Senior Data Engineer - Python/PySpark/Databricks + AI

Fairygodboss; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

Retirement savings plan

On-site health and wellness centers

Job summary

Chase is seeking a Data Engineer III to design and deliver trusted data pipelines and architectures using Python, PySpark, and Databricks. You will work on secure, scalable solutions across multiple business functions to support enterprise analytics and decision making.

Responsibilities include managing data models, applying AI-assisted development in the SDLC, and ensuring data protection. Strong SQL and NoSQL skills, plus a track record in statistical analysis, are required.

Qualifications

• Formal training or certification on data engineering concepts and 3+ years applied experience.
• Experience across the data lifecycle.
• Advanced at SQL (e.g., joins and aggregations).
• Working understanding of NoSQL databases.
• Experience using enterprise-enabled AI capabilities with strong validation.
• Ability to review AI-assisted outputs before use and follow data handling rules.
• Significant experience with statistical data analysis.
• Experience customizing changes in a tool to generate product.

Responsibilities

• Supports review of controls to protect enterprise data.
• Advises and makes custom configuration changes to generate a product on request.
• Updates logical or physical data models based on new use cases.
• Frequently uses SQL and understands NoSQL databases.
• Uses enterprise AI capabilities to accelerate data pipeline analysis and documentation.
• Applies AI-assisted SDLC practices to ensure traceability and security.

Skills

SQL

NoSQL

AI capabilities

Data lifecycle

Statistical analysis

AI validation

Python

Education

Data engineering certification

Tools

Databricks

PySpark

Python

Job description

Chase is seeking a Data Engineer III to design and deliver trusted data pipelines and architectures using Python, PySpark, and Databricks. You will work on secure, scalable solutions across multiple business functions to support enterprise analytics and decision making.

Responsibilities include managing data models, applying AI-assisted development in the SDLC, and ensuring data protection. Strong SQL and NoSQL skills, plus a track record in statistical analysis, are required.