PA Consulting · 1 day ago
Data Engineer
Boston, MA
Full-time
Hybrid
Entry, Mid Level
$80K/yr - $100K/yr
2+ years expPA Consulting is an innovation and transformation consultancy that focuses on harnessing ingenuity to build a positive future. They are seeking a Data Engineer to manage, optimize, and expand their data infrastructure, specifically for a clinical data registry platform that aims to improve patient outcomes in healthcare.
Business DevelopmentConsultingCyber SecurityData IntegrationInformation TechnologyIT InfrastructureManagement ConsultingSoftware Engineering
No H1B
Responsibilities
Designing, building, and maintaining data infrastructure for a clinical data registry platform
Managing, optimizing, and expanding data infrastructure to enable critical insights that positively impact patient outcomes
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including designing and building data interfaces to source systems, combining and transforming data for storage, and developing datasets for analytics purposes
Qualification
Required
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time
2-4 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
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
Cloud experience in Azure, AWS or GCP
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
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.
1001-5000 employees
Funding
Current Stage
Late StageTotal Funding
unknown2020-11-30Acquired
Leadership Team
Hugo Raaijmakers
Global Head of AI Innovation
Leo Whyte
Principal Networks Consultant
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