Data Engineer

California - Pleasanton

Veeva Systems

Veeva Systems Inc. is a leader in cloud-based software for the global life sciences industry. Committed to innovation, product excellence, and customer success, Veeva has more than 1,100 customers, ranging from the world's largest...

View company page

Veeva is a mission-driven organization that aspires to help our customers in Life Sciences and Regulated industries bring their products to market, faster. We are shaped by our values: Do the Right Thing, Customer Success, Employee Success, and Speed. Our teams develop transformative cloud software, services, consulting, and data to make our customers more efficient and effective in everything they do. Veeva is a work anywhere company. You can work at home, at a customer site, or in an office on any given day. As a Public Benefit Corporation, you will also work for a company focused on making a positive impact on its customers, employees, and communities.
Veeva is looking for Data Engineers to build new cloud based Analytic solutions for the Life Sciences industry.  Veeva analytic solutions utilize multiple data pipelines, streaming, and ETL technologies to model data applications, and integrate reporting interfaces.  If you are a “Data Person”, strong relational + Big Data skills, analytic data modeling, SQL, Python, EMR, S3, Kafka, Arrow, Flight, you’ll love this gig – and we’d love to talk with you.  It’s a great opportunity to join our innovative team of Big Data, Data Warehousing, Redshift, Product Development, Data Science, Life Science experts to deliver pre-packaged analytics solutions with our Life Sciences applications.  If you play well on smart teams, enjoy developing innovative solutions, and are looking for an opportunity to work with a fast-growing company, we should talk. 

What You’ll Do

  • Design/Develop new data applications, data models, loading techniques, collection models, scripts
  • Work closely with Product Manager, Industry Subject Matter experts to design data applications, models, and transformations
  • Develop reports + dashboards using Tableau/similar tools
  • Data modeling of normalized operational data stores + denormalized reporting models
  • Fast pace, test driven environment

Requirements

  • BS degree in Computer Science, Engineering, or a related subject 
  • 3+ years experience in SQL Oriented Data Engineer role, demonstrating strong SQL expertise. 
  • Experience Data Modelling Entity Relationship Diagrams, LDMs, PDMs, Normalized vs Denormalized Data Model design, Star Schemas
  • Experience script data transformation via Python / Bash scripts 
  • Comfort designing reports and dashboards with Tableau / similar tools

Nice to Have

  • Familiarity with MPP databases (Redshift, Teradata, Greenplum, Vertica), optimization, and data modeling techniques
  • Familiarity with Agile methodologies
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Tags: Agile Arrow Big Data Computer Science Consulting Data pipelines Data Warehousing Engineering ETL Kafka Model design MPP Pipelines Python Redshift SQL Streaming Tableau Teradata

Region: North America
Country: United States
Job stats:  11  4  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.