Staff Data Engineer
About The Position
Caremark LLC, a CVS Health company, is hiring for the following role in Woonsocket, RI: Staff Data Engineer to design, build and manage large scale data structures, pipelines and efficient Extract/Load/Transform (ETL) workflows to support business applications. Duties include: develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs; write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing; collaborate with Data Science team to transform data and integrate algorithms and models into automated processes; leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines; utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems; build data marts and data models to support Data Science and other internal customers; integrate data from a variety of sources and ensure adherence to data quality and accessibility standards; analyze current information technology environments to identify and assess critical capabilities and recommend solutions; and experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case. Mentor junior team members. Independently lead development of solutions with high complexity and risk. Telecommuting available. Multiple positions.
Requirements
- Master’s degree (or foreign equivalent) in Business administration or a related field.
- 24 months of experience in the job offered or related occupation.
- Two (2) year of experience in writing application code and deploying to production.
- Two (2) year of experience in Relational database concepts.
- Two (2) year of experience in CI/CD.
- Two (2) year of experience in Python.
- Two (2) year of experience in Amazon Web Services (AWS).
- Two (2) year of experience in Azure.
- Two (2) year of experience in PowerBI.
- Two (2) year of experience in Spark.
- Two (2) year of experience in HDFS.
- Two (2) year of experience in Data analytics on large data sets in healthcare, business, or retail sector.
Responsibilities
- Develop large scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs.
- Write ETL (Extract/Transform/Load) processes, design database systems, and develop tools for real-time and offline analytic processing.
- Collaborate with Data Science team to transform data and integrate algorithms and models into automated processes.
- Leverage knowledge of Hadoop architecture, HDFS commands, and designing and optimizing queries to build data pipelines.
- Utilize programming skills in Python, Java, or similar languages to build robust data pipelines and dynamic systems.
- Build data marts and data models to support Data Science and other internal customers.
- Integrate data from a variety of sources and ensure adherence to data quality and accessibility standards.
- Analyze current information technology environments to identify and assess critical capabilities and recommend solutions.
- Experiment with available tools and advise on new tools to provide optimal solutions that meet the requirements dictated by the model/use case.
- Mentor junior team members.
- Independently lead development of solutions with high complexity and risk.
Benefits
- Medical, dental, and vision benefits
- 401(k) retirement savings plan
- Employee Stock Purchase Plan
- Fully-paid term life insurance plan
- Short-term and long term disability benefits
- Well-being programs
- Education assistance
- Free development courses
- CVS store discount
- Discount programs with participating partners
- Paid Time Off (PTO) or vacation pay
- Paid holidays
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
