PA Consulting · 5 hours ago
Senior Data Engineer
PA Consulting is an innovation and transformation consultancy that believes in using ingenuity to build a positive human future. As a Senior Data Engineer, you will manage, optimize, and expand the data infrastructure for a medical data registry, enabling critical insights to improve patient outcomes.
Business DevelopmentConsultingCyber SecurityData IntegrationInformation TechnologyIT InfrastructureManagement ConsultingSoftware Engineering
Responsibilities
Managing, optimizing, and expanding data infrastructure for a clinical data registry
Enabling critical insights that can positively impact patient outcomes
Contributing to system improvements while owning the monitoring, troubleshooting, tuning, and day-to-day reliability of the existing data ecosystem
Qualification
Required
At least 6 years of industry working experience
Advanced SQL and Python
Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds
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 optimization 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 optimization
Cloud experience in Azure, AWS or GCP
Ability to balance enhancement work with operational responsibilities in a production environment
Preferred
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 Engineers
Benefits
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
Company
PA Consulting
We believe in the power of ingenuity to build a positive human future.
H1B Sponsorship
PA Consulting has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
2024 (11)
2023 (5)
2022 (13)
2021 (6)
2020 (10)
Funding
Current Stage
Late StageTotal Funding
unknown2020-11-30Acquired
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