Senior Data Engineer
@ PA Consulting

Boston, Massachusetts, United States
On Site
Full-time
Posted 3 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXX******* @paconsulting.com
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Job Details

Company Description

PA Consulting believes in the power of ingenuity to build a positive human future. With over 4,000 experts across various domains, they combine innovative thinking with breakthrough technologies to create opportunities from complexity, globally operating from offices in the UK, Ireland, US, Nordics, and Netherlands.

Your Day to Day

At PA Consulting, as a Senior Data Engineer you will harness the power of data to drive advancements in healthcare. This multi-year, project-based role focuses on building, maintaining, and optimizing clinical data registry platforms to improve patient outcomes. You will work with a dedicated team of collaborators and customers, building automated data pipelines and complex data infrastructures.

Qualifications & Responsibilities

  • 6+ years of industry experience.
  • Advanced SQL and Python skills.
  • Expertise in designing Big Data Lakes and Data Warehouses.
  • Experience with dynamic, metadata driven pipelines.
  • Cloud expertise in Azure, AWS or GCP.
  • Preferred: Spark/PySpark, Agile/DevOps, data modelling and visualization.

Benefits & Work Arrangement

This hybrid role requires a minimum of 2 days per week in the office or client site. The benefits include group insurance plans, 401(k), paid vacations, performance bonuses, and more.

Key Skills/Competency

Senior Data Engineer; SQL, Python, ETL, Cloud, Big Data, Data Warehousing, Pipelines, Agile, Healthcare, Automation

How to Get Hired at PA Consulting

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to PA Consulting requirements.
  • Highlight cloud expertise: Emphasize Azure, AWS, or GCP experience.
  • Practice technical interviews: Focus on SQL, Python, and data pipelines.
  • Research PA Consulting: Understand their global operations and culture.

📝 Interview Preparation Advice

Technical Preparation

Review advanced SQL and Python coding.
Practice building ETL and data pipelines.
Familiarize with cloud platforms: Azure, AWS, GCP.
Study big data architectures and data warehousing.

Behavioral Questions

Describe handling complex projects.
Explain your teamwork experiences.
Discuss resolving challenging deadlines.
Share how you adapt to change.

Frequently Asked Questions