Wolters Kluwer Lead Product Software Engineer - Data Engineer in Waltham, Massachusetts
Work on stuff that matters. Save lives. Deliver drug data products to support the decisions of healthcare professionals in 164 countries and screen over a billion prescription drug transactions per day.
We are seeking a talented, collaborative, high-energy software professional with extensive technical expertise and a passion for software craftsmanship to help maintain our current and build and test the next generation of our cloud-based data pipelines, embedded APIs, web services, and web applications. Medi-Span technology products (https://www.wolterskluwercdi.com/drug-data/) are critical components of the clinical workflow when embedded in today’s electronic health record systems and pharmacy systems.
Wolters Kluwer Health’s Clinical Effectiveness (CE) organization (www.wolterskluwercdi.com) is a fast-growing and innovation-driven healthcare information technology (HIT) provider working on the front lines of clinical care. Our talented team of physician editors, technologists, and product visionaries collaborate to provide advanced clinical decision support solutions that measurably improve clinical effectiveness by helping healthcare professionals provide optimal care for their patients.
Essential Duties and Responsibilities
Effectively collaborate within a product-focused Scrum agile development team to:
Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end
Establish data best practices across the business unit by collaborating with architects
Help drive a best-in-class data engineering practice across Medi-Span. Participate in setting strategy and standards through data architecture and implementation, balancing current state with industry best practices.
Assist in creating documentation that ensures consistency in development across the organization.
Deliver world-class healthcare technology products of the highest quality utilizing agile engineering and DevOps practices.
Define, design, estimate, and plan user stories.
Apply technical and customer service skills to solve client problems and assist with high profile product implementations.
Systematically troubleshoot production issues and deliver timely resolutions.
Continuously improve self, team, and the larger organization, as well as the technology products and the processes for delivering and supporting those products.
A minimum of 3 years as a technical lead/architect designing enterprise scale, data-driven solutions, including experience modernizing a legacy system
Experience with data processing frameworks (e.g. Apache Spark)
A minimum of 7 years experience with relational databases and SQL (especially Oracle and SQL Server / Azure SQL)
Experience with object-oriented programming (especially Java or C#)
Education: Bachelor’s in Computer Science or related field.
Experience with batch and stream data processing
Experience with Azure Data platform (Azure SQL, Azure Storage, Data Lake, Synapse, HDInsight, Databricks, Data Factory)
Experience in developing and troubleshooting database stored procedures
Experience with SQL performance tuning
Experience in applying software patterns
Experience providing code reviews and mentoring engineers
Experience with command-line and with writing shell scripts
Experience with Spring Batch and Spring Cloud Dataflow
Exposure to computational notebooks (e.g. Jupyter notebooks, Azure notebooks) and data visualization (e.g. Power BI)
Other Knowledge, Skills, Abilities or Certifications:
Azure certifications are a plus.
Technical certifications focused on data and integration are a plus.
Industry experience in the health care sector is a plus.
Approaches work with a strong sense of urgency and leads team to have the same drive.
EQUAL EMPLOYMENT OPPORTUNITY
Wolters Kluwer U. S. Corporation and all of its subsidiaries, divisions and customer/business units is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.
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