Data Engineer
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees
