Senior Data Engineer, Bluesight

• 5+ years in a Data Engineering role
• Expertise in data orchestration and workflow management tools such as Apache Airflow, Apache NiFi, and Spark, AWS Glue for ETL/ELT/Zero-ETL pipelines
• Competency in SQL, ETL processes, denormalization concepts and programming (dbt, Python)
• Ability to communicate clearly with all audiences about data architecture and implementations, from engineering to product, sales to customer. Strong written and analytical skills
• Experience with Infrastructure-as-Code (IaC) – CloudFormation or Terraform – to build and maintain data engineering pipelines
• Familiarity with observability tools like DataDog to monitor data pipelines, set up alerts, triage incidents, resolve customer issues, and continuous product improvement
• Experience with data warehousing platforms and tools such as Amazon Redshift, Snowflake
• Strong bias for action, documentation and education
• Ability to work through ambiguity with open communication and autonomy
• We're looking for someone with experience working across both internal and external customers and consumers of data products, with a keen eye for building data architectures and platforms that are robust, extensible, and responsive
• Prior experience developing cross-product core data architecture is desirable (especially if any of those were re-engineered efforts!), as well as a cooperative and alignment-building approach to the work

Desirable

• Bluesight is seeking a Senior Data Engineer to help us build the next generation of healthcare pharmacy e-commerce
• We have high visibility into the pharmacy supply chain which enables us to provide ordering insights that help hospital buyers make optimal purchasing decisions
• This is an opportunity to get in on the ground floor and create a new solution that will help hospitals across the country
• This role will cover the spectrum of our data product offerings, from data governance and security to transformation and implementation, working closely with product owners, engineering teams and external customers to define, create and maintain both the architecture and approach
• You can expect to:
• Define, design, implement and maintain data architectures and infrastructure that unify our core products and improve understanding of customer medication workflows
• Dive deep into how the FDA, our nation's healthcare systems and drug manufacturers interface and communicate at the medication level
• Develop and champion good data stewardship and governance practices across the company and work closely with Security
• Design and support customer facing data products both with API and interactive components
• Provide service levels to our data scientists who are clients of your data pipelines and architecture