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Senior Data EngineerP.A. Consulting • Boston, Massachusetts, United States
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Senior Data Engineer

P.A. Consulting
  • US
    Boston, Massachusetts, United States
  • US
    Boston, Massachusetts, United States
Postuler Maintenant

À propos

Job Description We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive‑human future in a technology‑driven world. Our diverse teams combine innovative thinking with breakthrough technologies to progress faster.
Your Day to Day As a Data Engineer for our cutting‑edge medical data registry, you’ll manage, optimise, and expand our data infrastructure. You’ll own production pipelines, data flows, and platform operations, and will balance enhancement work with day‑to‑day reliability tasks. You will contribute to system improvements, monitoring, troubleshooting, tuning, and optimisation of the existing data ecosystem.
Qualifications At least 8 years of industry experience as a data engineer.
Advanced SQL and Python
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardising, and serving billions of data rows across diverse datasets
Experience building dynamic, metadata‑driven pipelines and analyses
Experience maintaining and supporting production data systems, including pipeline monitoring, troubleshooting, and delivering long‑term reliability and optimisation enhancements
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including:
Designing and building data interfaces to source systems
Combining and transforming data into the appropriate format for storage
Developing data sets for analytics purposes
Developing pipelines that can handle common issues/errors in a robust and automated way
Implementing data quality checks, observability, and cost/performance optimisation
Cloud experience in Azure, AWS or GCP
Ability to balance enhancement work with operational responsibilities in a production environment
Preferred Qualifications
Spark / PySpark experience highly preferable
Working in Agile and DevOps environments
Basic Python, Bash, or PowerShell for automation
Data modelling – Kimball, Data Vault, Star/Snowflake schema, Query‑first etc.
Data visualisation in Power BI, Tableau, Qlik or similar
Architecting Data Platforms – designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies
Experience with monitoring/observability tools (logging, alerting, pipeline health dashboards)
One or more of the following certifications:
Microsoft Certified: Azure Data Engineer Associate
AWS Certified Data Analytics – Specialty
GCP Professional Data Engineer
Benefits The salary range for this role is between $155,000k – $180,000k.
Group medical insurance
Health Savings Account with company match
Teladoc and informed Nurse line resources
Long‑term care plan
Group dental insurance
Vision plan
401(k) savings plan with company profit‑sharing contribution
Commuter and parking tax‑savings benefit
15 days paid vacation days with the opportunity to buy five additional days
10 paid holidays plus 10 paid sick days
Company and voluntary income protection benefits
Gym and health incentive reimbursement
Pet and legal insurance plans
Employee Assistance Plan
Annual performance‑based bonus
Adjustments or Accommodations Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com.
Equal Opportunity Employer We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief or veteran status. We welcome applications from underrepresented groups.
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  • Boston, Massachusetts, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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