Senior Data Engineer — AI-Ready Data Platform

Hobbsnews; Charlotte, Northern (NC, KY); Hybrid; USD 125,000 - 145,000; Full time

Benefits offered by this job

Industry-leading benefits

Paid time off

Job summary

Bank of America is seeking a data engineering professional to build AI-ready data foundations and end-to-end pipelines. You will collaborate with data scientists and product owners to productionize AI/GenAI solutions and drive the platform architecture across the organization.

You will design scalable data architectures, implement robust ETL/ELT processes, and ensure governance and quality across data products, enabling reliable insights for internal and client-facing use cases.

Qualifications

• Bachelor's degree in Computer Science, MIS, Finance, Statistics, or related field.
• 5+ years of hands-on Data Engineering experience building and operating production-grade data pipelines and platforms.
• Advanced SQL, complex query optimization, and large-scale data modeling.
• Strong Python and Spark programming with OO design and production-quality code.
• Experience with Airflow or comparable schedulers for ETL/ELT workflows.
• Understanding Data Lake concepts and modern data delivery methods.

Responsibilities

• Build the data foundation for AI with end-to-end pipelines and Data Lake architecture.
• Enable AI products by collaborating with Product Owners, Data Scientists, and business partners to productionize AI/GenAI solutions.
• Define architecture, patterns, and standards for data and AI across the organization.
• Develop production-grade, scalable pipelines and reusable data capabilities.
• Oversee data-to-insight lifecycle and ensure insights reach stakeholders.
• Embed data governance and quality principles into delivery.

Skills

Advanced SQL

Python

Spark

Airflow

Data Lake

Data architecture

AI data products

Analytical thinking

Communication

Education

Bachelor's degree in CS / MIS / Finance / Statistics

Tools

Airflow

dbt

Spark

CI/CD for data pipelines

Snowflake / Databricks

Job description

Bank of America is seeking a data engineering professional to build AI-ready data foundations and end-to-end pipelines. You will collaborate with data scientists and product owners to productionize AI/GenAI solutions and drive the platform architecture across the organization.

You will design scalable data architectures, implement robust ETL/ELT processes, and ensure governance and quality across data products, enabling reliable insights for internal and client-facing use cases.