Senior DBT, Python & Airflow Data Engineer

NTT DATA, Inc.; King of Prussia (PA); Hybrid; USD 84,000 - 125,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) with company match

Paid time off

Flexible spending or health savings

Employee assistance

Job summary

NTT DATA, Inc. seeks a DBT/Python/Airflow Developer to design and maintain robust data pipelines in Snowflake. You will implement ELT/ETL processes, optimize data models, and enforce data quality and security controls.

The ideal candidate has 5+ years with DBT, 3+ years Python and Airflow, and strong Snowflake/SQL skills, plus a CS or data-related degree. Hybrid work in the Philadelphia area is available with competitive pay and benefits.

Qualifications

• 5+ years of hands-on experience developing with DBT
• 3+ years of experience with Python development
• 3+ years of experience with Airflow development
• 3+ years of experience with Snowflake and strong SQL proficiency

Responsibilities

• Develop and maintain DBT models, macros, and SQL scripts to transform data within Snowflake.
• Optimize data models, design star/snowflake schemas, manage warehouse performance, and implement clustering/materialized views.
• Create scalable ELT/ETL pipelines to ingest and transform data from diverse sources.
• Write modular, testable SQL code using version control and manage DBT project structures.
• Implement data quality checks, automated tests, anomaly detection, and data security, including RBAC, masking, and row-level access in Snowflake.

Skills

DBT

Python

Airflow

SQL

Education

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

Tools

Snowflake

Job description

NTT DATA, Inc. seeks a DBT/Python/Airflow Developer to design and maintain robust data pipelines in Snowflake. You will implement ELT/ETL processes, optimize data models, and enforce data quality and security controls.

The ideal candidate has 5+ years with DBT, 3+ years Python and Airflow, and strong Snowflake/SQL skills, plus a CS or data-related degree. Hybrid work in the Philadelphia area is available with competitive pay and benefits.