Data Engineering Manager - Remote

March 13

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Bluesight

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Bluesight is a healthcare technology company that specializes in streamlining hospital pharmacy operations through innovative medication management solutions. Their products, including RFID medication management and drug diversion surveillance, automate inventory tracking and purchasing processes, ensuring compliance while enhancing efficiency. By consolidating essential health system solutions under one vendor, Bluesight empowers pharmacy staff and executives with actionable insights to optimize operations and reduce costs, as evidenced by their recognition as a market leader in Kit & Tray Management and their award-winning privacy solutions.

Pharmacy Automation • Medication Tray Processing • Medication Tray Management • Drug Tracking • Controlled Substance Tracking

51 - 200 employees

Founded 2011

⚕️ Healthcare Insurance

💊 Pharmaceuticals

☁️ SaaS

📋 Description

• At Bluesight, our mission is to create groundbreaking medication intelligence solutions that increase efficiency, safety and visibility for health systems and pharmaceutical manufacturers. • We empower our customers to deliver the right medicine to the right patient at the right time, every time. • We are a high growth healthcare information technology company with a start-up 'vibe' but over 2,000 customers tracking medications using our proven solutions. • 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.

🎯 Requirements

• 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)

🏖️ Benefits

-Competitive salary -Time off when you need it – unlimited vacation days! -Generous insurance coverage -401k program with a company match -Fun, collaborative culture!