Senior Data Engineer: Cloud Pipelines & Data Platform

AIR Communities

Denver (CO)

Sur place

USD 125 000 - 145 000

Plein temps

14 jours+

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Un CV et une lettre de motivation personnalisés, prêts à envoyer.

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Avantages offerts par ce poste

Discounted Rent
Medical, dental, vision, and life
HSA contributions
401(k) matching
Paid Vacation and Holidays
Tuition Assistance
Commuter Benefits
Professional Certification support
Parental leave
Employee discounts

Résumé du poste

AIR Communities in Denver, CO is seeking an experienced Senior Data Engineer to design, build, and optimize modern data pipelines and cloud-based data platforms. This role supports analytics, machine learning, and business applications across the organization.

The ideal candidate has a deep background in scalable data infrastructure, with 8+ years in data roles and 5+ years in data engineering. This is an in-office role at AIR Communities’ Denver Tech Center campus.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
  • 8+ years of experience in data or related engineering roles, with 5+ years focused on data engineering.
  • Advanced proficiency in SQL and/or Python for data processing, transformation, and automation.
  • Hands-on experience building and optimizing data pipelines and integration workflows.
  • Strong understanding of data modeling, performance optimization, and query tuning.
  • Experience working with cloud platforms and their data ecosystems.
  • Knowledge of ETL/ELT concepts, orchestration patterns, and automated data workflows.
  • Understanding of data governance, security, and handling sensitive or regulated data (e.g., PII).
  • Experience with version control and CI/CD practices.
  • Strong problem-solving skills and comfort working with complex or unstructured datasets.
  • Strong analytical and troubleshooting abilities, including root-cause analysis.

Responsabilités

  • Design, develop, and maintain scalable data pipelines for ingesting, transforming, and delivering large and diverse datasets.
  • Write efficient, reusable SQL and/or Python code for data ingestion, transformation, automation, and integration.
  • Optimize data workflows for performance, reliability, security, and cost‑efficiency in cloud environments.
  • Collaborate with data scientists, analysts, application teams, and business stakeholders to understand data needs and deliver solutions.
  • Implement data governance and security practices across pipeline components and data assets.
  • Monitor data flows, troubleshoot issues, and ensure data quality, availability, and integrity.
  • Integrate data from a wide range of internal and external sources into centralized data platforms.
  • Contribute to knowledge sharing and provide guidance to less‑experienced engineers when needed.
  • Stay informed on emerging tools and architectures and contribute insights for continuous improvement.
  • Perform performance tuning and optimization across ingestion, transformation, and storage layers.

Connaissances

SQL
Python
Data pipelines
Cloud platforms
ETL/ELT concepts
Data governance
CI/CD practices
Data security
Problem solving
Analytical skills

Formation

Bachelor's degree in Computer Science or Engineering

Outils

Git
CI/CD tooling

Description du poste

AIR Communities in Denver, CO is seeking an experienced Senior Data Engineer to design, build, and optimize modern data pipelines and cloud-based data platforms. This role supports analytics, machine learning, and business applications across the organization.

The ideal candidate has a deep background in scalable data infrastructure, with 8+ years in data roles and 5+ years in data engineering. This is an in-office role at AIR Communities’ Denver Tech Center campus.

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