Data Engineering Manager, Bluesight

• 5+ Years of Data Engineering related experience
• 3+ Years of Management experience
• Proven track record of leading a team to deliver results
• 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, Scala)
• 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, S3 and delta tables
• Strong bias for action, documentation and education
• Ability to work through ambiguity with open communication and autonomy
• Exemplification of our core values (Get Stuff Done, Join Forces, Honor the Customer, Redefine Possible, and Have Fun)
• Prior experience as a senior data or software engineer and team leader
• Strong written and analytical skills
• History of architecting, designing, and developing scalable production applications
• Experience leading remote teams (we are a fully remote team that meets in person as needed a few times a year)

Desirable

• Bluesight is looking for an Data Engineering Manager to help us redefine and grow our suite of healthcare data products to further the company's mission of "Medication Intelligence"
• Our hospital and pharmacy customers rely on us to keep their patients safe and their pharmacies running smoothly while delighting them with every release
• By streamlining their pharmacy's daily routines with our RFID inventory management solution and reducing risk and enhancing their compliance with our controlled substance tracking and privacy compliance platforms, we're committed to improving medication management for our nation's healthcare providers, and our data operations and products are the backbone of our offerings
• The Engineering Manager will lead a team building data architectures and platforms that are robust, extensible, and responsive
• This includes data ingestion, extract and transformation as well as creating reusable, composable data products that create shared value from raw data
• Prior experience developing cross-product data architecture is desirable (especially if any of those were re-engineered efforts!), as well as a cooperative approach to the work
• This role will work on the spectrum of our data product offerings, from data governance and security to transformation and implementation, working closely with product owners, engineering teams and data scientists to define, create and maintain the architecture
• Leverage your engineering skills in helping the teams architect and build features of the product approximately 30-50% of the time
• Work to unblock the team, while contributing to feature development
• Participate in design and code reviews across the team’s projects
• Manage and develop your team through hiring, coaching, and continuous improvement
• Advance company, product, and team objectives
• 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