Data Engineer II: ETL, Data Quality & Governance (Onsite)

TD Bank

Mount Laurel Township (NJ)

On-site

USD 79,000 - 128,000

Full time

3 days ago
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Benefits offered by this job

Health benefits
Retirement plan
Paid time off (PTO)
Discounts and banking benefits
Career development

Job summary

TD Bank is seeking a Data Engineer II to support data modeling, quality, profiling, ingestion, ETL, and metadata practices across the platform. You will collaborate with cross-functional teams to ensure data governance, lineage, and security standards are followed.

The role requires hands-on experience with Azure Databricks, PySpark, SQL, and Azure Data Factory, designing scalable data models and robust ETL processes. Onsite in Mount Laurel, NJ with 40-hour weeks.

Qualifications

  • Degree, Postgraduate Degree, or Technical Certificate in Data Management or a related discipline (e.g., Computer Science or Engineering), or equivalent practical experience.
  • 3+ years of relevant experience.
  • Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures.

Responsibilities

  • Provide data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, ETL, metadata enrichment and management, and data provenance and lineage.
  • Articulate complex, large-scale technical design to non-technical partners.
  • Elicit, analyze, and translate business and data requirements into data solutions and governance, lineage, and metadata.

Skills

Azure Databricks
PySpark
SQL
Azure Data Factory
Big Data
ETL
GitHub
Bitbucket
Data governance
CI/CD
DevOps practices
Cloud migration
Data lineage
Analytical problem-solving

Education

Degree/Certificate in Data Management or related

Tools

TD Bank tools

Job description

TD Bank is seeking a Data Engineer II to support data modeling, quality, profiling, ingestion, ETL, and metadata practices across the platform. You will collaborate with cross-functional teams to ensure data governance, lineage, and security standards are followed.

The role requires hands-on experience with Azure Databricks, PySpark, SQL, and Azure Data Factory, designing scalable data models and robust ETL processes. Onsite in Mount Laurel, NJ with 40-hour weeks.

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