The speed of technology. The influx of data. Shifting regulations. Increased customer expectations.
That's where you'll find DST, helping clients find opportunity in ever-changing and complex customer, business, and regulatory requirements. Mastering complexity is a constantly changing and evolving challenge one that only a few people can embrace and thrive upon.
If you see your opportunity in complexity, then we are the right fit for you.
As an Associate with DST Pharmacy Solutions, you will be part of an organization that promotes better health outcomes for consumers through clinical and technological innovations. We accomplish this by leveraging the robust technology foundation and powerful analytic resources that are the core of DST, with industry leading clinical expertise and strategic pharmacy and healthcare solutions. You will join a team that is redefining the value of pharmacy in healthcare through the integration of advanced analytics, clinical insights and transformative digital capabilities.
Responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company's data architecture to support our next generation of products and data initiatives.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety ofdata sources using SQL and 'big data' technologies.
Build analytics tools that pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Work with data and analytics experts to strive for greater functionality in our data systems.
Bachelor's degree and 2 years of work-related experience, or 4 years equivalent work-related experience
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing 'big data' data pipelines, architectures and data sets.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Strong project management and organizational skills.
Experience supporting and working with cross-functional teams in a dynamic environment.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
Experience with big data tools: Hadoop, Spark, Kafka, etc
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
Kansas City Missouri
DST is an equal opportunity employer and values a diverse and inclusive workplace. All qualified candidates will receive consideration for employment without regard to age, race, color, religion, genetic information, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. For more information about Equal Opportunity in the Workplace please click here and here. DST is committed to working with and providing reasonable accommodation to job applicants with disabilities. If you are a qualified individual with a disability and need an accommodation or accessibility assistance to complete the online application, please contact us at PeopleCenter@dstsystems.com for assistance.
DST Systems, Inc.