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About the Role

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.

Responsibilities

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.

Requirements

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.
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.
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.
Candidates extended an offer will be required to undergo pre-employment screening that includes checking references, a four-panel drug screening that excludes marijuana testing, employment verification & criminal background check.

Skills

SQL
Python
ETL/ELT
CI/CD
Data Modeling
Performance Optimization
Query Tuning
Cloud Platforms
Data Governance
Data Security
Version Control

Location

Denver, CO

Work Type

In-office
Full-time

Experience Level

Senior
8+ years of experience
5+ years focused on data engineering

Education Level

Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.

Salary/Compensations

USD 125,000 - USD 145,000 yearly
plus annual bonus

Benefits

25% Discounted Rent at AIR communities
Medical, dental, vision, and life insurance options
HSA with company sponsored 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
Paid Sick Time
Tuition Assistance Program
Commuter Benefits
Pet-Insurance
Up to 100% Reimbursement on Professional Certification/Licensing
Paid parental leave of up to 16 weeks
Consumer discounts
15 hours of paid time annually to give-back to your community
Opportunities for professional development and career growth

About the Company

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.

Equal Opportunity

AIR values diversity and provides equal employment opportunities to all employees and applicants for employment.
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.