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TD

Data Engineer II

TD

. Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage .

Posted 3/31/2026full-timeMount Laurel • New Jersey, North Carolina • 🇺🇸 United StatesMid-LevelSenior💰 $74,000 - $127,670 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudETLPythonScalaSQL

About the role

Key responsibilities & impact
  • Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage
  • Develop and maintain data solutions within the Azure cloud environment
  • Design, build, and optimize scalable data pipelines
  • Create curated, high-quality data assets to support analytics, reporting, and business decision-making
  • Collaborate with data analysts, data scientists, and business stakeholders to ensure efficient and reliable data solutions that align with organizational goals

Requirements

What you’ll need
  • 3+ years of relevant experience
  • Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience
  • Solid hands-on experience with Microsoft Azure, to include:
  • Azure Data Factory
  • Azure Data Lake Storage (Gen2)
  • Azure Synapse Analytics
  • Azure Databricks
  • Azure Functions (for orchestration or automation tasks)
  • Proficient in data ingestion, transformation, and integration from various sources
  • Proficiency in Python and/or Scala for data processing tasks
  • Experience with SQL for querying and transforming data
  • Understanding of data modeling principles (dimensional, star/snowflake schema)
  • Ability to build curated, reusable datasets for downstream analytics
  • Familiarity with Git, DevOps workflows, and deploying pipelines using CI/CD tools (e.g., Azure DevOps)
  • Knowledge of data governance, security, and compliance best practices in a cloud environment

Benefits

Comp & perks
  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
  • Banking benefits and discounts
  • Career development
  • Reward and recognition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data modelingdata qualitydata profilingdata acquisitionETLmetadata managementdata provenancedata lineagePythonSQL
Soft Skills
collaborationcommunicationproblem-solvingorganizational skills
Certifications
Degree in Data ManagementPostgraduate Degree in Data ManagementTechnical Certificate in Data Management