JobHabor

Data Engineer Program

CDC Foundation

Location
United States
Workplace
Remote
Employment
Temporary
Salary
USD 103,500–143,500/yr
Apply on the employer’s site

Posted 4mo ago

The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.

Responsibilities

  • Design, implement, and maintain Azure Synapse Analytics solutions
  • Develop reusable, parameter-driven data pipelines
  • Ingest and integrate data from diverse public health sources
  • Build Spark-based transformations and SQL-based data models
  • Design and maintain dimensional and analytical data models
  • Identify and resolve data pipeline failures and bottlenecks
  • Ensure compliance with public health data security and privacy requirements

Requirements

  • Bachelor's degree in computer science, Information Technology, Data Science, or related field
  • Minimum 5 years of professional experience in data engineering, analytics engineering, or data warehousing roles
  • Hands-on experience supporting cloud-based data platforms, with preference for Microsoft Azure data services
  • Minimum 1 year(s) of professional experience in systems analysis, requirements elicitation and management
  • Proficiency in SQL and at least one programming language such as Python, Scala, or Java
  • Experience developing and supporting Spark-based data transformations and scalable ETL/ELT pipelines
  • Understanding data warehousing concepts, including dimensional modeling and analytics-oriented data design

Preferred

  • Experience working with public health, healthcare, or government data environments
  • Familiarity with Microsoft Purview for data governance and lineage
  • Experience supporting Power BI or other analytics and visualization tools
  • Knowledge of HIPAA, public health data standards, and regulatory compliance
  • Prior experience designing enterprise-scale Azure data platforms using Medallion or Lakehouse architectures

Skills

  • Azure Synapse Analytics
  • Spark
  • SQL
  • Python
  • Scala
  • Java
  • Azure Data Factory
  • ADLS Gen2
  • Microsoft Purview
  • Power BI

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