Senior Data Engineer — AI-Ready Data Platform

HITEC

Charlotte, Northern (NC, KY)

Hybrid

USD 125,000 - 145,000

Full time

14 days+
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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.

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