Senior Data Engineer

AIR Communities; Denver (CO); On-site; USD 125,000 - 145,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

401(K) contributions

Paid vacation

Job summary

AIR Communities in Denver, CO is seeking an experienced Senior Data Engineer to design, build, and optimize data pipelines and cloud‑based platforms that support analytics, machine learning, and essential business applications across the organization.

You will collaborate with data scientists, analysts, application teams, and stakeholders to deliver robust data solutions, implement governance, and drive reliable, cost‑effective data architectures.

Qualifications

• 8+ years in data or related engineering roles, 5+ years in data engineering.
• Strong SQL and/or Python for data processing and automation.
• Hands-on experience building and optimizing data pipelines and integration workflows.
• Experience with cloud data ecosystems and data governance concepts.

Responsibilities

• Design, develop, and maintain scalable data pipelines for ingestion, transformation, and delivery of large datasets.
• Write efficient SQL/Python code for data processing and automation.
• Optimize data workflows for performance, security, and cost in the cloud.
• Collaborate with data scientists, analysts, and business stakeholders to meet data needs.
• Implement data governance and security across pipelines and data assets.
• Monitor data flows, troubleshoot issues, and ensure data quality and availability.

Skills

SQL

Python

Data pipelines

Cloud knowledge

CI/CD

Problem-solving

Education

Bachelor's degree in Computer Science / Engineering or related field

Tools

AWS

Google Cloud Platform

Azure

Job description

About AIR Communities

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. Our corporate office is located in the Denver Tech Center, spanning the top two floors of the building with expansive views of the mountains and downtown skyline. This position will be in‑office five days a week to support operations.

Job Summary

We are seeking an experienced Senior Data Engineer to join our dynamic data team. The role focuses on designing, building, and optimizing modern data pipelines and cloud‑based data platforms to support 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.

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.

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 working across cross‑functional teams.
• Adaptability and resilience when navigating ambiguity or shifting priorities.
• Proactive problem‑solver who identifies opportunities and drives solutions forward.
• Strong sense of ownership and commitment to delivering high‑quality engineering work.
• Growth mindset with ongoing curiosity and a desire to improve tools, processes, and personal skills.

Benefits

• Expected pay rate of $125,000 – $145,000 plus annual bonus.
• 25% discounted rent at AIR Communities (certain exclusions apply, and an application is required).
• Medical, dental, vision, and life insurance options available. HSA with company contributions, FSA (traditional and dependent care FSA).
• Short and long‑term disability paid by the company.
• 401(K) plus company contributions.
• Paid vacation, 14 paid holidays, and paid sick time.
• Tuition assistance program.
• Commuter benefits and pet insurance.
• Up to 100% reimbursement on professional certification/licensing for job‑related curricula.
• Paid parental leave of up to 16 weeks following the birth or adoption of a child.
• Consumer discounts from various products and services (travel, wireless phones, health and fitness, home appliances, and more).
• 15 hours of paid time annually to give back to your community.
• Opportunities for professional development and career growth, including realistic job previews, in‑person and virtual leadership training, and performance improvement courses.

Application Information

Application Deadline: May 11, 2026 (submissions after this date may still be considered on a rolling basis until the position is filled).

All applications will be screened for pre‑employment checks, including references, a four‑panel drug screening (excluding marijuana testing), employment verification, and a criminal background check.

AIR values diversity and offers equal employment opportunities to all employees and applicants. AIR prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.