Data Engineer Consultant building and maintaining enriched data infrastructure for analytical thinking at Northwest Permanente. Involves data collection, cleansing, and transformation for business intelligence.
About the role
- Data Engineer responsible for developing data solutions and integrating systems for advanced analytics at Lilly. Focusing on data pipelines and solutions ensuring data quality and compliance.
Responsibilities
- Engage with business stakeholders to design, develop, and maintain the data pipelines and data solutions that ensure the availability and quality of data sets and actionable insights for the Foundry
- Includes data capture, integration, acquisition, contextualization, and harmonization, leading to the delivery of data-as-a-product and reusable data domains and products
- Focus on integrating IT/OT systems with cloud data lakehouse architecture (AWS/Azure) to enable advanced analytics and AI/ML capabilities while ensuring data integrity and compliance with relevant regulatory standards and best practices
- Work closely with the Data Architect and Data Scientists
- Collaborate with business and IT groups beyond the data sphere, understanding the enterprise infrastructure and the many source systems
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering or related field or equivalent work experience
- At least 3 years of experience in several of the following disciplines: statistical methods, data modeling, ETL/ELT, ontology development, semantic graph construction and linked data, relational schema design
- 1-3 years of experience designing large scale data models for functional, operational, and analytical environments (Conceptual, Logical, Physical & Dimensional)
- Demonstrated SQL and data modeling proficiency
- Experience with data modeling tools such as, ER*Studio and Erwin or TOAD
- Experience with cloud platforms (e.g., AWS, Azure)
- Experience with AI/ML/LLM Concepts and tools and building agentic AI solution sets
- Experience with data integration such as data streaming, Industrial IOT, using MQTT, AQMP, Kafka and related protocols
- Understanding of modern data architecture, data lakehouse, data warehousing and/or big data concepts
- Experience with security models and development on large data sets
- Experience with multiple database solutions (e.g. Postgres, Redshift, Aurora, Athena, Graph DB like Neptune, No SQL like DynamoDB, MongoDB) and formal database designs (3NF, Dimensional Models)
- Experience with Agile Development, CI/CD, Github, Automation platforms
- Demonstrated ability to analyze large, complex data domains and craft practical solutions for subsequent data exploitation via analytics
- Ability to review and provide practical recommendations on design patterns, performance considerations & optimization, database versions, and database deployment strategies
- Knowledgeable in data functions such as Data Governance, Master Data Management, Business Intelligence
- Prior work experience working in pharma or other GMP setting
- Solid knowledge of Computer System Validation process
- Demonstrated ability to analyze, anticipate, and resolve complex issues through sound problem-solving skills
- Demonstrated learning agility and curiosity
- Desire and ability to communicate using a variety of methods in diverse forums.
Benefits
- eligibility to participate in a company-sponsored 401(k)
- pension
- vacation benefits
- eligibility for medical, dental, vision and prescription drug benefits
- flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts)
- life insurance and death benefits
- certain time off and leave of absence benefits
- well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
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