Bank of America

Bank of America

Sr Data Engineer - Full-time

Charlotte, North Carolina · Senior · Full-time

Sponsorship not specifiedDetected 19 days ago
PythonBashExpressGitSQLSnowflakeDatabricksCI/CDDevOpsKafkaMachine LearningSparkAirflowdbtData EngineeringData VisualizationLLMsStatisticsAgileTest AutomationLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

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Cap-exempt (no lottery)0
Sponsors this role85
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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About the role

  • At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection.
  • We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
  • We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences.

Responsibilities

  • Build the data foundation for AI.
  • Design and deliver end-to-end pipelines and Data Lake architecture using Python, Spark, SQL, and modern ETL practices, turning large raw datasets into trusted, AI-ready data products.
  • Enable AI products through data. Work with Product Owners, Data Scientists, and business partners to move AI and GenAI solutions into production, turning business problems into reusable data capabilities.
  • Apply Object-Oriented design, solid data platform concepts, and strong ETL practices to build reliable, scalable pipelines, and help shape where the team's data capabilities go next.
  • Own the data-to-insight lifecycle.
  • Build Data Governance and Quality principles into your work and act as a reliable partner to stakeholders and data consumers.
  • Drive projects from idea to production.
  • Take new concepts and deliver them across business and Enterprise IT partnerships in a fast-paced environment.

Requirements

  • To proceed with your application, you must be at least 18 years of age.**
  • Bank of America employees are required to meet all** **posting eligibility requirements** **prior to applying for any new position.**

Nice to have

  • Modern data engineering & orchestration tooling such as Airflow, dbt, Spark, and CI/CD for data pipelines (Git-based workflows, automated testing, and deployment).
  • Cloud and lakehouse platforms experience with modern cloud data warehouses and lakehouse technologies (e.g., Snowflake, Databricks, Delta Lake) alongside distributed storage (HDFS, Hive, Apache Spark).
  • Advanced SQL & database platforms performance tuning and engineering across RDBMS and Big Data platforms such as Oracle Exadata, SQL Server, and Teradata.
  • ETL/ELT and streaming technologies Python, Spark, SSIS, shell scripting, and exposure to real-time/streaming frameworks (e.g., Kafka).
  • BI and data visualization Tableau (Desktop and Server), Power BI, SSRS, and SSAS.
  • Banking and Global Treasury transactions industry experience a plus.

Skills

  • Bachelor's degree in Computer Science, Management Information Systems, Finance, Statistics, or a related field required.
  • Strong quantitative, analytical, and problem-solving skills, paired with critical thinking and creativity.
  • + Analytical Thinking
  • + Application Development
  • + Data Management
  • + DevOps Practices

Company info

  • Who we're looking for This is a hybrid role that spans data engineering, AI product enablement, and platform architecture.

Visa & Work Authorization

  • x, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such aff
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This listing is sourced directly from Bank of America's careers page and normalized into a canonical job model.