Senior Data & AI Engineer (Azure/Databricks)

TD Bank Group

Mount Laurel Township (NJ)

On-site

USD 98,000 - 159,000

Full time

3 days ago
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Job summary

TD Bank Group in Mount Laurel, New Jersey, is seeking a Data Engineer III to design, develop and optimize data pipelines, models and governance for financial services workloads. You will work across data ingestion, ETL, metadata, and lineage to enable trusted insights and scalable analytics.

The role requires 5+ years in data engineering, strong Python/SQL, Spark/PySpark, and hands-on Azure/Databricks experience.

Qualifications

  • Degree, postgraduate degree, or technical certificate in data management or related discipline (e.g. Computer Science, Engineering) or equivalent practical experience.
  • Graduate Degree preferred.
  • 5+ years of relevant experience.

Responsibilities

  • Performs data analysis and assesses data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.
  • Maintains expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata.
  • Supports the acquisition and ingestion of data.
  • Articulates complex, large scale, and high impact technical design and development details to non-technical business partners.
  • Elicits, analyzes, and understands business and data requirements to develop complete business solutions, including data models, ETL and business rules, data life-cycle management, governance, lineage, and metadata.
  • Ensures data is maintained in compliance with enterprise data standards, policies, and guidelines.

Skills

Azure & Databricks
Python & SQL
Spark / PySpark
GenAI / AI apps
Databricks Genie / MLflow
AI/ML data</name>
Financial services industry

Education

Degree/Postgraduate/Technical Certificate in Data Management or related field

Job description

TD Bank Group in Mount Laurel, New Jersey, is seeking a Data Engineer III to design, develop and optimize data pipelines, models and governance for financial services workloads. You will work across data ingestion, ETL, metadata, and lineage to enable trusted insights and scalable analytics.

The role requires 5+ years in data engineering, strong Python/SQL, Spark/PySpark, and hands-on Azure/Databricks experience.

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