Lead Data Engineer - Cloud Data Pipelines & Team Leadership

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

Benefits offered by this job

Discounted rent

Health insurance

Dental & Vision

Life insurance

401(k)

Paid time off

HSA/FSA

Tuition assistance

Commuter benefits

Certification reimbursement

Parental leave

Professional development

Job summary

AIR Communities in Denver, CO seeks a Lead Data Engineer to design, build, and optimize modern data pipelines and cloud-based platforms supporting analytics, ML, and business applications.

You will lead data infrastructure efforts, mentor engineers, and collaborate with data scientists, analysts, and product teams to deliver scalable, secure data solutions. The role requires 12–14+ years in data engineering with strong SQL/Python and cloud governance expertise.

Qualifications

• 12–14+ years in data engineering with 8+ years on data pipelines.
• Advanced SQL and Python for data processing and automation.
• Cloud data platforms experience and governance knowledge.
• Experience with ETL/ELT, orchestration, and data security.

Responsibilities

• Design, build, and maintain scalable data pipelines and platforms.
• Write efficient SQL/Python for ingestion and transformation.
• Optimize workflows for performance, security, and cost.
• Lead, mentor, and collaborate with cross-functional teams.
• Implement data governance and monitor data quality.
• Evaluate tools and architectures; drive improvements.

Skills

SQL

Python

Data modeling

ETL/ELT

CI/CD

Cloud platforms

Leadership

Mentorship

Analytics

Strong problem-solving

Education

Bachelor's degree in Computer Science or related field

Tools

Airflow

Parquet/Delta/Iceberg

Git

CI/CD tooling

Snowflake/AWS/GCP/Azure

Job description

AIR Communities in Denver, CO seeks a Lead Data Engineer to design, build, and optimize modern data pipelines and cloud-based platforms supporting analytics, ML, and business applications.

You will lead data infrastructure efforts, mentor engineers, and collaborate with data scientists, analysts, and product teams to deliver scalable, secure data solutions. The role requires 12–14+ years in data engineering with strong SQL/Python and cloud governance expertise.