Cloud Data Engineering Lead | Python & AWS Architect

Ignite IT; Suitland (MD); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

401(k) with matching and 100% Vested

Health Insurance - 3 plans to select from

Paid time off

Professional development assistance

Flexible schedule

Job summary

Ignite IT is seeking a Data Engineering Lead in Suitland, Maryland. This role involves designing scalable data architectures to support the migration of legacy systems to AWS Cloud. The ideal candidate has over 8 years of experience, with expert-level Python proficiency and a strong background in AWS services. Responsibilities include architecting data pipelines, ensuring data integrity, and developing automated validation frameworks. Benefits include health insurance, 401(k) with matching, and professional development assistance.

Qualifications

• Experience transforming legacy file-based systems into cloud-native data architectures.
• Experience developing data models for high-volume, data-intensive applications.
• Expert-level proficiency in Python is required.

Responsibilities

• Design and implement modern, scalable data architectures.
• Lead the transformation of legacy data storage models into structured data models.
• Architect scalable AWS data pipelines using various services.

Skills

Expert-level proficiency in Python for data engineering

Data model design

Cloud-native architecture

Data validation frameworks

API-based ingestion

Education

8+ years of experience in data engineering or data architecture

U.S. Citizenship

Tools

AWS Glue

AWS Lambda

AWS S3

Aurora/Postgres

Terraform

Job description

Ignite IT is seeking a Data Engineering Lead in Suitland, Maryland. This role involves designing scalable data architectures to support the migration of legacy systems to AWS Cloud. The ideal candidate has over 8 years of experience, with expert-level Python proficiency and a strong background in AWS services. Responsibilities include architecting data pipelines, ensuring data integrity, and developing automated validation frameworks. Benefits include health insurance, 401(k) with matching, and professional development assistance.