Senior Data Engineer — Cloud ETL Architect & Data Platforms

LyvWell Apartments; Charleston (SC); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Full benefits package

Generous paid time off

401(k) with company match

Growth and advancement opportunities

Job summary

LyvWell Apartments seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud data systems across the organization. Expertise in data architecture, ETL development, and cloud technologies with Python, SQL, and AWS (S3, Redshift) is essential.

You will collaborate with data analysts, scientists, and business stakeholders to improve data accessibility and performance, while implementing DevOps and CI/CD practices in an agile environment.

Qualifications

• Undergraduate degree in MIS/CS/IT required.
• 5–7 years of ETL and system integration experience.
• 5–7 years with SQL, Redshift, Snowflake or similar data warehouses.
• 5–7 years writing Python for data integration and tooling.

Responsibilities

• Design, build, and optimize scalable ETL/ELT pipelines and cloud data integrations (Yardi, Salesforce) into AWS analytics (Redshift, S3).
• Collaborate with analytics, data science, and business teams to deliver trusted datasets for reporting and analytics.
• Contribute to data platform architecture, CI/CD, DevOps, and infrastructure automation.
• Maintain data quality, governance, and documentation; support BI/AI initiatives.

Skills

Python

SQL

AWS

Airflow

ETL

Data modeling

Data warehousing

CI/CD

Education

Bachelor's degree in MIS/CS/IT

Tools

Airflow

AWS Glue

Terraform

Docker

Redshift

Snowflake

Tableau/Power BI

Job description

LyvWell Apartments seeks a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud data systems across the organization. Expertise in data architecture, ETL development, and cloud technologies with Python, SQL, and AWS (S3, Redshift) is essential.

You will collaborate with data analysts, scientists, and business stakeholders to improve data accessibility and performance, while implementing DevOps and CI/CD practices in an agile environment.