Applicants must be currently authorized to work full-time in the United States.

Hiring process

  • Applications are accepted until the position is filled.
  • hirify.global does not accept agency resumes or unsolicited resumes forwarded to employees.

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