Lead Data Engineer

Aircommunities; Denver (CO); On-site; USD 135,000 - 160,000; Full time

Benefits offered by this job

25% discounted rent at AIRcommunities

Medical, dental, vision, and life insurance options

401(k) with company contributions

Job summary

AIR Communities in Denver, CO is looking for a skilled Lead Data Engineer to join their dynamic data team. You will be responsible for designing and optimizing data pipelines, collaborating with various stakeholders, and ensuring data quality across the organization.

The ideal candidate should have extensive experience in data engineering and proactivity in adopting new tools and technologies. This in-office role offers a salary of $135,000 - $160,000 and numerous benefits, including tuition assistance and paid parental leave.

Qualifications

• 12–14+ years of experience in data or related engineering roles, with 8+ years focused on data engineering.
• Hands-on experience building and optimizing data pipelines.
• Strong understanding of data governance and security.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Collaborate with data scientists and business stakeholders.
• Monitor data flows and ensure data quality and integrity.

Skills

SQL

Python

Data modeling

Performance optimization

Cloud platforms

Education

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

Tools

ETL/ELT concepts

CI/CD practices

Job description

• Compensation: USD 135,000 - USD 160,000 - yearly

Company Description

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.

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.

Job Description

We are seeking a highly skilled Lead Data Engineer to join our dynamic data team. The ideal candidate has extensive experience designing, building, and optimizing modern data pipelines and cloud-based data platforms. In this role, you will help shape scalable data infrastructure that supports analytics, machine learning, and business‑critical applications across the organization.

What you will do

• Design, develop, and maintain scalable data pipelines to ingest, transform, and deliver large and diverse datasets.
• Write efficient, reusable SQL and/or Python for data ingestion, transformation, 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 requirements and deliver technical 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 various internal and external sources into centralized data platforms.
• Provide technical leadership, mentor junior engineers, and support knowledge‑sharing within the team.
• Evaluate emerging tools and architectures, recommending improvements to existing systems and processes.
• Conduct performance tuning and optimization across ingestion, transformation, and storage layers.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.
• 12–14+ years of experience in data or related engineering roles, with 8+ 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 ecosystem.
• Knowledge of ETL/ELT concepts, orchestration patterns, and automated data workflows.
• Understanding of data governance, data security, and handling sensitive or regulated data (e.g., PII).
• Experience with version control and CI/CD practices.
• Strong problem‑solving abilities with experience in complex or unstructured data environments.
• Strong analytical and troubleshooting skills, 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 leadership and mentorship abilities, with a focus on elevating team capability and fostering knowledge sharing.
• Strategic thinking and the ability to align engineering work with broader business objectives.
• Effective communication skills, including the ability to translate technical concepts for non‑technical audiences.
• Collaboration‑oriented mindset, thriving in cross‑functional environments with product, analytics, and engineering partners.
• Adaptability and resilience in navigating ambiguity, shifting priorities, or evolving technical landscapes.
• Proactive initiative, consistently identifying opportunities for improvement and driving solutions forward.
• Commitment to quality and craft, with a strong sense of ownership over system performance and reliability.
• Growth mindset, continuously seeking new knowledge, tools, and approaches to improve team outcomes.

Benefits

• Expected pay rate of $135,000- $160,000 plus annual bonus. You will be provided a pay rate that is in line with your skills and experience as they relate to the requirements of the job.
• 25% discounted rent at AIRcommunities (certain exclusions apply, and an application is required).
• Medical, dental, vision, and life insurance options available. 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, 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 including travel planning, 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.

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.