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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 of experts combine innovative thinking with breakthrough-technologies to progress further, faster. Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about designing, building, and maintaining data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine? If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers. As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes. If you're excited about leveraging your data engineering skills to make a difference in the world of healthcare, we want to hear from you.
Job Responsibility:
Designing, building, and maintaining data infrastructure
Managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes
Building and growing a clinical data registry platform over many years
Requirements:
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
Nice to have:
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
What we offer:
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