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Lead Data Engineer

Pay
$135,000–160,000Pay period needs review. Plus bonus — pay source
AIR offers attractive total compensation packages designed to recognize and reward performance at the individual, team and company levels. We start with a competitive base salary and add bonus opportunities and benefit choices topped off with: 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 AIR communities (certain exclusions apply, and an application is required).
Read the full posting
Work setting
On-site — work setting source
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.
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build, and maintain scalable data pipelines for large, diverse datasets

  • Write efficient, reusable SQL and/or Python for ingestion and transformation

  • Optimize cloud data workflows for performance, reliability, security, and cost

  • Monitor data flows, troubleshoot issues, and keep data quality high

  • Provide technical leadership and mentor junior engineers

From the employer’s posting
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.
Monitor data flows, troubleshoot issues, and ensure data quality, availability, and integrity.
Provide technical leadership, mentor junior engineers, and support knowledge‑sharing within the team.

What you’ll bring

All qualifications

Core experience

  • 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.
  • 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.

Preferred experience

  • Experience with distributed data processing or declarative pipeline frameworks.
  • Strong leadership and mentorship abilities, with a focus on elevating team capability and fostering knowledge sharing.
  • Familiarity with cloud-native functions and workflow orchestration tools.
  • Experience with data governance frameworks, metadata management, or cataloging solutions.
Qualification wording
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.
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.
Experience with distributed data processing or declarative pipeline frameworks.
Strong leadership and mentorship abilities, with a focus on elevating team capability and fostering knowledge sharing.
Familiarity with cloud-native functions and workflow orchestration tools.
Experience with data governance frameworks, metadata management, or cataloging solutions.
Education & alternatives
What you should have: - 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.

About AIR Communities

AIR Communities is a Multifamily Real Estate Operator headquartered in Denver, CO.

In the employer’s words · Read in context

Apply at AIR Communities

Posting record

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Open 5 monthsWe first saw this posting 152 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jun 6, 2026152 days ago
Recorded sightings
511
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 152

Up longer than most. Similar jobs usually come down between day 6 and day 54.

From 11,032 similar postings that came down. Coming down is not always a hire.

AIR Communities is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
Where the posting names them
- 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.
- 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.

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,086.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Description

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

What you should have:

  • 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.

 

Additional Information

AIR offers attractive total compensation packages designed to recognize and reward performance at the individual, team and company levels. We start with a competitive base salary and add bonus opportunities and benefit choices topped off with:

  • 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 AIR communities (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 Curriculums.
  • 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.

Application Deadline:  The initial deadline for applications is 6/9/2026. Applications submitted after this date may still be considered on a rolling basis until the position/program is filled. We encourage all interested candidates to apply as early as possible. If a final decision has not been made by the initial deadline, subsequent applications will be reviewed as they are received.

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.

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.

Company Description

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.

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.

Source details

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Pay
AIR offers attractive total compensation packages designed to recognize and reward performance at the individual, team and company levels. We start with a competitive base salary and add bonus opportunities and benefit choices topped off with: 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 AIR communities (certain exclusions apply, and an application is required).
Location & working pattern

Denver, CO, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization

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