Data Engineer

Company Description

IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are digitalizing labor-intensive processes – freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity.

We are headquartered in Philadelphia, PA (USA), with offices in Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn.

Job Description

• Develop scalable, reliable, and efficient data pipelines using dbt, Python, or other ELT tools
• Implement and maintain scalable data orchestration and transformation, ensuring data accuracy, consistency, and timeliness
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Work closely with data analysts and data scientists to provide them with clean and structured datasets for analysis and modeling
• Build scalable, complex DBT models
• Design and build scalable data orchestration and transformation

Qualifications

Skill-Set:

• Data Integration (ETL) Experts
• Expertise in Datawarehouse Development and Concepts
  • Dimension/Fact 
  • Type 1/Type 2 SCD
  • Data Mart Updates
  • Conformed Dimensions via MDM Integration
• Experience with ETL Tools like DBT, Python, SSIS or PowerCenter
• Strong SQL Skills
• Snowflake Experience preferred
• DBT Experience Preferred
• Experience with Life Science/Healthcare Data

Qualifications:

• Bachelor's degree in Computer Science or Engineering, or related field
• 5+ years experience in data engineering field, with deep SQL knowledge
• 5+ years of working with Git, and demonstrated experience collaborating with other engineers across repositories
• 2+ years of working with Snowflake
• 2+ years working with DBT
• Familiarity with Azure/AWS
• Certification in Snowflake or DBT is a plus

#LI-DV1

Additional Information

What does IntegriChain have to offer?

• Mission driven: Work with the purpose of helping to improve patients' lives! 
• Excellent and affordable medical benefits + non-medical perks including Flexible Paid Time Off (PTO) and much more!
• Robust Learning & Development opportunities including over 700+ development courses free to all employees

IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.