Job description
Data Engineer
Location: Washinton, Oregon, Idaho, Utah (remote work available from these states)
Are you a data engineer who understands the value of data with mechanical tendencies and a desire to know how things work and to improve them? Do you have experience in handling the design and construction of data management systems? Do you enjoy working with groundbreaking technology and services such as AWS Web services, Snowflake, and innovative data transformation tools to build a modern enterprise data analytics platform? If so, come join me in a team of amazing, collaborative, and forward-thinking group of teammates to transform Cambia Health Solutions data and analytics landscape from the ground up.
This position will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for multi-functional teams. The ideal candidate is an experienced data pipeline builder who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The hire 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 data products and data initiatives.
Responsibilities
- 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 of data sources using SQL, AWS Web Services, and Snowflake
- Keep our enterprise data assets secure through data de-risking and access controls
- Work with data and analytics professionals to strive for greater functionality in our data ecosystem
Requirements
- Bachelor's degree in computer science, software/computer engineering, applied mathematics, or physics statistics
- Intellectual curiosity to find new and unusual ways of how to tackle data management issues
- Ability to approach data organization challenges while keeping an eye on what's important
- Sophisticated working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement
- Strong analytic skills related to working with structured/unstructured/relational datasets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Experience supporting and working with multi-functional teams in a dynamic environment.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- A successful history of manipulating, processing, and extracting value from large, disconnected datasets preferred
- Prior experience with a health care payer Member, Claim, and Actuarial data models is preferred
We are an Equal Opportunity and Affirmative Action employer dedicated to workforce diversity and a drug and tobacco-free workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, age, sex, sexual orientation, gender identity, disability, protected veteran status or any other status protected by law. A background check is required.
If you need accommodation for any part of the application process because of a medical condition or disability, please email [email protected] . Information about how Cambia Health Solutions collects, uses, and discloses information is available in our Privacy Policy .
