Senior Data Engineer
Updated on 2/23/2024
Veda

51-200 employees

Healthcare data analysis for improved patient access
Company Overview
Veda is a unique blend of scientific curiosity and practical problem-solving, leveraging machine learning and data analysis to enhance healthcare outcomes and access. The company's tool, Quantym, offers a comprehensive data cleansing solution, ensuring accuracy and quality in healthcare databases, thereby reducing financial loss and driving efficiency in the industry. With a user base of over 15 million, Veda's commitment to empowering researchers and its robust data solutions make it a leading player in the healthcare innovation sector.
AI & Machine Learning
Data & Analytics
B2B

Company Stage

Series B

Total Funding

$62.7M

Founded

2015

Headquarters

Madison, Wisconsin

Growth & Insights
Headcount

6 month growth

0%

1 year growth

5%

2 year growth

32%
Locations
United States
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Power BI
Python
JavaScript
Airflow
Data Science
Apache Spark
SQL
Tableau
AWS
Pandas
NumPy
Snowflake
CategoriesNew
Data & Analytics
Requirements
  • 6+ years of experience shipping production python code
  • 6+ years of professional experience working in a developer role
  • Experience in building and designing Data Lake, Data Warehouse and Data Mart solutions
  • Database design and data modeling experience including performance optimization
  • Experience working in report development tools like tableau, powerBI
  • Experience working in a variety of data stores (sql and no-sql) and file formats
  • Writing automated tests using infrastructure as code, CICD pipelines, containerization technologies
  • Supporting, designing, building, and maintaining high volume/high frequency data pipelines for large scale, complex data sets
  • Working with event-driven and/or microservice ecosystems
  • Maintaining, expanding and evolving legacy code and frameworks
Responsibilities
  • Lead the development of Veda’s Data Warehousing solution
  • Contribute to the design of the data pipeline and application architecture
  • Work within a cross-disciplinary team of data engineers, data scientists, and cloud architects
  • Guide others on design and best practices
  • Mentor other engineers, conduct code reviews, and help write technical requirements across product-driven teams
  • Refine requirements, design solutions, test changes, and deliver in collaboration with Engineering Management, Product, and Customer-facing teams
Desired Qualifications
  • Designing applications that make use of AWS services including Lambda, S3, Glue, RDS, DynamoDB, ECS, EMR, Data Lake Formation
  • Snowflake or equivalent Data Warehousing solutions
  • ETL and orchestration engines including Spark, airflow, Informatica
  • Building production applications with Javascript or Typescript
  • Python data science libraries like Pandas, NumPy, Matplotlib
  • Working in highly regulated industries like finance, health care or defense