Senior Data Engineer

• Compensation: USD 125,000 - USD 145,000 - yearly

Who We Are

AIR Communities
is a Multifamily Real Estate Operator headquartered in Denver, CO. We are one of the country’s largest owners and operators of multifamily housing, managing high-quality properties in most major markets.
At AIR,we value integrity, respect, collaboration, customer focus, and performance.These values are brought to life by our teammates, who are ultimately responsible for our success.

When you join our team, you'll work alongside the most dedicated professionals in the industry and
open the door to unlimited career opportunities.

Job Description

AIR is preparing for growth in 2026! We are adding to several departments in our Denver Headquarters with our anticipated growth. Are you ready to take on a new challenge?

Where You Will Work

Our corporate office is located in the
Denver Tech Center
. Our office spans the top two floors of the building and features expansive views of the mountains and the downtown skyline.

AIR values relationships and the benefits from working side by side with teammates, therefore this position will be
in-office 5 days a week
to support operations.

We are seeking an experienced Senior Data Engineer to join our dynamic data team. The ideal candidate has a deep background in designing, building, and optimizing modern data pipelines and cloud‑based data platforms. In this role, you will contribute to the development of scalable data infrastructure that supports analytics, machine learning, and essential business applications across the organization.

What you will do:

• 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.

What you should have:

• 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.

Preferred qualifications:

• Experience with distributed data processing or declarative pipeline frameworks.
• Familiarity with cloud‑native functions and workflow orchestration tools.
• Experience with data governance frameworks, metadata management, or cataloging solutions.
• Knowledge of columnar storage and big‑data file formats.
• Familiarity with modern table formats such as Parquet, Delta, or Iceberg.

Required

Soft Skills:

• Strong communication skills and the ability to articulate technical concepts clearly.
• Collaborative mindset with experience…