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Текст:
Hirify AI/Оригинал
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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