Jobs · Information Technology · Pennsylvania

Data Engineer

PANTHERx Rare Pharmacy · Pittsburgh, PA · 4 mo ago
Information TechnologyFull-time

Responsibilities

  • Create and maintain robust data pipelines using Databricks, Spark, SQL, or SSIS.
  • Develop and manage efficient ETL/ELT processes for data extraction, transformation, and loading.
  • Integrate data from various sources, ensuring data quality and consistency.
  • Write, optimize, and maintain complex SQL queries to enhance performance.
  • Collaborate with analysts and stakeholders to understand data requirements and deliver solutions.
  • Optimize data pipelines, SQL queries, and Delta Tables to ensure high performance and scalability.
  • Ensure the accuracy and reliability of data through rigorous testing and validation.
  • Maintain comprehensive documentation of data pipelines, processes, and query optimizations.
  • Identify and implement opportunities for process improvements and automation.

Requirements

  • Bachelor’s degree in computer science, Mathematics, Statistics, or a related field.
  • Minimum 4 years of experience in data engineering, including:
    • Advanced SQL
    • Azure Data Factory or other ETL tools
    • Python or other programming languages
    • Azure Databricks or Spark
    • Azure DevOps or other CI/CD tools
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Ability to work independently and as part of a team.
  • Strong attention to detail and ability to maintain data accuracy and integrity.

Qualifications

  • Familiarity with healthcare data standards such as HIPAA and HITECH.
  • Experience in healthcare, particularly specialty pharmacy.
  • Knowledge of dimensional data modeling.
  • Data Warehousing Experience.

Skills

  • Advanced SQL
  • Azure Data Factory or other ETL tools
  • Python or other programming languages
  • Azure Databricks or Spark
  • Azure DevOps or other CI/CD tools

Benefits

  • Generous paid time off
  • Flexible on-site and hybrid work schedules
  • Medical, dental, vision, health savings and flexible spending accounts
  • 401K with employer matching
  • Employer-paid life insurance and short/long term disability coverage
  • Employee Assistance Program

Pay

TBD

Schedule

Hybrid

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