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Veeva Developer Jobs in Colorado (NOW HIRING)

Veeva Developer information

What is a Veeva developer?

A Veeva Developer is an IT professional who specializes in designing, developing, and maintaining applications on the Veeva platform, which is widely used in the life sciences industry for managing content, customer data, and regulatory processes. They work with Veeva products such as Vault, CRM, and QualityDocs, customizing solutions to meet business needs. Veeva Developers use programming skills, configuration tools, and integration techniques to enable companies to optimize their workflows and ensure compliance with industry regulations.

What are the key skills and qualifications needed to thrive as a Veeva developer?

To thrive as a Veeva Developer, you need a solid background in software development, knowledge of Veeva Vault products, and experience with life sciences data management, often supported by a degree in computer science or a related field. Familiarity with Veeva Vault, Vault API, Java, SQL, and certifications such as Veeva Vault Platform Developer are highly valuable. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These competencies ensure efficient implementation, customization, and support of Veeva solutions, driving compliance and productivity in regulated industries.

What are some common challenges Veeva developers face when integrating Veeva Vault with other enterprise systems?

Veeva Developers often encounter challenges related to data synchronization, API limitations, and maintaining data integrity when integrating Veeva Vault with other systems like ERP or CRM platforms. Each system may have different data models and security protocols, requiring careful mapping and robust testing to ensure seamless communication. Additionally, staying updated with Veeva's frequent platform updates and ensuring compatibility with external tools can require ongoing effort and collaboration with cross-functional teams.

What is the difference between Veeva Developer vs Veeva Administrator?

AspectVeeva DeveloperVeeva Administrator
Primary RoleDevelops and customizes Veeva Vault applications and modulesManages and maintains Veeva Vault systems, user access, and configurations
Required SkillsVeeva Vault development, programming, API integrationVeeva Vault administration, user management, workflow setup
CertificationsVeeva Certified DeveloperVeeva Certified Administrator
Work EnvironmentTechnical teams, software development projectsOperational teams, system management

While both roles work within the Veeva ecosystem, Veeva Developers focus on building and customizing applications, whereas Veeva Administrators handle system maintenance and user management. Understanding these differences helps organizations assign the right skills to each role.

What are popular job titles related to Veeva Developer jobs in Colorado?

For Veeva Developer jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Veeva Developer jobs?

Cities in Colorado with the most Veeva Developer job openings:

Data Engineer (Databricks, AWS)

Computer Enterprises, Inc.

Almont, CO • On-site

$70/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 25 days ago


Job description

Title: Data Engineer (onsite)
Location: Raleigh, NC
Contract: W2 only, 12-month contract with potential for extension or conversion to full time with the client.
Pay: $70/hour + optional medical, dental, vision, 401(k) matchOverview

The Data Engineer will be responsible for designing, developing, and optimizing large-scale data pipelines and analytical solutions supporting Life Sciences Commercial Operations. This role requires deep expertise in Databricks (including Genie), AWS cloud services, and PySpark, with strong domain knowledge of pharmaceutical/biotech commercial datasets such as IQVIA, Symphony, DDD, NPA, Xponent, Claims, Specialty Pharmacy, and CRM/Sales data. The candidate will partner closely with Commercial Analytics, Data Science, and Business Stakeholders to deliver high-quality, scalable data products that enable sales insights, targeting, forecasting, incentive compensation, and field performance reporting.

Key Responsibilities
  • Build, optimize, and maintain data pipelines using Databricks, Delta Lake, and Genie-powered workflows.
  • Implement LLM-based automation and query generation using Databricks Genie for data exploration and business-user self-service.
  • Develop notebooks, jobs, workflows, and ML-ready datasets within the Databricks environment.
  • Design and manage data ingestion, storage, and processing using AWS services such as S3, Glue, Lambda, EMR, Redshift, and Athena.
  • Implement secure, scalable architectures following AWS best practices (IAM, VPC, encryption, monitoring).
  • Build distributed data transformation pipelines using PySpark for high-volume commercial datasets.
  • Optimize PySpark jobs for performance, cost efficiency, and reliability.
  • Implement unit testing, CI/CD, and code versioning using Git-based workflows.
  • Ingest, harmonize, and model datasets including IQVIA (Xponent, DDD, NPA, LAAD, NSP), Claims (medical, pharmacy), Specialty Pharmacy data feeds, Sales & CRM (Veeva, Salesforce), Roster, Territory, and Alignment datasets.
  • Build commercial data marts supporting sales reporting and dashboards, targeting and segmentation, incentive compensation, forecasting, and field performance insights.
  • Work with Commercial Analytics, Data Science, IT, and Business teams to translate requirements into scalable data solutions.
  • Ensure data quality, lineage, governance, and compliance with industry standards (HIPAA, GxP, SOC2).
Required Skills
  • 5–10+ years of experience in Data Engineering or Big Data Analytics.
  • Strong hands-on experience with Databricks, Genie, Delta Lake, and MLflow.
  • Advanced proficiency in PySpark, Python, SQL, and distributed computing.
  • Deep experience with AWS (S3, Glue, Lambda, EMR, Redshift, IAM).
  • Proven experience working with Life Sciences Commercial datasets.
  • Strong understanding of data modeling, ETL/ELT, and cloud architecture.
  • Experience with CI/CD, Git, DevOps, and automated workflow orchestration.
  • Demonstrated knowledge of ingesting, harmonizing, and modeling pharmaceutical/biotech datasets.
  • Ability to build scalable, high-performance data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and documentation abilities.
  • Ability to work in fast-paced, cross-functional environments with high attention to data accuracy.
Required Education
  • No Education Requirements
Preferred Skills
  • Experience with Databricks Unity Catalog and Lakehouse architecture.
  • Familiarity with LLM-based automation or AI-assisted analytics.
  • Experience supporting Commercial Operations, Sales Leadership, and Field Teams.
  • Knowledge of incentive compensation methodologies and targeting algorithms.
  • Experience with BI tools (Tableau, Power BI, Qlik).
Why Should I Apply?

This role offers the opportunity to work on cutting-edge data solutions supporting Life Sciences Commercial Operations, with significant impact on sales insights and forecasting. Join a dynamic team leveraging advanced cloud and big data technologies to transform pharmaceutical data analytics.


About CEI:
As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers'' workforce and project requirements.

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