Azure Data Engineer (Washington) Job at Papigen, Washington DC

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  • Papigen
  • Washington DC

Job Description

We are looking for a Data Engineer experienced in Azure Databricks , ADF , and PySpark to build and optimize ETL pipelines for a Data Lakehouse architecture.

Responsibilities

  • Build and maintain ETL processes using ADF, PySpark, Databricks
  • Convert Informatica ETL workflows to cloud
  • Ensure data quality, lineage, and performance
  • Create self-service data products using semantic layers
  • Work closely with data architects and business teams

Required Skills

  • 8+ years in data engineering
  • Strong skills in Databricks, PySpark, SQL, Azure
  • Experience in legacy ETL migration
  • Familiarity with financial risk datasets, data marts
  • Agile project exposure and strong problem-solving skills

Seniority level

  • Mid-Senior level

Employment type

  • Contract

Job function

  • Information Technology

Industries

  • IT Services and IT Consulting

Note: The job posting appears active; no expiration indicators are present.

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Job Tags

Contract work,

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